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

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

A hybrid digital twin that combines mechanistic modeling with artificial intelligence could enable autonomous biomanufacturing.

Cell electrical signatures offer faster, label-free monitoring to improve bioprocess control and biologics manufacturing ...

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

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

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

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

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

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 ...

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