Machine learning methods have emerged as promising tools to predict antimicrobial resistance (AMR) and uncover resistance determinants from genomic data. This study shows that sampling biases driven ...

Research-to-action programme SPARC has six years of experience carrying out research and collecting meaningful data in some ...

Machine learning methods have emerged as promising tools to predict antimicrobial resistance (AMR) and uncover resistance determinants from genomic ...

A research team led by Professor Jaesik Choi of KAIST's Kim Jaechul Graduate School of AI, in collaboration with KakaoBank ...

The original definition of the word “bias,” when it entered the English language in the 16th century, was a diagonal line, and specifically one that cut across the warp or weft of a woven fabric. It ...

The Ph.D. program at Gallaudet University prepares scholars and practitioners to lead in the design, development, and ...

Railway infrastructure could be made safer and more reliable using AI, artificial intelligence, according to research ...

Discover how in silico tools can be used can be used with organ-on-a-chip for the advancement of ADME studies.

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Recent trends in popular culture suggest that sexual behaviors involving physical force, such as choking or spanking, have ...

A research team has developed IPENS, an interactive and unsupervised 3D phenotyping tool that extracts grain-level point clouds without manual annotation, marking a major step forward in automated ...

One of the three primary annual conferences in ML and AI research, NeurIPS 2025 is taking place Dec. 2-7 at the San Diego Convention Center.