Therapeutics Data Commons (Kexin Huang, Harvard)
BayLearn 2021: Poster A-12: Therapeutics Data Commons: ML Datasets & Tasks for Drug Discovery & Dev
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics
創薬で AI を始めるためのオープンソース イニシアチブ |各種スピーカー
Challenges of Therapeutics Machine Learning in the Wild - Kexin Huang
Data Commons and the European Health Data Space - Jan Zygmuntowski
dkNET Webinar: FAIR Data Curation of Antibody/B- & T-cell Receptor Seq. in AIRR Data Commons 012723
Graph Neural Networks for the Development of Therapeutics
AIRR-C Webinar: The AIRR Data Commons: 4 billion reasons to store, analyze, and share AIRR data
The NCI Cancer Research Data Commons - Anthony Kerlavage - BD2K Special - ISMB/ECCB 2017
Building the Cancer Research Data Commons with Neo4j: The Bento Framework
Infusing Structure and Knowledge into Biomedical AI - Marinka Zitnik - SCS - Keynote - ISMB 2022
Trusting Your Gut - Insights from World Leaders in Gastroenterology - Health Talks
How Is AI Improving Medication Discovery and Management? (Marinka Zitnik)
TrustML Seminar: Marinka Zitnik on "Graph Representation Learning for Biomedical Discovery"
CCMB Seminar 11/02/2022 - Marinka Zitnik, PhD
Data Licensing with Dr Matthew Todd - full version
Geometric Machine Learning for Molecular Medicine | Marinka Zitnik
MIA: Marinka Zitnik、創薬のための実用的な機械学習。ミシェル・リーによる入門書
XAI-Healthcare- Keynote: MARINKA ZITNIK