Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Segun Fatumo discusses how he is working towards a true global genomics framework and strengthening African research capacity ...

A new artificial intelligence framework developed at Cornell can accurately predict the performance of battery electrolytes ...

Youth with related behavior challenges may have trouble moving between different brain states, according to a new study from Yale Child Study Center. Their brains appear to get stuck in states with ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

"Medical Genomics" research group at ISTA "Data Science, Machine Learning, and Information Theory" research group at ISTA Al ...

Overview Math AI tools use advanced algorithms to instantly recognize equations, generate accurate solutions, and explain each step clearly for better understan ...

Historian Philip Decker, mathematician Victor Geadah, computer scientist Sayash Kapoor, and literary scholar Eliana Rozinov are this year’s Porter Ogden Jacobus Fellows.

When he was just a teenager trying to decide what to do with his life, César de la Fuente compiled a list of the world’s biggest problems. He ranked them inversely by how much money governments were ...

By Hugo Francisco de Souza A new study shows that gut microbiome signatures, analyzed through advanced machine learning, can help identify individuals with more severe insulin resistance, offering ...