AI-based pathology predicts origins for cancers of unknown primary - Nature
- histology
- pathology
- wsi-images
- histopathology
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AI-based pathology predicts origins for cancers of unknown primary - Nature
Open source tumor evidence matching for sequencing labs and hospitals without molecular tumor boards. Research prototype; oncologist review required.
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
A tool for cell instance aware segmentation in densely packed 3D volumetric images
Auto-QChem is an automated workflow for the generation and storage of DFT calculations for organic molecules.
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
TypeDB Bio: Biomedical Knowledge Graph
Autonomous multi-agent framework to optimize scientific software
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
MCP server for spatial transcriptomics analysis through natural language interfaces.
A cheminformatics extension for the SQLAlchemy database toolkit.
Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics