Precision bacteriophages reduced gut inflammation by blocking harmful bacterial activity, while boosting the effects of a ...

Many cancer-associated mutational signatures remain unexplained. Team CAUSE aims to connect DNA damage, mutational patterns, ...

A streamlined gene editing platform enables tissue-wide CRISPR screening in human organoids, identifying genes that regulate ...

Researchers tested KCL-286 in Alzheimer’s models, finding it reduced DNA damage and inflammation. The drug targets retinoic ...

Using a genome-wide CRISPR screen and AI analysis, researchers uncovered unexpected psoriasis drug targets, including the ...

This listicle examines the technical foundations, readiness levels, and performance trade-offs shaping the future battery ...

ASCO 2026 highlighted a shift toward precision-driven oncology R&D, where biomarkers, ctDNA, and integrated strategies guide ...

An AI approach has been developed that accurately predicts how quickly drug-delivery materials release therapies, potentially ...

A mathematical model showed that chemotaxis drives hair follicle formation in different mammals, suggesting that simple cell ...

As cell therapies scale, developers face a choice: redesign processes for all-in-one systems or manage complex bespoke ...

Artificial intelligence (AI) in research histopathology is turning whole-slide images of preclinical tissue into structured, quantitative data rather than a pathologist's subjective impression alone.

Researchers are developing a pipeline of preclinical models for epidermolysis bullosa, which could be used by academics and ...