More information: Nobuya Sato et al, Target Material Property‐Dependent Cluster Analysis of Inorganic Compounds, Advanced Intelligent Systems (2024). DOI: 10.1002/aisy.202400253 ...

More information: Kibeom Kim et al, Therapeutic gene target prediction using novel deep hypergraph representation learning, Briefings in Bioinformatics (2025). DOI: 10.1093/bib/bbaf019 ...

Machine learning hunt finds hundreds of new cancer targets, many with biomarkers to boot By Helen Floersh Jan 16, 2024 3:00am drug discovery machine learning Artificial Intelligence Sanger Institute ...

Overall, the TARGET findings indicate “an on-site machine-learning based CT-FFR strategy is feasible, safe, and effective,” said Yundai Chen, MD (Chinese PLA General Hospital, Beijing), who presented ...

More information: Donghyo Kim et al, An evolution-based machine learning to identify cancer type-specific driver mutations, Briefings in Bioinformatics (2022). DOI: 10.1093/bib/bbac593 ...

Novel machine learning-based cluster analysis method that leverages target material property New cluster analysis technique for grouping materials based on both basic features and targeted ...