Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
Artificial intelligence is rapidly becoming medicine’s most powerful microscope, revealing patterns in human DNA that were ...
Mount Sinai scientists developed V2P, a powerful new AI tool that predicts how specific DNA mutations translate into disease, unlocking faster diagnoses and new targets for therapy.
A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
In a new study published in Nature titled, “Custom CRISPR-Cas9 PAM variants via scalable engineering and machine learning,” researchers from Massachusetts General Hospital (MGH) and Harvard Medical ...
University of Toronto researchers have developed a new computational method to study how chromosomes within human cells are organized. The method could help advance precision medicine by shedding ...
By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...
Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples and ...