Researchers from Radical AI have published a paper describing TorchSim, a next-generation open-source atomistic simulation ...

Harvard and Northwestern researchers combine AI and physics to design unstable proteins that comprise the dark proteome.

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

A NIMS research team has developed an automated high-throughput system capable of generating datasets from a single sample of ...

With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...

Terray Therapeutics, an AI-native, chemistry-first, biotech today announced its AI and experimental platform, EMMI, and the introduction of advanced Select models that choose the most impactful ...

To prevent data imbalance, a common problem in environmental modeling where non-flooded areas vastly outnumber flooded points ...

Critical concerns regarding the security and privacy of information transmitted within Internet of Medical Things systems have increased greatly ...

Mangrove ecosystems rank among the most efficient "blue carbon" systems on Earth, capable of absorbing and storing vast ...

Tanuj Mathur is a technology researcher and practitioner with extensive experience in distributed computing, cybersecurity, ...

The researchers discovered that this separation proves remarkably clean. In a preprint paper released in late October, they ...