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Cloud tools for web scraping and data extraction
Deploy pre-built tools that crawl websites, extract structured data, and feed your applications. Reliable web data without maintaining scrapers.
Automate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
SDC facilitates development of dist. systems of medical devices.
OpenSDC is a set of libraries that form a communication framework to facilitate the development of distributed systems of medical devices in high-acuity environments. It is based on the upcoming SDC standard, which is specified by the IEEE in IEEE Std 11073-20702-2016 (Point-of-care medical device communication Part 20702: Medical Devices Communication Profile for Web Services), IEEE Std 11073-10207-2017 (Point-of-care medical device communication Part 10207: Domain Information and Service Model for Service-Oriented Point-of-Care Medical Device Communication), and P11073-20701 (IEEE Draft Standard for Service-Oriented Medical Device Exchange Architecture & Protocol Binding).
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As of 2018-06-28, this project has moved to https://github.com/AdamaJava. This copy of the code will remain but all new code updates and releases will be from the new site.
Java code developed by the Australian ICGC team for operating on next-generation sequencing data. This code is currently being maintained and expanded by the QIMR Berghofer Genome Informatics team (http://www.qimrberghofer.edu.au/lab/genome-informatics/)
More details and documentation can be found on the...
This ohnlp project has released "pipelines" that were contributed by members of the OHNLP Consortium. The pipelines are based on the Apache UIMA framework.
medKAT/P, MedCoref, MedTagger, MedXN, and cTAKES are licensed under Apache License V2.0.
MedTime is licensed under GNU General Public License version 3.0 (GPLv3).
cTAKES development has moved to apache.org.
See http://ctakes.apache.org/
Graph Processing Framework for Medical Information
Gpf4Med is a graph processing framework for clinical data, which can leverage from previously existing medical database and Cloud computing facilities to address large-scale studies.
Axe Credit Portal - ACP- is axefinance’s future-proof AI-driven solution to digitalize the loan process from KYC to servicing, available as a locally hosted or cloud-based software.
Banks, lending institutions
Founded in 2004, axefinance is a global market-leading software provider focused on credit risk automation for lenders looking to provide an efficient, competitive, and seamless omnichannel financing journey for all client segments (FI, Retail, Commercial, and Corporate.)
This project aims the requirement of managed informations / documents in the treatment of patients, i.e. integrated care. The underlaying data model implements standards of electronic health recording, the project is based on a SQL db and Java EE framework. This is currently a student driven project for educational purposes.
Nengo is a suite for building and simulating models of large neural networks. It is based on Eliasmith & Anderson's Neural Engineering Framework, which provides a coherent theory of computation, representation, and dynamics in neural circuits.
unGrid is an open source framework for distributed medical imaging. The system consists of a computing grid that harnesses idle CPU cycles from existing workstations, and a framework to execute jobs on that grid.
Supply chain managers, executives, and businesses seeking AI-powered solutions to optimize planning, operations, and decision-making across the supply
Logility is a market-leading provider of AI-first supply chain management solutions engineered to help organizations build sustainable digital supply chains that improve people’s lives and the world we live in. The company’s approach is designed to reimagine supply chain planning by shifting away from traditional “what happened” processes to an AI-driven strategy that combines the power of humans and machines to predict and be ready for what’s coming. Logility’s fully integrated, end-to-end platform helps clients know faster, turn uncertainty into opportunity, and transform the supply chain from a cost center to an engine for growth.
HELEN is a flexible framework to support the computer-based management of Clinical Practice Guidelines (CPG). It covers the whole life-cycle of a guideline, providing methods and tools for each step (from development to clinical use).
Avenzoar is a one-year exploration of renal cell carcinoma morphology and its related single nucleotide polymorphisms (SNPa) as a method of automating diagnosis of cancer by using a computer-aided decision tree controlled by analytical statistics.
The Disease Simulation Framework (DiSiF) represents a spatial simulation environment for infectious viral disease spread. The framework currently embodies a very simple framework for simulation in 2D space with focus on SARS and the Common Flu.
MobHealth is an extensible mobile health framework/API written in JavaME. The current version supports two sensor-data formats (e.g. used by AliveTec). It already provides higher-level classes for data recognition like body position or hypoxia-detection.
Indivo is a distributed, web-based, personally controlled health record system that is accessible to the nomadic user and built to public standards. The Indivo project includes a pluggable web services API, web-based UI, data subscription framework, etc.
OpenEMed is a distributed healthcare and medical information framework based on open standards including those of HL7 and the healthcare taskforce of the OMG. These standards include identity management, observation access, access, and terminology.
Role Manager is a security management framework based on the NIST model for Role Based Access Control (RBAC) and the Java[TM] 2 Platform security standards. The access control policies and the RBAC Model are implemented using the RBAC profile of XACML.
OntoCardio is an initiative to build ontologies for the legacy Cardio Database (Resource of bioinformation on cardiovascular diseases). SMI's Protege and its OWL plug-in has been adopted as the ontology construction and programming framework.
A java based neural network framework. The Auratus network is built around an XML messaging system, allowing for a complete MVC design. Additionally, Auratus networks are constructed and at the node/edge level, allowing for advanced topologies.
Cooperative effort to develop a Java-XML API and architecture to manage and share health concepts and processes eficiently. Includes a framework to develop healthcare applications (from PDA reminders to hospital information systems) quickly and easily.
cTAKES is a system for annotating clinical documents, built on the Apache UIMA framework .
cTAKES development has moved to apache.org.
Please see http:/ctakes.apache.org
The i2b2 Center is developing a scalable informatics framework that will bridge clinical research data and the vast data banks arising from basic science research in order to better understand the genetic bases of complex diseases.