A new machine learning tool called PhysMAP separates the electrical signatures of different cell types, offering a new way to study schizophrenia and depression.

Boston University researchers developed PhysMAP, an AI tool that identifies brain cell types from neural recordings. It ...

Target identification is the first and perhaps most critical step in drug discovery and development. Although the human genome contains roughly 20,000 protein-coding genes, only about 4,500 are ...

The Conversation is an independent and nonprofit source of news, analysis and commentary from academic experts. By Angelica P ...

Proteomics is emerging as a promising approach for identifying autism biomarkers by detecting protein-level changes linked to ...

Mars is the most studied planet in our solar system and for good reasons. Contrary to Mercury or Venus, it could be potentially habitable with the right technology, having an atmosphere and a ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Artificial intelligence is stepping into the stables, offering horse breeders smarter ways to predict performance, assess genetics, and improve animal welfare. From machine learning pedigree analysis ...

Generative AI is best known for creating images and text. Now, it is helping industries make better planning decisions.