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Broad Institute of MIT and Harvard
- Boston, Heidelberg
- @AlexJHaas
Highlights
- Pro
Stars
Services and guidelines for normalizing disease terms
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
Blazing 💥 fast terminal-ui for git written in rust 🦀
Transcriptomics-guided Slide Representation Learning in Computational Pathology - CVPR 2024
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
Single-cell analysis in Python. Scales to >1M cells.
An extremely fast Python linter and code formatter, written in Rust.
Fish-like autosuggestions for zsh
💊🧬 PharMe - Pharmaceutical insights tailored to your personal genome
Towards a general-purpose foundation model for computational pathology - Nature Medicine
PyTorch code and models for V-JEPA self-supervised learning from video.
Program for the analysis and visualization of whole-slide images in digital pathology
Lazily load multiscale whole-slide images with openslide and dask
Ontology for Precision Oncology Workflows at the National Center of Tumor Diseases Heidelberg
QuPath extension for Segment Anything Model (SAM)