Alternatives to Healnet

Compare Healnet alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Healnet in 2026. Compare features, ratings, user reviews, pricing, and more from Healnet competitors and alternatives in order to make an informed decision for your business.

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    ClinCapture

    ClinCapture

    ClinCapture

    At ClinCapture our mission is to build software that saves lives. Our technology lowers the cost of clinical trials by streamlining data capture processes while providing a platform that protects patient privacy. Clincapture advances the evaluation and development of drugs, biologics, and devices that demonstrate promise for the diagnosis and/or treatment of a wide range of diseases or medical conditions.
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    Recursion

    Recursion

    Recursion

    Recursion is a TechBio company focused on transforming drug discovery by combining biology, data, and artificial intelligence. Founded over a decade ago, the company pioneered the use of large-scale cellular imaging to train AI models that decode the biological drivers of disease. Recursion’s mission is to deliver better medicines through novel insights and precision design, reducing the high failure rates of traditional drug development. Its proprietary Recursion OS platform integrates massive biological datasets with machine learning to accelerate discovery from target identification to clinical development. The company has built an advanced pipeline of potential first-in-class and best-in-class therapies targeting aggressive cancers and rare diseases. Automated wet labs and robotics enable millions of experiments per week, feeding continuous learning into its AI models.
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    BenevolentAI

    BenevolentAI

    BenevolentAI

    BenevolentAI is an AI-enabled drug discovery platform and scientific technology company that unites advanced artificial intelligence, machine learning, and domain-specific science to accelerate the discovery, design, and development of new medicines for complex diseases by making sense of vast, diverse biomedical data and generating actionable scientific insights faster than traditional methods. Its proprietary Benevolent Platform ingests and harmonizes structured and unstructured biomedical information, including literature, genomics, clinical information, and multi-omics data, into a comprehensive knowledge graph, enabling scientists to reason across biological systems, generate hypotheses, predict novel drug targets, and design candidate molecules with higher confidence and lower failure rates.
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    Atomwise

    Atomwise

    Atomwise

    We use our AI engine to transform drug discovery. Our discoveries help create better medicines faster. Our AI-enabled discovery portfolio includes wholly-owned and co-developed pipeline assets, and is backed by prominent investors. Atomwise developed a machine-learning-based discovery engine that combines the power of convolutional neural networks with massive chemical libraries to discover new small-molecule medicines. The secret to reinventing drug discovery with AI is people. We are dedicated to developing the best AI platform and using it to transform small molecule drug discovery. We have to tackle the most challenging, seemingly impossible targets and streamline the drug discovery process to give drug developers more shots on goal. Computational efficiency enables screening of trillions of compounds in silico, increasing the likelihood of success. Demonstrated exquisite model accuracy, overcoming the challenge of false positives.
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    GPT-Rosalind
    GPT-Rosalind is a purpose-built frontier reasoning model developed by OpenAI to accelerate scientific research across biology, drug discovery, and translational medicine. It is designed specifically for life sciences workflows, where researchers must navigate large volumes of literature, experimental data, and specialized databases to generate and validate new ideas. It combines deep domain understanding in areas such as chemistry, genomics, protein engineering, and disease biology with advanced tool-use capabilities, allowing it to interact with scientific databases, analyze experimental outputs, and support complex, multi-step reasoning tasks. It can assist with evidence synthesis, hypothesis generation, literature review, sequence interpretation, and experimental planning, helping scientists move faster from raw data to actionable insights. GPT-Rosalind transforms complex, time-intensive research processes into more efficient AI-assisted workflows.
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    BIOiSIM

    BIOiSIM

    VERISIMLife

    BIOiSIMTM is a first-in-class 'virtual drug development engine' that offers unprecedented value for the drug development industry by narrowing down the number of drug compounds that offer anticipated value for the treatment or cure of specific illnesses or diseases. We offer a range of translational-based solutions, customized for your pre-clinical and clinical programs. These offerings are all centered around our proven and validated BIOiSIMTM platform for small molecules, large molecules, and viruses. Our models are built on data from thousands of compounds across 7 species, leading to robustness rarely seen in the industry. With a focus on human outcomes, the platform has at its core a translatability engine that transforms insights across species. The BIOiSIMTM platform can be used before the preclinical animal trial start, allowing earlier insights and savings in expensive outsourced experimentation.
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    Schrödinger

    Schrödinger

    Schrödinger

    Transform drug discovery and materials research with advanced molecular modeling. Our physics-based computational platform integrates differentiated solutions for predictive modeling, data analytics, and collaboration to enable rapid exploration of chemical space. Our platform is deployed by industry leaders worldwide for drug discovery, as well as for materials science in fields as diverse as aerospace, energy, semiconductors, and electronics displays. The platform powers our own drug discovery efforts, from target identification to hit discovery to lead optimization. It also drives our research collaborations to develop novel medicines for critical public health needs. With more than 150 Ph.D. scientists on our team, we invest heavily in R&D. We’ve published over 400 peer-reviewed papers that demonstrate the strength of our physics-based approaches, and we’re continually pushing the limits of computer modeling.
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    AIDDISON

    AIDDISON

    Merck KGaA

    AIDDISON™ drug discovery software combines the power of artificial intelligence (AI), machine learning (ML), and 3D computer-aided drug design (CADD) methods to act as a valuable toolkit for medicinal chemistry needs. As a unified platform for efficient and effective ligand-based and structure-based drug design, it integrates all the facets for virtual screening and supports methods for in-silico lead discovery and lead optimization.
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    Cerella

    Cerella

    Optibrium

    Proven AI-powered drug discovery. Cerella creates new value from your drug discovery data, revealing hidden insights into the best compounds and most valuable experiments for your project. It makes confident predictions, accurately filling in missing values, especially for expensive downstream experiments that can’t be predicted by other methods. This enables you to do more, even with sparse, limited data sets.
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    Eidogen-Sertanty Target Informatics Platform (TIP)
    Eidogen-Sertanty's Target Informatics Platform (TIP) is the world's first structural informatics system and knowledgebase that enables researchers with the ability to interrogate the druggable genome from a structural perspective. TIP amplifies the rapidly expanding body of experimental protein structure information and transforms structure-based drug discovery from a low-throughput, data-scarce discipline into a high-throughput, data-rich science. Designed to help bridge the knowledge gap between bioinformatics and cheminformatics, TIP supplies drug discovery researchers with a knowledge base of information that is both distinct from and highly complementary to information furnished by existing bio- and cheminformatics platforms. TIP's seamless integration of structural data management technology with unique target-to-lead calculation and analysis capabilities enhances all stages of the discovery pipeline.
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    DNAnexus Apollo
    DNAnexus Apollo™ accelerates precision drug discovery by unlocking the power of collaboration to draw critical insights from omics data. Precision drug discovery requires collecting and analyzing huge volumes of omics and clinical data. These datasets are incredibly rich resources, but most legacy and home-grown informatics tools can't cope with their size and complexity. Precision medicine programs can also be hampered by siloed data sources, underpowered collaboration tools, and the burden of complex and always changing regulatory and security requirements. DNAnexus Apollo™ supports precision drug discovery programs by empowering scientists and clinicians to explore and analyze omics and clinical data together, in a single environment, built on a robust, scalable cloud platform. Apollo lets them share data, tools, and analyses easily and securely with peers and collaborators everywhere - whether they're on another floor, or another continent.
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    Amazon Bio Discovery
    Amazon Bio Discovery is an AI-powered application designed to accelerate early-stage drug discovery by combining computational biology models with real-world laboratory testing in a unified, “lab-in-the-loop” workflow. It provides scientists with direct access to a broad catalog of biological foundation models trained on large-scale biological datasets, enabling them to generate and evaluate potential drug candidates such as antibodies with greater speed and precision. Through an integrated AI agent, users can interact in natural language to select appropriate models, configure experiments, and optimize inputs without requiring advanced coding or infrastructure expertise. It allows researchers to build multi-step pipelines that combine different models, benchmark their performance, and reuse workflows across teams, improving collaboration between computational biologists and lab scientists.
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    Mass Dynamics

    Mass Dynamics

    Mass Dynamics

    Discover biological biomarkers, create insights into disease mechanisms, discover new drugs or identify changes in protein levels from a set of carefully designed experiments. We’ve made it easy to start unlocking the power of MS and Proteomics so you can focus on the biological complexity and move closer to the moment of discovery. Our automated and repeatable workflow allows for quicker experiment startup and turnaround times, giving you the control and flexibility to make and act on decisions in the moment. Allowing you to focus on biological insights and human-to-human collaboration, our proteomics data processing workflow is built to scale, repeatedly. We’ve pushed heavy and repetitive processing to the cloud, enabling a seamless and enjoyable experience. Our intelligent Proteomics workflow seamlessly integrates complex moving parts to enable larger experiments to be processed and analyzed with ease.
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    Prescription Pad

    Prescription Pad

    CompuRx Infotech

    Safe, first-rate, foolproof prescription writing facility. Comparative Analysis Of Patient's Medical History. Check Drug Interaction & Brand Interaction. Automatic drug safety checks. Enables searching suitable drugs & brands. Keep record of every visit of individual patient in chronological order. A new Prescription would take even less than 2 minutes to complete. Scan patient's past history, family history and give you useful tips. Check for drug safety at individual disease level also like in case of G6PD, PORPHYRIA, HYPERTENSION, COPD etc. Makes the life of both the doctors and patients easy, comfortable and organized. Complete prescribing information of nearly 70,000 Brands of Indian, British & American drug database Pharmaceuticals. Full monograph of nearly 3,000 drugs (generic drugs) compiled from PDR of U.S.A., Martindale book of pharmacology, British National Formulary etc. Contains complete diagnostic information, differential diagnosis & treatment protocols.
    Starting Price: $170 one-time payment
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    Bruker Drug Discovery
    Bringing a new drug into the market, from the first step to the final market introduction, is a time-consuming, highly regulated, and expensive process, which can take a decade or more. Final success crucially depends on the early availability of accurate analytical results, fast enough for taking the right decisions at the beginning of the development and minimizing late attrition rates. Today’s drug development is mainly based on a rational approach where typically establishing the biological target to focus on is the first key step. This target identification requires a deep understanding of the candidates´ properties to identify the most promising ones as quickly and reliable as possible. Once a biological target has been established, finding the most promising lead molecules is often seen as the next challenge. Typically, lead discovery is the identification of potential drug candidates – either small organic molecules or biologic assemblies with therapeutic potential.
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    VeraChem

    VeraChem

    VeraChem

    VeraChem LLC was founded in 2000 to advance the state of the art in computer-aided drug discovery and molecular design by developing computational chemistry methods that are based on cutting-edge basic science but are also applicable in applied science research settings. Efficient high-performance software implementations of these methods coupled with comprehensive user support are a central company strategy for product development. Current VeraChem software capabilities include protein-ligand and host-guest binding affinity prediction, fast calculation of accurate partial atomic charges for drug-like compounds, computation of energies and forces with all the commonly used empirical force fields, automatic generation of alternate resonance forms of drug-like compounds, conformational search with the powerful Tork algorithm, and automatic detection of topological and 3D molecular symmetries. VeraChem’s software packages are constructed from a modular code base.
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    Owkin

    Owkin

    Owkin

    Patients from around the world suffer from complex diseases and a staggering variety of symptoms. However, they share one thing in common: Patients have a need for faster development of safer and more effective therapies. Owkin’s mission is to empower researchers in hospitals, universities, and pharmaceutical companies to: understand why drug efficacy varies from patient to patient, enhance the drug development process, and identify the best drug for the right patient to improve treatment outcomes. Owkin Loop is the foundation of Owkin’s research platform: it connects medical researchers with high-quality datasets from leading academic research centers around the world. Owkin Loop is powered by the two main components of Owkin’s Software Stack: Owkin Studio, our machine learning platform, and Owkin Connect, our federated learning framework. Owkin medical research collaborations are in Oncology, Immunology and Cardiovascular diseases.
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    Genedata Biologics
    Genedata Biologics® streamlines discovery of biotherapeutics including bispecifics, ADCs, TCRs, CAR-Ts, and AAVs. The most widely adopted platform across the industry, it integrates all discovery workflows so you can focus on true innovation. Accelerate research with a first-in-class platform uniquely designed from the start to digitalize biotherapeutic discovery. The platform facilitates complex R&D processes by designing, tracking, testing, and assessing novel biotherapeutics drugs. It works with any format, from antibodies, bi- or multi-specifics, ADCs, novel scaffolds, and therapeutic proteins, to engineered therapeutic cell lines such as TCRs and CAR-T cells. Acting as a central end-to-end data backbone, Genedata Biologics integrates all R&D processes, from library design and immunizations, selections and panning, molecular biology, screening, protein engineering, expression, purification, and protein analytics, to candidate developability and manufacturability assessments.
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    CDD Vault

    CDD Vault

    Collaborative Drug Discovery

    With CDD Vault, you can intuitively organize chemical structures and biological study data, and collaborate with internal or external partners through an easy to use web interface. Start your free trial and see first hand how easy it is to manage drug discovery data. Tailored for you Affordable Scales with your project team(s) Activity & Registration * Electronic Lab Notebook (ELN) * Visualization * Inventory * APIs * Secure Online Hosting
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    BIOVIA Discovery Studio

    BIOVIA Discovery Studio

    Dassault Systèmes

    Today’s biopharmaceutical industry is marked by complexity: growing market demands for improved specificity and safety, novel treatment classes and more intricate mechanisms of disease. Keeping up with this complexity requires a deeper understanding of therapeutic behavior. Modeling and simulation methods provide a unique means to explore biological and physicochemical processes down to the atomic level. This can guide physical experimentation, accelerating the discovery and development process. BIOVIA Discovery Studio brings together over 30 years of peer-reviewed research and world-class in silico techniques such as molecular mechanics, free energy calculations, biotherapeutics developability and more into a common environment. It provides researchers with a complete toolset to explore the nuances of protein chemistry and catalyze discovery of small and large molecule therapeutics from Target ID to Lead Optimization.
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    InSilicoTrials

    InSilicoTrials

    InSilicoTrials

    InSilicoTrials.com is a web-based platform, which provides a user-friendly computational modeling and simulation environment where many integrated easy-to-use in silico tools are readily available. The platform targets primarily users from the medical devices and pharmaceutical sectors. The in silico tools available for medical devices enable computational testing in different biomedical areas like radiology, orthopedics and cardiovascular during product design, development and validation processes. For the pharmaceutical sector, the platform provides access to in silico tools developed at all stages of the drug discovery and development processes and for many different therapeutic areas. We have built the only cloud-platform based on the crowdscience concept that makes it easy to use validated models and cut your R&D costs now. A growing catalogue of models ready to be used, on a pay per use basis.
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    Scitara DLX
    Scitara DLX™ offers a rapid connectivity infrastructure for any instrument in the life science laboratory in a fully compliant and auditable cloud-based platform. Scitara DLX™ is a universal digital data infrastructure that connects any instrument, resource, app and software in the laboratory. The cloud-based, fully auditable platform connects all data sources across the lab, allowing the free flow of data across multiple end points. This allows scientists to devote their time to scientific research, not waste it solving data issues. DLX curates and corrects data in flight to support the development of accurate, properly structured data models that feed AI and ML systems. This supports a successful digital transformation strategy in the pharma and biopharma industries. Unlocking insights from scientific data enables faster decision-making in drug discovery and development, helping bring drugs to market more quickly.
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    Simulations Plus

    Simulations Plus

    Simulations Plus

    Our reputation as thought leaders in the areas of ADMET property prediction, physiologically-based pharmacokinetics (PBPK) modeling, pharmacometrics, and quantitative systems pharmacology/toxicology is earned through the success our clients have found through their relationship with us. We have the talent and 20+ years of experience to translate science into user-friendly software and provide expert consulting supporting drug discovery, clinical development research, and regulatory submissions.
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    DrugPatentWatch

    DrugPatentWatch

    DrugPatentWatch

    Global biopharmaceutical drug patent and generic entry business intelligence. Anticipate future budget requirements and proactively identify generic sources. Assess past successes of patent challengers and elucidate research paths of competitors. Inform portfolio management decisions on future drug development. Predict branded drug patent expiration, identify generic suppliers, and prevent overstock of branded drugs. Obtain formulation and manufacturing information; identify final formulators, repackagers, and relabelled.
    Starting Price: $250 per month
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    iMed e-Rx

    iMed e-Rx

    iMedWare

    iMed e-Rx electronic prescription system starts from $43/month and can be used for writing both legend and EPCS compliant prescriptions. Which is Certified for e-Prescribing in all States. Our software has Electronic prior authorization and it has Formulary support. Our key highlights are Drug-Drug, Allergy, and Disease interaction checking, Database of drug stores with frequent updates, Drug therapy monitoring, 24/7 monitoring of script delivery and so on.
    Starting Price: $43 per month
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    Iktos

    Iktos

    Iktos

    Makya is the first user-friendly SaaS platform for AI-driven de novo drug design focused on Multi-Parametric Optimization (MPO). It enables the design of novel and easy-to-make compounds in line with a multi-objective blueprint with unprecedented speed, performance, and diversity. Makya offers multiple generative algorithms covering different use cases from hit discovery to lead optimization: fine-tuning generator to find optimal solutions within your chemical space in line with your project blueprint; novelty generator to find new ideas with high novelty for re-scaffolding/hit discovery; forward generator to design a focused library of compounds easily accessible from commercial starting materials. The new Makya 3D module enhances the user experience and scientific utility of Makya. With an extensive set of 3D modeling features in both ligand-based and structure-based pipelines, with Makya 3D you can now calculate 3D scores and use these to guide generations natively in Makya.
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    NVIDIA Clara
    Clara’s domain-specific tools, AI pre-trained models, and accelerated applications are enabling AI breakthroughs in numerous fields, including medical devices, imaging, drug discovery, and genomics. Explore the end-to-end pipeline of medical device development and deployment with the Holoscan platform. Build containerized AI apps with the Holoscan SDK and MONAI, and streamline deployment in next-generation AI devices with the NVIDIA IGX developer kits. The NVIDIA Holoscan SDK includes healthcare-specific acceleration libraries, pre-trained AI models, and reference applications for computational medical devices.
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    Patsnap

    Patsnap

    Patsnap

    Patsnap is the leading innovation intelligence platform designed to help you identify technological opportunities that could affect the future growth and survival of your business. With the application of AI technology, Patsnap makes it possible to gain actionable intelligence from millions of global innovation data points on patents, venture capital, partnerships, journals, startups, mergers & acquisitions, technology news and more. From ideation to commercialization, Patsnap separates the signal from the noise at every step of your innovation funnel so you can make better business decisions. Our AI-powered technology connects billions of datasets and allows innovation professionals to uncover emerging trends, spot risks, and identify market opportunities. Connect disparate datapoints and drive drug discovery and development with Patsnap. Easily uncover associations between diseases, target companies, and drugs while improving R&D and accelerating time to market.
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    DynaMedex
    DynaMedex combines the clinical expertise and extensive, curated disease content of DynaMed with the comprehensive view into treatment options, depth and breadth of drug information and AI search capabilities of Micromedex. Provide users with evidence-based insights for optimal clinical decision-making and improved patient outcomes. With DynaMedex, clinicians can easily search, browse, and follow the topics and specialties that matter most to them and get both quick and in-depth answers to their drug-related questions. Explore the tool and see firsthand how it can lead to optimal clinical decision-making. Receive fast answers to your drug-related questions with natural and conversational search capabilities. The "Ask Watson" assistant uses AI to accelerate your access to drug information by bypassing the keyword search process in favor of natural language queries. This means you can type the way you talk and get the answers you need.
    Starting Price: Free
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    Aiforia

    Aiforia

    Aiforia

    Aiforia equips pathologists and scientists in preclinical and clinical labs with powerful deep learning and cloud-based technology to advance their image analysis tasks and workflows. From empowering researchers in the identification of novel biomarkers of disease, and supporting R&D scientists in speeding up the time-to-market of novel drugs, to helping pathologists enhance the accuracy of cancer diagnostics, Aiforia has the expertise and experience to transform healthcare all the way from discovery to diagnosis. For clinical pathology labs aiming to increase productivity and improve diagnostic accuracy, the Aiforia Clinical Suites offer a portfolio of tools for AI-supported diagnostics, intelligent visualization, QC, and automated pre- and post-screening. We are currently developing Suites for some of the world’s most prevalent cancers and have CE-IVD marking for AI models in lung and breast cancer.
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    Oracle Health Multum Drug Database
    The Multum drug, herbal, and nutraceutical database is a leading industry resource designed to assist you in your safe medication use efforts and prevention of adverse drug events. The software solutions and databases created by Multum provide pertinent drug information and are designed to help your clinicians safely recommend medications with the accurate dosage while addressing drug interaction concerns. Lexicon Plus provides a foundational database with comprehensive drug product and disease nomenclature information to link with our clinical information systems and other outside systems. VantageRx Database contains drug knowledge in a Microsoft Access format that embeds into your own application and delivers essential clinical content through a series of database tables. Organizations receive development interfaces. We help ensure your needs are met by enabling third-party applications to integrate specialized features into our software through an open and secure platform.
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    LiveDesign

    LiveDesign

    Schrödinger

    LiveDesign is an enterprise informatics platform that enables teams to rapidly advance drug discovery projects by collaborating, designing, experimenting, analyzing, tracking, and reporting in a centralized platform. Capture ideas alongside experimental and modeling data. Create and store new virtual compounds in a centralized database, evaluate through advanced models, and prioritize new designs. Integrate biological data and model results across federated corporate databases, apply sophisticated cheminformatics to analyze all data at once, and progress compounds faster. Drive predictions and designs using advanced physics-based methods paired with machine learning techniques to rapidly improve prediction accuracy. Work together with remote team members in real-time. Share ideas, test, revise, and advance chemical series without losing track of your work.
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    NVIDIA BioNeMo
    BioNeMo is an AI-powered drug discovery cloud service and framework built on NVIDIA NeMo Megatron for training and deploying large biomolecular transformer AI models at a supercomputing scale. The service includes pre-trained large language models (LLMs) and native support for common file formats for proteins, DNA, RNA, and chemistry, providing data loaders for SMILES for molecular structures and FASTA for amino acid and nucleotide sequences. The BioNeMo framework will also be available for download for running on your own infrastructure. ESM-1, based on Meta AI’s state-of-the-art ESM-1b, and ProtT5 are transformer-based protein language models that can be used to generate learned embeddings for tasks like protein structure and property prediction. OpenFold, a deep learning model for 3D structure prediction of novel protein sequences, will be available in BioNeMo service.
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    BC Platforms

    BC Platforms

    BC Platforms

    BC platforms leverages latest science, unique technology capabilities, and strategic partnerships to achieve our mission of revolutionizing drug discovery and personalizing care. Modular, highly configurable platform for integrated healthcare data. Open analytics framework seamlessly combining latest innovative methods, analytics and technology developments in one single platform. Superior security: ISO 27001 certified, GDPR and HIPAA compliance. Complete product portfolio enabling a modern healthcare system to fully embrace personalized medicine. Scalable deployments enabling a robust start as well as large scale healthcare operation. Accelerated translation of research insights into clinical practice with our unique end to end toolbox. We help reduce your risk, enhance your pipeline value and advance your enterprise data strategy by solving the barriers of data access and enabling rapid insight generation.
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    Causaly

    Causaly

    Causaly

    Leverage the power of AI to expedite the journey from bench research and laboratory insights to the launch of life-changing therapies. Gain up to 90% in research productivity by reducing your reading time from months to minutes. Cut through the noise with a high-precision, high-accuracy search to navigate the ever-growing volume of scientific literature with ease. Save time, reduce bias and increase odds of novel discoveries. Deeply explore disease biology and conduct advanced target discovery. Causaly’s high-precision knowledge graph consolidates evidence from millions of publications, making deep, unbiased scientific exploration possible. Rapidly navigate biological cause-and-effect relationships without being an expert. Get a view of all scientific documents and uncover hidden connections. Causaly’s powerful AI machine reads millions of published biomedical literature to support better decision-making and research outcomes.
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    Kaleido

    Kaleido

    Kaleido

    The microbiome is implicated in numerous diseases and health conditions. Learn how Kaleido is leading a differentiated approach to translating the promise of the microbiome into solutions for patients. The human microbiome is a community of more than 30 trillion microbes, organisms that include bacteria, viruses, archaea and fungi, which reside on and inside the human body. Over the last decade, research has increased exponentially on the impact the microbiome has on human health, including cardiovascular disease, cancer, diabetes, Parkinson’s disease and allergies. This highly complex microbial ecosystem has been referred to as a “newly discovered organ.” Many other human organs command tens of billions of dollars for therapeutics that treat disease by modulating physiology. From a therapeutic perspective, the microbiome organ remains a largely untapped frontier in healthcare.
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    Kanteron

    Kanteron

    Kanteron Systems

    Kanteron Platform ingested medical images, digital pathology slides, genomics sequences, and patient data from modalities, scanners, sequencers and databases, and provided a complete data toolkit to every team in hospital networks. Pharmacogenomics for adverse medication event prevention, and Precision Medicine application at the point of care: Incorporates sources of drug-gene interaction data that were previously only available in in accessible formats (e.g. tables in a PDF document), implementing the major Pharmacogenomic databases (like PharmGKB, CGI, DGIdb, OpenTargets...) Allows the user to refine their query to certain gene families, types of interactions, classes of drugs, etc. Flexible AI means you can choose the data set that best fits your use case, and apply it to your relevant medical images.
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    Amazon Neptune
    Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security. Proactively detect and investigate IT infrastructure using a layered security approach. Visualize all infrastructure to plan, predict and mitigate risk. Build graph queries for near-real-time identity fraud pattern detection in financial and purchase transactions.
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    SpliceCore

    SpliceCore

    Envisagenics

    Using RNA sequencing (RNA-seq) data and Artificial Intelligence are both a necessity and an opportunity to develop therapeutics that target splicing errors. The use of machine learning enables us to discover new splicing errors and quickly design therapeutic compounds to correct them. SpliceCore is our dedicated AI platform for RNA therapeutics discovery. We developed this technology platform specifically for the analysis of RNA sequencing data. It can identify, test and validate hypothetical drug targets faster than traditional methods. At the heart of SpliceCore is our proprietary database of more than 5 million potential RNA splicing errors. It is the largest database of splicing errors in the world and it is used to test every RNA sequencing dataset that is input for analysis. Scalable cloud computing enables us to process massive amounts of RNA sequencing data efficiently, at higher speed and lower cost, exponentially accelerating therapeutic innovation.
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    Embase

    Embase

    Elsevier

    Improve your biomedical research with the world’s most comprehensive biomedical literature database. More biomedical evidence by searching comprehensive, relevant, and up-to-date biomedical research. Create systematic searches and automate query building using intuitive search forms. Uncover drug-disease relationships and drug-drug interactions, manually curated from deep indexing. The accelerated pace of biomedical research and development demands comprehensive information. You anticipate risk by assessing everything that is known. You track safety to meet regulations. You uncover connections to push innovations. Embase is a unique medical literature database where comprehensive goes beyond content. With Emtree indexing of full-text content and dedicated search terms, you find all relevant and current results. This includes information that may not be uncovered in other databases. Scroll down to find out why regulatory agencies recommend Embase in their best practice guidelines.
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    3decision

    3decision

    Discngine

    3decision® is a cloud-based protein structure repository designed for comprehensive structural data management and advanced analytics, enabling small molecule and biologics discovery teams to accelerate structure-based drug design. It centralizes and standardizes experimental and in-silico protein structures from public sources like RCSB PDB and AlphaFoldDB, as well as proprietary data, supporting formats like PDBx/mmCIF and ModelCIF. This ensures easy access to X-Ray, NMR, cryo-EM, and modeled structures, fostering collaboration and enhancing research efforts. Beyond storage, 3decision® enriches entries with metadata and sequence information, including protein-ligand interactions, antibody annotations, and binding site details. Advanced analytical tools identify druggable sites, assess off-target risks, and enable binding site comparisons, transforming vast structural data into actionable knowledge. Its cloud-based platform facilitates collaboration among research teams.
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    PharmaPendium
    PharmaPendium is a comprehensive resource that provides access to FDA and EMA drug approval documents, including pharmacokinetic, pharmacodynamic, and safety profiles. It offers detailed information on drug-drug interactions, adverse effects, and clinical study outcomes, facilitating informed decision-making in drug development and regulatory submissions. The platform's extensive data supports researchers and healthcare professionals in evaluating drug efficacy and safety, contributing to the advancement of pharmaceutical research and patient care. Find information about previous regulatory submissions and profit from precedents to predict agencies’ requirements. Seamlessly move from table view to interactive charts, graphs, and visual aids to easily interrogate and interpret data. Find information by adverse events (MedDRA), targets, indications, drug,s and endpoints using normalized data. Result pages bridge the preclinical to clinical divide.
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    DoseMeRx

    DoseMeRx

    DoseMeRx

    DoseMeRx is the world’s first and largest Bayesian dosing platform designed for clinical practice. Reach your clinical targets faster with our Bayesian dosing platform, clinically proven to significantly improve patient outcomes and lower costs. We’re the only Bayesian dosing platform in the world that’s HITRUST certified. Rest easy knowing that we insist on the highest level of patient data security and integrity. Achieve continuity of care across your health system in just a few clicks. Standardize workflows and optimize your therapeutic drug monitoring program with ease. We have a range of drug models across various therapeutic areas including; vancomycin and infectious disease, transplant medicine, cardiovascular and coagulation management, oncology and pediatrics.
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    Basesoft PharmaSuite
    The software that will help you improve the safety, traceability, quality, agility and integration of your Pharmacotechnics and Medicines Manufacturing Unit. No two pharmacy services are the same, which is why we have divided PharmaSuite into functional modules that will help you manage the different units in the most efficient way. Management of the Pharmacotechnics and Drug Preparation unit (parenteral mixtures). Management of parenteral nutrition.
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    SciSpace BioMed Agent
    SciSpace BioMed is a domain-native AI “co-scientist” for biomedical research that combines a vast literature database with 150+ integrated bio-tools and 100+ academic databases and software suites to streamline complex research workflows, from genomics and single-cell analysis to drug discovery and clinical genomics. It enables researchers to ask natural-language questions, ingest datasets, interpret variants or multi-omics data, design cloning or wet-lab workflows, reason about clinical or disease biology, and generate publication-ready outputs (e.g., figures, tables, and presentations) with full transparency and citations. Users can interact with scientific papers via “chat with PDF,” highlight confusing text, math, or tables, and get clear explanations, ideal for understanding difficult methods or concepts. For literature review or exploratory research, its AI-driven semantic search accesses millions of papers and returns citation-backed summaries.
    Starting Price: $12 per month
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    Clinipace

    Clinipace

    Clinipace

    We deliver a level of collaboration and control not possible in a traditional CRO environment. Our goal is to guide you successfully throughout your clinical development program. At Clinipace, a global, full-service contract research organization (CRO), our approach to clinical research is personal. We deliver a level of collaboration and flexibility not possible in a traditional CRO environment, with an emphasis on personalized services and solutions, regulatory expertise, and therapeutic leadership. Our mission is to improve the way clinical research is performed in major therapeutic areas including oncology, rare disease, gastroenterology, nephrology, and women’s health. Clinipace strives to impact the future of drug development and health care by combining the most advanced technology and a challenge accepted approach.
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    Cytel

    Cytel

    Cytel

    Cytel is a leading global provider of clinical trial design software, biometric services, and advanced analytics, specializing in optimizing clinical trials and assisting pharmaceutical companies in unlocking the full potential of their clinical and real-world data. Founded in 1987 by distinguished statisticians Cyrus Mehta and Nitin Patel, Cytel has been at the forefront of adaptive clinical trial technology and biostatistical science. Our software solutions, including the East Horizon platform, empower precise trial design and simulation, utilizing adaptive and Bayesian tools to optimize protocols and accelerate drug development. The East Horizon platform integrates key components of Cytel's trusted software portfolio into a unified solution with R integration, enhancing trial design capabilities. Additionally, Cytel offers the Xact software suite, a comprehensive toolkit for statistical analyses of small datasets, and sparse, and missing data.
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    Suvoda

    Suvoda

    Suvoda

    Suvoda is a global clinical trial technology company specializing in complex, life-sustaining studies in therapeutic areas such as oncology, central nervous system disorders, and rare diseases. Founded in 2013, Suvoda offers an integrated platform that includes Interactive Response Technology (IRT), electronic Consent (eConsent), electronic Clinical Outcome Assessments (eCOA), and ePatient solutions, all designed to manage critical patient interactions efficiently. Their patented software architecture ensures a seamless user experience, facilitating precise randomization, drug supply management, and real-time data collection. Committed to enhancing patient comprehension and reducing site burdens, Suvoda's solutions are built to adapt to the evolving complexities of clinical trials. Headquartered near Philadelphia, with offices in Europe and Asia, Suvoda has supported over 1,500 trials across more than 85 countries.
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    RxConnect

    RxConnect

    Netsmart Technologies

    RxConnect is a web-based pharmacy solution specifically designed to meet the medication dispensing needs of inpatient hospitals. Its easy-to-use interface allows clinicians to send pharmacy orders directly within their EHR, electronically connecting order entry with pharmacies to seamlessly receive and provide medication. RxConnect supports dispensing capabilities with automated dispensing machines (ADMs) and connects with the electronic medication administration record (eMAR) to provide closed-loop medication management. Clinicians can review and manage drug interactions, allergies and patient-specific dosing via a clinical rules engine. Drug disease, alcohol interactions as well as lab and tobacco, pregnancy, lactation and general precautions and black box warnings are also provided. Inventory, formulary, progress notes, labs integration and intervention documentation, as well as pharmacy notes, are all included.
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    adWATCH

    adWATCH

    Atlant Systems

    adWATCH - AE helps pharmaceutical organizations manage and report adverse events that occur during clinical trials. adWATCH - AE gives the reporter at a clinic, hospital, or investigative site a fast and effective means of generating and managing Adverse Event Reports (AERs) and reporting to the regulatory departments and government agencies. An adverse effect is a negative or dangerous effect experienced by a patient and caused by drugs and/or medical devices. Adverse event reporting requires the tracking of all medical complaint case information, resulting in the generation of MedWatch reports, CIOMS reports and additional reports for management. adWATCH - AE allows researchers, physician investigators, Contract Research Organizations (CROs), clinical trial specialists, and other health professionals to produce and file AERs in the FDA mandated MedWatch and/or CIOMS format.2