Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...

Researchers from The Ohio State University and the Indian Institute of Technology Madras have developed an artificial intelligence framework to rapidly generate drug-like molecules that are easier to ...

Amgen Inc. ( AMGN) Q4 2025 Earnings Call February 3, 2026 4:30 PM EST ...

On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...

Can AI image models preserve identity across edits, follow complex instructions, and combine existing assets without visual collapse?

This publication adds to a growing body of external evidence validating the technical rigor, performance, and real-world relevance of BostonGene's AI-driven approach. By evaluating algorithmic and ...

Complex human diseases—such as cancer, neurodegenerative disorders, autoimmune conditions, cardiometabolic disease, and chronic inflammatory syndromes—arise ...

Gas vesicles are among the largest known protein nanostructures produced and assembled inside microbial cells. These hollow, air-filled cylindrical nanostructures found in certain aquatic microbes ...

Medical artificial intelligence is a hugely appealing concept. In theory, models can analyze vast amounts of information, recognize subtle patterns in data, and are never too tired or busy to provide ...

More than 100 million people in the United States suffer from metabolic dysfunction-associated steatotic liver disease (MASLD ...

San Francisco-based AI lab Arcee made waves last year for being one of the only U.S. companies to train large language models (LLMs) from scratch and release them under open or partially open source ...

Chromosomes are masters of organization. These long strings of DNA fold down into an ensemble of compact structures that keep needed parts of the genome accessible while tucking away those that aren't ...