According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...

Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...

Artificial intelligence and machine learning play an increasingly important role. Algorithms trained on large datasets are ...

Artificial intelligence is rapidly becoming medicine’s most powerful microscope, revealing patterns in human DNA that were ...

A new research paper was published in Volume 17, Issue 11 of Aging-US on November 26, 2025, titled "Epigenetic aging ...

The "In Silico Clinical Trials Market - Global Forecast 2025-2032" report has been added to ResearchAndMarkets.com's offering. The in silico clinical trials market is undergoing rapid transformation, ...

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.

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...