State-of-the-art AI model accurately predicting unseen biological experiments X-Cell is trained on X-Atlas/Pisces, the largest and most context-diverse genome-wide perturbation dataset ever reported ...

Abstract: This study addresses the high-frequency limitations of conventional single-resonance models for induction magnetometers (IMs) with magnetic flux negative feedback. At frequencies beyond the ...

Scientists from the Massachusetts Institute of Technology (MIT) have developed the first publicly available model for predicting the long-term stability of a cell type commonly used in biotherapeutic ...

This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic information ...

Forbes contributors publish independent expert analyses and insights. Joshua Cohen is a Boston-based writer who covers health policy. The Centers for Medicare and Medicaid Services announced in July ...

The Centers for Medicare and Medicaid Services (CMS) has selected 35 participants for its new, voluntary Cell and Gene Therapy Access Model. Participants include the District of Columbia, Puerto Rico ...

Yusuf Roohani, PhD, machine learning group lead at the Arc Institute, is among a team of researchers training artificial intelligence (AI) models with transcriptome data to predict how cell gene ...

ABSTRACT: The origin of complex biological symmetric structures has long been a subject of interest and debate. How new sophisticated structures arise, perfectly meshed together, and added to ...