Combining low-fidelity trend information with empirical data to train models can improve their accuracy and reduce costs.

Developing shared big data models benefits individual companies as well as the larger biopharmaceutical industry.

This year's award recognizes basic discoveries that have been impactful for chemists working in industrial and pharmaceutical manufacturing.

Metrics such as mean squared error and control-referenced Pearson correlation are frequently miscalibrated, according to the ...

Short-read RNA sequencing reporting the modifications that alter protein output is starting to make epitranscriptomics ...

The financing includes a Series A and up to $20 million in non-dilutive funding from the Government of Slovakia and the ...

University of Sydney researchers have developed a powerful way to test how closely lab-grown biological models resemble real human embryos, finding that while some models perform well, none yet fully ...

Researchers have uncovered how phage proteases activate CBASS antiphage immunity, revealing a novel bacterial virus-sensing mechanism.

Next stage will be development of clinical trials in patients with neurodegenerative conditions and those with TBI.

Four physician scientists and a molecular geneticist from HMS and the NIH were honored last week with the 2026 Warren Alpert ...

The ASP is part of a broader corporate strategy to move towards problem-solving partnerships in sectors such as life sciences ...

The Nobel Prize in Physiology or Medicine 2026 has been awarded to Deisseroth, Hegemann, and Nagel, for light-gated ion ...