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 ...

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 ...

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 ...

ABSTRACT: This paper presents a comprehensive machine learning approach for credit score classification, addressing key challenges in financial risk assessment. We propose an optimized CatBoost-based ...

1 School of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai, China 2 Henan Center for Drug Evaluation and Inspection, Zhengzhou, Henan, China This study ...