A Quantum Computing and Machine Learning Model that accelerates the Drug Research and Development process

A curated dataset of Indian medicines, organized by brand. Essential for healthcare research and pharmaceutical analysis.

A repository containing deep learning models and evaluation methods for enhancing medical image segmentation in Computed Tomography (CT) scans, with a focus on U-Net variants, nnUNet, and Swin-UNet architectures.

Comprehensively and confidently navigating Endometriosis and Adenomyosis and their comorbidities - Site in Progress!

MCP server providing healthcare analytics capabilities for Smartsheet, including clinical note summarization, patient feedback analysis, and research impact assessment

Welcome to the GitHub repo for "HMS - EEG Exploration & Neurocritical Care Journey"! Explore EEG data, understand wave patterns, and delve into conditions like LPDs, GPDs, LRDA, and GRDA.

ClinTrialFinder - AI-powered clinical trial discovery and ranking tool Find the most relevant clinical trials with GPT-4.1-mini filtering, Perplexity AI evidence analysis, and AI-powered ranking. Try via email: ai@mail.clintrialfinder.info - send clinical summary for trial matching. Perfect for researchers and medical professionals.

DICOM database management for medical ML project based on web.

Django web app for sharing clinical data over a FHIR API

Training Manual for RAISE: REDCap and R Integration for Scientific Excellence

Client library for interacting with ARIA APIs for data deposition.

It is an automated system that summarizes medical research papers into concise, informative videos. The system fetches papers from PubMed, processes them, and creates professional videos with narration that are automatically uploaded to YouTube

A curated clinical dataset detailing the clinical journeys of visceral surgical patients, aimed at enhancing research and patient outcomes.

A sovereign, decentralized healthcare infrastructure enabling direct patient-clinician care with privacy-preserving tech—low cost, scalable, and built as a public good.

Heart Hybrid Classifier is a machine learning project focused on cardiovascular risk prediction. The goal is to evaluate accuracy and interpretability of the models in a clinical setting.

GPT2-774M model, fine-tuned on all public information and papers (up to 2021) related to Chronic Fatigue Syndrome/Myalgic Encephalomyelitis

Extract Medical Expenditure Panel Survey's Household Consolidated Data Files using Stata

Early Detection of Diabetic Kidney Disease using Contrast Enhanced Ultrasound Perfusion Parameters. Explore perfusion models (Lagged Normal, Log-Normal, Gamma Variate), compare their effectiveness, and analyze their application to diabetic and control cases.

An interactive analysis of clinical trial data using Apache Spark on Databricks. This project explore trends and insights through interactive visualizations.