Researchers at the University of California, Santa Cruz have trained lab-grown brain organoids to solve a goal-directed task, ...

An international research team, with significant involvement from the Medical University of Vienna, has developed a new AI-based analysis method that can accurately classify brain tumors using genetic ...

By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they're far from simple answer-generators; they can also express abstract concepts, such as ...

With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...

Liquid biopsies, which test body fluids that contain cancerous material, including circulating tumor DNA (ctDNA), are a ...

QuantalX combined transcranial magnetic stimulation and EEG technology in its first-of-its-kind brain network function ...

California Lutheran University political science professor Jose Marichal discussed his new book, “You Must Become an Algorithmic Problem,” Thursday, Feb. 12, in Ullman 101. The book, Marichal’s second ...

No system — human or machine — will hit 70% against the spread over a meaningful sample size. Sports Insights ran the math ...

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...

Abstract: E-health sensors and wearables play an important role in the detection and classification of many chronic diseases. A chronic disease requires active monitoring and its severity increases ...

Cancer machine learning research is often limited by overparameterization and overfitting, which arise because cancer ‘omic’ variables significantly outnumber patient samples. Traditional feature ...