Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.

RETFound - A foundation model for retinal image

A curated list of foundation models, datasets, and tools for biosignals

NeurIPS'24 DB (Spotlight) | Instruction Tuning Large Language Models to Understand Electronic Health Records

Code for the paper "ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?"

Official implementation of "UniMedVL: Unifying Medical Multimodal Understanding and Generation through Observation-Knowledge-Analysis" - A unified medical vision-language model that integrates multimodal understanding and generation capabilities.

An Explainable Geometric-Weighted Graph Attention Network (xGW-GAT) for Identifying Functional Networks Associated with Gait Impairment

Demographic bias in misdiagnosis by computational pathology models - Nature Medicine

Reading list for multimodal learning in healthcare

JAMIA: A Novel Generative Multi-Task Representation Learning Approach for Predicting Postoperative Complications in Cardiac Surgery Patients

Quickstart to Bioinformatics & Biomedical AI.

This is the official repository for DiPro, highlighted as a Spotlight at NeurIPS 2025.

HDC-X: A Hyperdimensional Computing Framework for Efficient Classification on Low-Power Devices

Repository to explain the projects currently being developed at Foundation29.

A machine learning-powered web application that predicts the risk of heart disease and muscle weakness based on user input. Built with Flask, python, and deployed on Render.

[BioNLP ACL'24] Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation

🩻 Detect lung nodules in CT scans using YOLOv8 and AWS SageMaker for early lung cancer diagnosis and efficient model deployment.

AI assistant for frontline health workers to improve maternal care, nutrition, and scheme access.

This project leverages YOLOv8 and AWS SageMaker to detect lung nodules in CT scan images — an essential step toward early lung cancer diagnosis. The system automates CT image preprocessing, model training, and deployment on SageMaker endpoints using scalable cloud infrastructure.

Homepage of Truyen Tran