Search Results for "ekho-data"
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Showing 11 open source projects for "ekho-data"
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Open Wearables
Self-hosted platform to unify wearable health data
Open Wearables is an open-source initiative that aims to provide a community-driven ecosystem for wearable device software and interoperability by connecting sensor data, activity tracking, and health insights across multiple platforms and devices. Instead of relying on closed vendor ecosystems, the project provides standardized data models and APIs that let developers and hobbyists collect, sync, and analyze biometric and environmental data from wearables, DIY sensors, and open hardware projects. ... -
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TorchIO
Medical imaging toolkit for deep learning
TorchIO is an open-source Python library for efficient loading, preprocessing, augmentation and patch-based sampling of 3D medical images in deep learning, following the design of PyTorch. It includes multiple intensity and spatial transforms for data augmentation and preprocessing. These transforms include typical computer vision operations such as random affine transformations and also domain-specific ones such as simulation of intensity artifacts due to MRI magnetic field inhomogeneity (bias) or k-space motion artifacts. TorchIO is a Python package containing a set of tools to efficiently read, preprocess, sample, augment, and write 3D medical images in deep learning applications written in PyTorch, including intensity and spatial transforms for data augmentation and preprocessing. ... -
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SleepFM-Clinical
Improve human sleep through scientifically
...The clinical release includes additional features for controlled experimentation, such as logging capabilities, adjustable parameter sets, and protocols suitable for sleep studies and therapeutic settings. It also integrates tools for clinicians to configure sessions, annotate events, and potentially link with biofeedback data, enabling a more nuanced understanding of sound’s effect on sleep architecture over time. -
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Conversational Health Agents (CHA)
A Personalized LLM-powered Agent Frameworks
CHA, or Conversational Health Agents, is an open-source framework designed to build intelligent healthcare assistants powered by large language models and external data sources. The system enables developers to create personalized AI agents that can interact with users through natural language while performing multi-step reasoning and task execution. It integrates orchestration capabilities that allow the agent to gather information from APIs, knowledge bases, and external services in order to generate more accurate and context-aware responses. ... -
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5
Open Wearables
Unified API for 200+ wearables. Self-hosted, no fees.
Open-source, self-hosted health intelligence platform that unifies data from 200+ wearables into a single API. Built to democratize access to wearable data infrastructure that's typically locked behind enterprise contracts - deploy with docker-compose, own your data, no per-user fees. -
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OpenCarenet CHE
Enabling community health workers to collect health data efficiently
OpenCarenet CHE is a robust and user-friendly application tailored for community health workers, facilitating seamless data collection, management, and reporting. With its mobile data collection capabilities, offline functionality, and interoperability with DHIS2, the app empowers health professionals to efficiently track patient information, aggregate primary data, and generate detailed health reports, even in areas with limited internet access. Its multilingual support and configurable language settings enhance communication and usage in diverse cultural contexts, while features such as local patient management, transparent reference and geolocation functionalities contribute to improved patient care and holistic community health management. -
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HealthFusion
AI Disease Detections System
HealthFusion has identified a critical business problem, which is the lack of accessibility and timely detection of multiple diseases. The traditional approach of detecting diseases is time-consuming, expensive, and not accessible to everyone, especially in remote areas. This problem can lead to delayed diagnosis and treatment, which can have serious consequences for patients. The proposed solution, HealthFusion, is novel and practical as it offers a comprehensive solution to detect... -
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OmicSelector
Feature selection and deep learning modeling for omic biomarker study
OmicSelector is an environment, Docker-based web application, and R package for biomarker signature selection (feature selection) from high-throughput experiments and others. It was initially developed for miRNA-seq (small RNA, smRNA-seq; hence the name was miRNAselector), RNA-seq and qPCR, but can be applied for every problem where numeric features should be selected to counteract overfitting of the models. Using our tool, you can choose features, like miRNAs, with the most significant... -
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corona
Reverse engineering SARS-CoV-2
...Python scripts download genomic sequences from GenBank and translate RNA into amino-acid chains. The project identifies and annotates proteins encoded by the genome. It also experiments with OpenMM for molecular simulation and protein-folding work. Supporting data, protein resources, vaccine-related material, research questions, and analysis notes make the repository a hands-on workspace for studying viral structure and genetics. -
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covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray
To build a public open dataset of chest X-ray and CT images of patients who are positive or suspected of COVID-19 or other viral and bacterial pneumonia (MERS, SARS, and ARDS.). Data will be collected from public sources as well as through indirect collection from hospitals and physicians. All images and data will be released publicly in this GitHub repo. This project is approved by the University of Montreal's Ethics Committee #CERSES-20-058-D. We can extract images from publications. Help identify publications that are not already included using a GitHub issue (DOIs we have are listed in the metadata file). ... -
11
ICDtools
Tools for ICD (International Classification of Diseases) data
Currently implemented: Python parser to import ICD10 XML data into a relational PostgreSQL database Sponsored by Ordium Biotechnology https://ordium.ai MIT License
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