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

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

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.

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.

Comprehensively and confidently navigating Endometriosis and Adenomyosis and their comorbidities. #MaintainerMonth

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.

Django web app for sharing clinical data over a FHIR API

Multi-agentic biomedical literature research system with counterfactual analsyis and extensive citation system

DICOM database management for medical ML project based on web.

DeepMed Search is a deep research application for medical domain built with the Next.js App Router, featuring a unified interface for Web Search, LLM Introspection, PubMed, and Knowledge Base (KB) Search.

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

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

Client library for interacting with ARIA APIs for data deposition.

A comprehensive machine learning application that predicts breast cancer malignancy using cytology measurements. Features an interactive Streamlit web interface with real-time visualizations including radar charts for cell nuclei analysis. Implements logistic regression with data preprocessing pipelines for accurate benign/malignant classification.

Resource list for “better” and best-practices for data management in registry-based medical research

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

Project designed to extract and structure clinical trial data using PubMed APIs and OpenAI models. It allows users to search for trials based on keywords, fetch details, and process them into structured formats like CSV, enhancing extraction with OpenAI's models.

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