If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

A Marshall University – University of Missouri team has reported a web-based deep-learning platform that combines six common ...

Bioinformatics is rapidly changing the course of human health and history. Scientists and researchers use data like never before to save countless lives each day. Bioinformatics fuels new discoveries ...

The DMTA cycle depends on clear data flow, yet most labs still work across disconnected systems. Sean McGee, Director of ...

A research team demonstrates that hyperspectral sensing, combined with advanced artificial intelligence, can accurately estimate multiple biochemical and mineral traits in grapevine leaves at once.

A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Manufacturing and mobility continue to be core employment generators, supported by PLI-led investments and energy-transition ...

The pharmacogenomics landscape is evolving from a niche scientific pursuit to a cornerstone of value-based healthcare,” said ...

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