Foundation models have delivered breakthroughs in fields such as protein structure prediction, but single-cell biology presents different challenges. This article explores why scale alone is not enough and what kinds of AI may better support drug discovery.
What if one of gene therapy’s biggest obstacles isn’t delivery, but the body’s own cells? Discover why DNA silencing is emerging as a major challenge for long-lasting genetic medicines.
Most inherited retinal diseases still have no approved therapy despite advances in gene therapy. This article explores why researchers are targeting shared disease mechanisms alongside individual mutations.
Antibody-drug conjugates (ADCs) present unique toxicology challenges. Learn which endpoints matter most, how they inform development decisions and why they are essential for building a robust nonclinical safety strategy.
Scientists have used artificial intelligence to design complete, functional bacteriophage genomes from scratch, with engineered phages capable of overcoming resistance in bacteria that had defeated naturally occurring viruses — marking a significant step towards AI-driven whole-genome engineering.
Researchers at University of Utah Health have used artificial intelligence and human genetic data to identify a promising early-stage drug candidate targeting WNK2, a protein linked to inherited osteoarthritis, with the lead compound reducing inflammatory gene activity and supporting cartilage cell health in laboratory models.
Researchers at Dana-Farber Cancer Institute have developed a scalable platform for discovering molecular glue degraders, reporting the first metabolically activated example and broadening the scope of targeted protein degradation in cancer.
The departure of leading AI researchers from Google to found Discovery Loop raises important questions about the future direction of artificial intelligence in scientific research and drug development.
One receptor can protect antibodies from degradation, extend their half-life and become a drug target itself. Explore the science behind FcRn and how researchers measure its function.
Static cultures can miss critical immune–tumour interactions. Learn how the Mera™ flow-based human tissue model better captures T-cell activity to strengthen preclinical immunotherapy research.
Non-animal methods are already used throughout early drug discovery, yet animal testing continues to dominate regulatory safety assessment. Recent initiatives suggest change is coming, but significant scientific and practical challenges remain.