PAYONE Payment Extension for Magento 1
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Pandemic-Produce-Delivery-Projectby hanszhang00
JavaScript 
19 Version:Current License: Permissive (MIT)
An ongoing open-source e-commerce shop using React, Express, Firebase, and MongoDB. Designed for pandemic-relief and social good. New contributors are always, always, welcomed, regardless of where you are 🔥. Feel free to reach out at hanszhang2000@gmail.com~
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Hardware that analyzes the weak electromagnetic fields emited by living beings with the aim of early detection of health problems.
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Hierarchical HotNet is an algorithm for finding hierarchies of active subnetworks.
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Order and orientation of complete bacterial genomes
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:eyes: Tobii Eye Tracker 4C Setup
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programs and scripts, mainly python, for analyses related to nucleic or protein sequences
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A Simulator for Bacterial Machine learning and Genome-Wide Association Studies
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FHIRPath implementation in Python.
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Code for NeuroImage: Clinical paper "Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network."
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Stacked-LSTM-for-Covid-19-Outbreak-Predictionby aparajitad60
Python 18 Version:Current
License: No License (No License)
License: No License (No License)Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It was first identified in December 2019 in Wuhan, China, and has since spread globally, resulting in an ongoing pandemic. Long Short Term Memories(LSTMs) can solve numerous tasks not solvable by previous learning algorithms for recurrent neural networks (RNNs). LSTM is applicable to tasks such as unsegmented, connected handwriting recognition, speech recognition and anomaly detection in network traffic or IDS's (intrusion detection systems). LSTMs can also be efficiently applied for time-series predictions. In this project, its shows a four stacked LSTM network for early prediction new Coronavirus dissease infections in some of the mentioned affected countries (India, USA, Czech Republic and Russia) , which is based on real world data sets which are analyzed using various perspectives like day-wise number of confirmed cases, number of Cured cases, death cases. This attempt has been done to help the concerned authorities to get some early insights into the probable devastation likely to be effected by the deadly pandemic.
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JavaScript 18 Version:Current License: Permissive (Apache-2.0)
This repo demonstrates the use of collections to provide storage and retrieval of private data on the blockchain network for authorized peers of organizations. It shows how to use private data on the IBM Blockchain Platform.
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Built a simple web application using PHP and MySQL that allows a hospital to automate their daily tasks like online appointments, medical histories, patient details and doctor’s calendars.
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Open source interactive graphics for monitoring safety in clinical trial research.
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An app for emergency situation
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Author-Identification-taskby devanshdalal
Python 17 Version:Current License: No License (No License)
License: No License (No License)project implementation and codes for finding who wrote the given texts (using NLP)
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insilico Pathway Activation Network Decomposition Analysis (iPANDA) package. Owned by Insilico Medicine Inc. iPANDA is a pathway analysis method that aids interpretation of large-scale gene expression data. The method introduced here includes coexpression analysis and gene importance estimation to robustly identify relevant pathways and biomarkers for patient stratification.
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An algorithm for centromere assembly using long error-prone reads
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Python for Bioinformatics consist of a variety of python programmes,frequently used by bioinformaticians while handling biological data especially raw NGS data.
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Radiology information System, holds radiology specific text data. This system is use to Select a patient from the worklist that is automatically updated which appears on the modality monitor. Patient tracking and fetching previous patient images from PACS. RIS is also used for Creating radiologist reports, transcriptions, communicating with PACS to find images and film archiving. Each component talks to one another through Digital imaging and communication in medicine (DICOM) and Health Level-7 (HL7).
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Protein hint generation pipeline for gene finding in eukaryotic genomes
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Read DNA sequences from colourful Microsoft Word documents
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A Python package for gene-centric taxonomic and functional classification using phylogenetic placement
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Python 17 Version:Current License: Permissive (MIT)
Implementation of Deep Patient Representation of Clinical Notes at Intensive Care Unit for Multi-Task Prediction
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CellO: Gene expression-based hierarchical cell type classification using the Cell Ontology
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Medical images segmentation with 3D UNet GAN
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Reinforcement Learning based bioretrosynthesis tool
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Administration Plugin for SCP: Secret Lab
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Detect Depression from Social Network Using Deep learning
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A medical image converter
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scMatch: a single-cell gene expression profile annotation tool using reference datasets
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PyTorch implementation of PaccMann
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Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data
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ENCODE whole-genome bisulfite sequencing (WGBS) pipeline
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Breast-cancer-diagnosis-using-Machine-Learningby Piyush-Bhardwaj
Python 16 Version:Current License: No License (No License)
License: No License (No License)Machine learning is widely used in bioinformatics and particularly in breast cancer diagnosis. In this project, certain classification methods such as K-nearest neighbors (K-NN) and Support Vector Machine (SVM) which is a supervised learning method to detect breast cancer are used.
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drgpy is a Python library for assigning a combination of diagnosis and procedure codes to Diagnosis Related Groups (MS-DRG) that is used in Medicare inpatient reimbursement today.
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Open source engine for matching cancer patients to precision medicine clinical trials (V2).
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Pytorch-Unet3D-single_channelby davidiommi
Python 16 Version:Current License: No License (No License)
License: No License (No License)3D-Unet: patched based Pytorch implementation for medical images segmentation
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An Interactive Map of Biochemical Similarity in Molecular Datasets. The document: http://chemtreemap.readthedocs.org/en/latest/ . The project website:
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This simple and generic viewer allows you to visualize different kinds of data such as medical and biological images, 3D surfaces, electric signals (ECGs) and documents.
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A Manhattan plot in colorful virtual reality that adds frequency expression
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Medical image viewer based on DWV (DICOM Web Viewer) and jQuery UI.
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Healthcare is essential in daily life. Unfortunately, consultation with a doctor can be difficult to obtain, especially if we need advice on non-life threatening problems. The proposed idea is to create a system with Dialog Flow that can meet the patients requirements. Healthcare chatbot is built with medical applications having the potential to reduce healthcare cost and improves accessibility to medical knowledge by a simple chat through method. Chatbots are useful for patients and for those who want to learn more about health. The real benefit of the chatbot is to provide advice and information for an healthy life. A text-to-text diagnosis engages patients in conversation about their medical issues and provides a personalized diagnosis based on their symptoms and also sets appointment for the user. Hence, people will have an idea about their health and have the right protection and prevention.
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A package for designing activity-informed nucleic acid diagnostics for viruses.
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Web application for Diagnosis of Depression and Treatment of Depression using CBT therapy.
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Learning Deformable Registration of Medical Images with Anatomical Constraints
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Wessim: Whole Exome Sequencing SIMulator using in silico exome capture
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structure detection program
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magento-1by PAYONE-GmbH
PAYONE Payment Extension for Magento 1
PHP 19Updated: 4 y ago License: No License (No License)
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Pandemic-Produce-Delivery-Projectby hanszhang00
An ongoing open-source e-commerce shop using React, Express, Firebase, and MongoDB. Designed for pandemic-relief and social good. New contributors are always, always, welcomed, regardless of where you are 🔥. Feel free to reach out at hanszhang2000@gmail.com~
JavaScript 19Updated: 3 y ago License: Permissive (MIT)
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BioBalanceDetectorby andrasfuchs
Hardware that analyzes the weak electromagnetic fields emited by living beings with the aim of early detection of health problems.
C# 18Updated: 2 y ago License: Strong Copyleft (GPL-3.0)
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hierarchical-hotnetby raphael-group
Hierarchical HotNet is an algorithm for finding hierarchies of active subnetworks.
Python 18Updated: 4 y ago License: Proprietary (Proprietary)
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socruby quadram-institute-bioscience
Order and orientation of complete bacterial genomes
Python 18Updated: 2 y ago License: Strong Copyleft (GPL-3.0)
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eye-tracker-setupby mida-project
:eyes: Tobii Eye Tracker 4C Setup
Python 18Updated: 4 y ago License: Permissive (MIT)
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sequenceworkby fomightez
programs and scripts, mainly python, for analyses related to nucleic or protein sequences
Python 18Updated: 4 y ago License: No License (No License)
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BacGWASimby Morteza-M-Saber
A Simulator for Bacterial Machine learning and Genome-Wide Association Studies
Python 18Updated: 2 y ago License: Permissive (MIT)
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fhirpathby nazrulworld
FHIRPath implementation in Python.
Python 18Updated: 4 y ago License: Permissive (Apache-2.0)
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3dMRISegmentationby BMIRDS
Code for NeuroImage: Clinical paper "Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network."
Python 18Updated: 4 y ago License: Strong Copyleft (GPL-3.0)
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Stacked-LSTM-for-Covid-19-Outbreak-Predictionby aparajitad60
Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It was first identified in December 2019 in Wuhan, China, and has since spread globally, resulting in an ongoing pandemic. Long Short Term Memories(LSTMs) can solve numerous tasks not solvable by previous learning algorithms for recurrent neural networks (RNNs). LSTM is applicable to tasks such as unsegmented, connected handwriting recognition, speech recognition and anomaly detection in network traffic or IDS's (intrusion detection systems). LSTMs can also be efficiently applied for time-series predictions. In this project, its shows a four stacked LSTM network for early prediction new Coronavirus dissease infections in some of the mentioned affected countries (India, USA, Czech Republic and Russia) , which is based on real world data sets which are analyzed using various perspectives like day-wise number of confirmed cases, number of Cured cases, death cases. This attempt has been done to help the concerned authorities to get some early insights into the probable devastation likely to be effected by the deadly pandemic.
Python 18Updated: 4 y ago License: No License (No License)
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private-data-collections-on-fabricby IBM
This repo demonstrates the use of collections to provide storage and retrieval of private data on the blockchain network for authorized peers of organizations. It shows how to use private data on the IBM Blockchain Platform.
JavaScript 18Updated: 3 y ago License: Permissive (Apache-2.0)
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Hospital-Management-Systemby rishi772001
Built a simple web application using PHP and MySQL that allows a hospital to automate their daily tasks like online appointments, medical histories, patient details and doctor’s calendars.
PHP 18Updated: 2 y ago License: No License (No License)
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SafetyGraphics.github.ioby SafetyGraphics
Open source interactive graphics for monitoring safety in clinical trial research.
JavaScript 18Updated: 2 y ago License: Permissive (MIT)
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PanicTriggerby 0x5ECF4ULT
An app for emergency situation
Java 17Updated: 4 y ago License: Strong Copyleft (GPL-3.0)
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Author-Identification-taskby devanshdalal
project implementation and codes for finding who wrote the given texts (using NLP)
Python 17Updated: 4 y ago License: No License (No License)
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ipandaby varnivey
insilico Pathway Activation Network Decomposition Analysis (iPANDA) package. Owned by Insilico Medicine Inc. iPANDA is a pathway analysis method that aids interpretation of large-scale gene expression data. The method introduced here includes coexpression analysis and gene importance estimation to robustly identify relevant pathways and biomarkers for patient stratification.
Python 17Updated: 4 y ago License: Proprietary (Proprietary)
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centroFlyeby seryrzu
An algorithm for centromere assembly using long error-prone reads
Python 17Updated: 4 y ago License: Permissive (BSD-3-Clause)
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Python-for-Bioinformaticsby Ashish438
Python for Bioinformatics consist of a variety of python programmes,frequently used by bioinformaticians while handling biological data especially raw NGS data.
Python 17Updated: 4 y ago License: No License (No License)
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RadiologyInformationSystemby AlecCromer
Radiology information System, holds radiology specific text data. This system is use to Select a patient from the worklist that is automatically updated which appears on the modality monitor. Patient tracking and fetching previous patient images from PACS. RIS is also used for Creating radiologist reports, transcriptions, communicating with PACS to find images and film archiving. Each component talks to one another through Digital imaging and communication in medicine (DICOM) and Health Level-7 (HL7).
Java 17Updated: 4 y ago License: Strong Copyleft (GPL-3.0)
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ProtHintby gatech-genemark
Protein hint generation pipeline for gene finding in eukaryotic genomes
Python 17Updated: 4 y ago License: Proprietary (Proprietary)
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crazydocby Edinburgh-Genome-Foundry
Read DNA sequences from colourful Microsoft Word documents
Python 17Updated: 4 y ago License: Permissive (MIT)
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TreeSAPPby hallamlab
A Python package for gene-centric taxonomic and functional classification using phylogenetic placement
Python 17Updated: 3 y ago License: Strong Copyleft (GPL-3.0)
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deep-patient-representation-mimiciii-multitaskby Yuqi92
Implementation of Deep Patient Representation of Clinical Notes at Intensive Care Unit for Multi-Task Prediction
Python 17Updated: 4 y ago License: Permissive (MIT)
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CellOby deweylab
CellO: Gene expression-based hierarchical cell type classification using the Cell Ontology
Python 17Updated: 4 y ago License: No License (No License)
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3DUnetby HandsomeBrotherShuaiLi
Medical images segmentation with 3D UNet GAN
Python 17Updated: 4 y ago License: No License (No License)
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RetroPathRLby brsynth
Reinforcement Learning based bioretrosynthesis tool
Python 17Updated: 4 y ago License: Permissive (MIT)
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GeneTEFlowby zhongw2
Python 17Updated: 2 y ago License: No License (No License)
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AdminToolboxby Rnen
Administration Plugin for SCP: Secret Lab
C# 17Updated: 3 y ago License: Proprietary (Proprietary)
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depression_detectionby isrugeek
Detect Depression from Social Network Using Deep learning
Python 16Updated: 4 y ago License: No License (No License)
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dicomifierby lamyj
A medical image converter
Python 16Updated: 4 y ago License: Proprietary (Proprietary)
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scMatchby asrhou
scMatch: a single-cell gene expression profile annotation tool using reference datasets
Python 16Updated: 4 y ago License: Permissive (MIT)
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paccmann_predictorby PaccMann
PyTorch implementation of PaccMann
Python 16Updated: 4 y ago License: Permissive (MIT)
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BioDiscMLby mickaelleclercq
Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data
Java 16Updated: 4 y ago License: Strong Copyleft (GPL-3.0)
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wgbs-pipelineby ENCODE-DCC
ENCODE whole-genome bisulfite sequencing (WGBS) pipeline
Python 16Updated: 2 y ago License: Permissive (MIT)
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Breast-cancer-diagnosis-using-Machine-Learningby Piyush-Bhardwaj
Machine learning is widely used in bioinformatics and particularly in breast cancer diagnosis. In this project, certain classification methods such as K-nearest neighbors (K-NN) and Support Vector Machine (SVM) which is a supervised learning method to detect breast cancer are used.
Python 16Updated: 4 y ago License: No License (No License)
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drgpyby yubin-park
drgpy is a Python library for assigning a combination of diagnosis and procedure codes to Diagnosis Related Groups (MS-DRG) that is used in Medicare inpatient reimbursement today.
Python 16Updated: 4 y ago License: Permissive (Apache-2.0)
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matchengine-V2by dfci
Open source engine for matching cancer patients to precision medicine clinical trials (V2).
Python 16Updated: 4 y ago License: Permissive (Apache-2.0)
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Pytorch-Unet3D-single_channelby davidiommi
3D-Unet: patched based Pytorch implementation for medical images segmentation
Python 16Updated: 4 y ago License: No License (No License)
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ChemTreeMapby ajing
An Interactive Map of Biochemical Similarity in Molecular Datasets. The document: http://chemtreemap.readthedocs.org/en/latest/ . The project website:
JavaScript 16Updated: 4 y ago License: Permissive (Apache-2.0)
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rocket_viewerby bcnmedtech
This simple and generic viewer allows you to visualize different kinds of data such as medical and biological images, 3D surfaces, electric signals (ECGs) and documents.
JavaScript 16Updated: 4 y ago License: No License (No License)
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bigtopby dnanexus
A Manhattan plot in colorful virtual reality that adds frequency expression
JavaScript 16Updated: 4 y ago License: Permissive (MIT)
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dwv-jquiby ivmartel
Medical image viewer based on DWV (DICOM Web Viewer) and jQuery UI.
JavaScript 16Updated: 2 y ago License: Strong Copyleft (GPL-3.0)
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homebridge-awair-localby deanlyoung
JavaScript 16Updated: 3 y ago License: Permissive (MIT)
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Healthcare-Chatbotby OmRajpurkar
Healthcare is essential in daily life. Unfortunately, consultation with a doctor can be difficult to obtain, especially if we need advice on non-life threatening problems. The proposed idea is to create a system with Dialog Flow that can meet the patients requirements. Healthcare chatbot is built with medical applications having the potential to reduce healthcare cost and improves accessibility to medical knowledge by a simple chat through method. Chatbots are useful for patients and for those who want to learn more about health. The real benefit of the chatbot is to provide advice and information for an healthy life. A text-to-text diagnosis engages patients in conversation about their medical issues and provides a personalized diagnosis based on their symptoms and also sets appointment for the user. Hence, people will have an idea about their health and have the right protection and prevention.
PHP 16Updated: 4 y ago License: No License (No License)
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adaptby broadinstitute
A package for designing activity-informed nucleic acid diagnostics for viruses.
Python 16Updated: 2 y ago License: Permissive (MIT)
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CBT-therapyby tulikavijay
Web application for Diagnosis of Depression and Treatment of Depression using CBT therapy.
JavaScript 16Updated: 4 y ago License: No License (No License)
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ACRN_Chest_X-ray_IAby lucasmansilla
Learning Deformable Registration of Medical Images with Anatomical Constraints
Python 16Updated: 3 y ago License: Permissive (MIT)
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Wessimby sak042
Wessim: Whole Exome Sequencing SIMulator using in silico exome capture
Python 15Updated: 4 y ago License: No License (No License)
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GenomonSVby Genomon-Project
structure detection program
Python 15Updated: 4 y ago License: Strong Copyleft (GPL-3.0)
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