Search Results for "disease"
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Showing 143 open source projects for "disease"
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BOINC
Open-source software for volunteer computing and grid computing
BOINC (Berkeley Open Infrastructure for Network Computing) is an open-source platform that enables distributed computing using volunteered computer resources. It allows researchers to harness massive amounts of processing power from public participants for scientific projects such as climate research, disease modeling, and astrophysics. BOINC supports cross-platform deployment and is backed by a large, active community. -
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clusterProfiler
A universal enrichment tool for interpreting omics data
...It supports both over-representation analysis and gene set enrichment analysis, letting you work with unranked gene lists or ranked statistics from differential pipelines. The package connects to multiple knowledge bases—such as Gene Ontology, KEGG, Reactome, Disease Ontology, MeSH and others—through a consistent interface so you can query different biological lenses without rewriting code. It is designed for breadth, covering coding and non-coding features and thousands of organisms by leveraging continuously updated annotations. Results are returned in tidy, manipulation-friendly structures and pair naturally with rich visualization functions (via companion tooling) to summarize pathways, terms, and gene–set relationships. -
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Ct.js
Ct.js is a desktop game engine that makes learning programming fun
...Modules add new powers, and when ct.js is not enough, you can add any JS code or library. A small stylized adventure with AI-powered sea battles, violent environment, and little puzzle sections. Join the voyage to save a colony from a deadly disease! -
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Synthea Patient Generator
Synthetic Patient Population Simulator
SyntheaTM is an open-source, synthetic patient generator that models the medical history of synthetic patients. Our mission is to provide high-quality, synthetic, realistic but not real, patient data and associated health records covering every aspect of healthcare. The resulting data is free from cost, privacy, and security restrictions, enabling research with Health IT data that is otherwise legally or practically unavailable. The models used to generate synthetic patients are informed by... -
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FSGSproteomics
Protepmics of Kidney biopsy tissues
...Objective: To investigate factors associated with the pathogenesis of FSGS and explore potential therapeutic targets. Methods: A total of 73 kidney biopsy tissues were analyzed by LC-MS/MS: FSGS (n=23), renal donors (n=14) as a healthy control group, and minimal change disease (n=15) and IgA nephropathy (n=21) as disease control groups. We validated the proteome data with immunohistochemistry and the Nephroseq microarray data. Results: Our proteomics platform identified a total of 4,168 proteins. A comparison between the FSGS with renal donor groups revealed 175 proteins increased -
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OptiMIClass
Automatic n-dimensional data clustering tool powered by five advanced
...The software was a direct outcome of “Combinatorial optimization heuristics for data classification” (Code: 5402-1440-3901), and its development continued within the related project “Disease propagation: heuristics applied to optimizing control measures” (Code: 540114404201). -
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illness index
illness_index A Computer Program of a Medical Textbook.
...The program also calculates a list of likely diseases, which the user can use the web to find out more about. The program has about 600 diseases and 1000 findings. Brought to you by Kit Free Software 2024 Ltd. Keywords - disease, health, healthcare, illnesses, illnessindex, illness_index. -
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PDPBioGen
Multi-Scale Quantum Biological Integration Framework for Tissue Regene
PDPBioGen: (Pathway-Disease-Phenotype Biogen) Multi-Scale Quantum Biological Integration Framework for Tissue Regeneration Research Research Framework Data-Simulation Validation-Pending 🔬 Scientific Overview PDPBioGen is an experimental computational framework that explores the intersection of quantum physical principles with multi-scale biological modeling. -
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Parallel and Distributed Process System
OmniSim simulates parallel and distributed processing systems
Parallel and Distributed Process OmniSim Computational Neuroscience: Large-scale neural population dynamics, brain-inspired computing architectures, and neuro-symbolic AI systems 🧬 Scientific Overview PDP-OmniSim is an advanced computational framework for simulating parallel and distributed processing systems, with cutting-edge applications in computational neuroscience, distributed computing, and complex systems modeling. The framework provides researchers with robust tools for... -
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PANDORA
Revolutionizing Biomedical Research with Advanced Machine Learning
PANDORA is a machine learning (ML) tool that can be used to integrate various data types, including clinical, transcriptome and microbiome data and find connections in large datasets. PANDORA can be easily installed using Docker, a pre-built version of the software can be pulled from DockerHub. In order to run a test instance of PANDORA, users will first need to prepare their local environment by downloading, installing, and configuring Docker. genular is a community behind SIMON an... -
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scArches
Reference mapping for single-cell genomics
Single-cell architecture surgery (scArches) is a package for reference-based analysis of single-cell data. scArches allows your single-cell query data to be analyzed by integrating it into a reference atlas. By mapping your data into an integrated reference you can transfer cell-type annotation from reference to query, identify disease states by mapping to healthy atlas, and advanced applications such as imputing missing data modalities or spatial locations. -
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covid19
Tokyo COVID-19 Task Force website
New coronavirus infectious disease control site. In Tokyo, in order to centrally announce the infection status in Tokyo, we received reports of outbreaks not only in the jurisdiction of the Tokyo Health Center but also in the cities with health centers (Machida City, Hachioji City) and 23 wards, and aggregated these. In Tokyo, we have set seven monitoring items for the new coronavirus infection, with the two pillars of "infection status" and "medical care provision system" in Tokyo. ... -
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coronavirus
The coronavirus dataset
...The raw data is pulled and arranged by the Johns Hopkins University Center for Systems Science and Engineering, which is gathered from various leading sources including the World Health Organization, China CDC, US CDC, European Centre for Disease Prevention and Control, and Australia Government Department of Health. -
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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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...In addition to an analysis of physical behavior, the app also allows to implement the Daily- and Clinical visit-PROactive Physical Activity in COPD (chronic obstructive pulmonary disease) instruments (D-PPAC and C-PPAC). Please read the user’s guide for details about how the app works.
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corona-cli
Track the Coronavirus disease (COVID-19) in the command line
Track the Coronavirus disease (COVID-19) in the command line. Worldwide for all countries, for one country, and the US States. Fast response time (< 100ms).Get worldwide Coronavirus disease (COVID-19) reporting. Active daily reporting of your country's COVID-19 statistics. Get US States data for Coronavirus disease reports across the US. Data includes country, cases, deaths, recovered, active, critical, per million. -
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stiletto
Stiletto: A computational model of the cerebral perforating arteries
Our project aims to develop a computational model of the cerebral perforating arteries, the structure, hemodynamics and vascular flow reactivity, autoregulation and their relation with the neurovascular unit (NVU) in health and disease. The project will provide a framework to simulate scenarios to try to better understand complex phenomena such as aging, the exposome and genetics involved in brain homeostasis and dysfunction. The stiletto project is brought by GNU Solidario. -
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DiseaseExpert
Expertsystem for Disease Diagnostic
Expertsystem for Disease Diagnostic (experimental). -
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KidneyExplorer
Kidney proteomics data explorer enables you to investigate diseases
KidneyExplorer enables you to interactively survey kidney proteomics datasets from different kidney disease models. Here you can download the corresponding SQL database dumps. The original website for the shiny app is: https://kidneyapp.shinyapps.io/kidneyorganoids/ -
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MitoSAlt
Identification of mitochondrial structural alterations
MitoSAlt is a pipeline to identify large deletions and duplications in human and mouse mitochondrial genomes from next generation whole genome/exome sequencing data. The pipeline is capable of analyzing any circular genome in principle, as long as a proper configuration file is provided. -
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MToolBox
A bioinformatics pipeline to analyze mtDNA from NGS data
...MToolBox includes an updated computational strategy to assemble mitochondrial genomes from Whole Exome and/or Genome Sequencing (PMID: 22669646) and an improved fragment-classify tool (PMID:22139932) for haplogroup assignment, functional and prioritization analysis of mitochondrial variants. MToolBox provides pathogenicity scores, profiles of genome variability and disease-associations for mitochondrial variants. MToolBox provides also a Variant Call Format file (version 4.0) featuring, for the first time, allele-specific heteroplasmy. Please, check out the most recent updates of the source code with the Github repository of MToolBox: https://github.com/mitoNGS/MToolBox or visit the Web version of MToolBox @ MSeqDR: https://mseqdr.org/mtoolbox.php -
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ICD 10 Disease Viewer
Simplifies viewing of ICD 10 codes and descriptions by medical workers
Helps medical personnel search and become familiar with ICD 10 disease codes and descriptions -
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Clinic System Management
Clinic System Management
Clinic System Management. Record patient data (name, address, contact number, age, sex, blood group, a major disease suffered, patient id, always saving the date of day patient come to the clinic several times, diagnosis, presentation, symptom, medicine, presentation, past present, family history) and save all data in the file of a patient with his file name. print all date of the patient at the second visit to show that for the doctor. -
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CovidTrack
An experimental disease disaster management system (DDMS)
CovidTrack is an experimental project to create a National Disease Disaster Management Systems (DDMS) with broad-based capabilities for rapid response on - prediction, triage, containment & planning. A pilot version of the product is hosted at: https://www.covidtrack.me
