A computational biology company that started in space tech is looking to change how biopharma finds disease targets by ...

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel reinforcement learning–based generative model to predict neural signals, creating ...

Mark Burchnall, director of engineering at PSN Labs, will present "Optimizing Medical Device Development: Integrating Physical and Virtual Prototyping for Rapid Commercialization," at MD&M West 2025, ...

Researchers at Pompeu Fabra University (UPF) have made a great leap toward predicting the risk of hip fracture among people with osteoporosis and evaluating the effectiveness of specific drugs to ...

Researchers have discovered a new way to drive chemical reactions that could generate a wide variety of azetidines -- four-membered nitrogen heterocycles that have desirable pharmaceutical properties.

This work reviews CM-cfDNA methods applied to clinical oncology, emphasizing both machine learning (ML) techniques and mechanistic approaches. The latter integrate biological principles, enabling a ...

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have achieved a major breakthrough in computational neural engineering. They have developed a novel ...

Biomedical Artificial Intelligence and Computational Modeling are new emerging areas in biomedical engineering. These areas cover: Data analysis and interpretation: developing and applying algorithms ...

Signaling networks are composed of numerous signaling pathways and each has its own intricate component parts. Signaling outputs are dynamic, extraordinarily complex and yet highly specific. In ...

CAMBRIDGE, MA — Researchers from MIT and the University of Michigan have discovered a new way to drive chemical reactions that could generate a wide variety of compounds with desirable pharmaceutical ...