Biomni: a general-purpose biomedical AI agent

Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining

A full spaCy pipeline and models for scientific/biomedical documents.

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

[CBLUE1] 中文医疗信息处理基准CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

BiomedParse: A Foundation Model for Joint Segmentation, Detection, and Recognition of Biomedical Objects Across Nine Modalities

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

Clinical Knowledge Graph (CKG) is a platform with twofold objective: 1) build a graph database with experimental data and data imported from diverse biomedical databases 2) automate knowledge discovery making use of all the information contained in the graph

iBKH: The integrative Biomedical Knowledge Hub

Tools for curating biomedical training data for large-scale language modeling

MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

BioMCP: Biomedical Model Context Protocol

U-Net: Convolutional Networks for Biomedical Image Segmentation

Towards Generalist Biomedical AI

🧫 A curated list of resources relevant to doing Biomedical Information Extraction (including BioNLP)

An open source platform for managing and analyzing biomedical big data

PubMedQA: A Dataset for Biomedical Research Question Answering

Visual Med-Alpaca is an open-source, multi-modal foundation model designed specifically for the biomedical domain, built on the LLaMa-7B.

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

For scientific volumetric data visualization in Blender.

A corpus of Biomedical papers annotated with mentions of UMLS entities.

U-Net Biomedical Image Segmentation

My personal website & professional portfolio on GitHub Pages. Showcases resume, peer-reviewed publications (IEEE AIAM 2025 & IJHSR), dual USACO 2025 perfect scores (Gold & Silver), national AMC achievements, ethical AI leadership, and biomedical research — built as a 10th grader with 1570 SAT & Stanford mentorship.

[IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (code&data)

A unifying framework for biomedical research knowledge graphs

[ICLR 2024] Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach