A curated dataset of Indian medicines, organized by brand. Essential for healthcare research and pharmaceutical analysis.
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Updated
Dec 11, 2024
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 matching. Uses GPT-4.1-mini for eligibility scoring, Perplexity AI for evidence lookup, and suitability-based ranking. Try it at clintrialfinder.info
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
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.
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.
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.
Multi-agentic biomedical literature research system with counterfactual analsyis and extensive citation system
Django web app for sharing clinical data over a FHIR API
DICOM database management for medical ML project based on web.
Training Manual for RAISE: REDCap and R Integration for Scientific Excellence
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
Peridot v1.2.1 [Beta] | Sovereign AI Kernel. Engineered by uncoalesced. A fully offline, GPU accelerated operating framework powered by Llama-3. Features dynamic 21ms WebSocket VRAM scheduling, Voice Synthesis and idle protein folding. Zero data exfiltration. Absolute hardware control.
🔬 Professional MCP server for biomedical literature research — 40 tools, multi-source search (PubMed, Europe PMC, CORE, OpenAlex), full-text access, citation networks, PICO analysis, and more
Client library for interacting with ARIA APIs for data deposition.
Resource list for “better” and best-practices for data management in registry-based medical research
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.
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