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UCLA scientists build ‘cell villages’ to map the genetics of brain cell fitness

UCLA Newsroom | Linda Wang

How readily a cell divides and how well it survives is fundamental to life, shaping everything from organ size to the body’s ability to withstand disease.

That combination, known as cell fitness, isn’t the same for everyone. Differences in genetics and environment can tip the scales toward developmental disorders, tissue degeneration and cancer. Pinning down those differences could help explain why some people are more vulnerable than others to a given disease or toxic exposure — and eventually guide more personalized treatment and prevention.

UCLA studies point to new way to fight potentially deadly Valley Fever

by Enrique Rivero | erivero@mednet.ucla.edu


Two new UCLA studies describe how immune modulation can effectively combat Valley Fever

Valley Fever, technically known as Coccidioidomycosis, is a dust-borne fungal infection that occurs in dry regions like the southwestern US and is proliferating in California and Arizona. California alone spends $1 billion a year on treatment.

New AI Tool for Eye Disease Detection Articles Feature Comp Med, CGSI Authors

A recently published paper, "A deep learning model for automated identification of age-related macular degeneration atrophy," showcases the incredible advancements that happen when great minds work together.
The paper is written by a large collaborative team, including many authors from the UCLA Computational Medicine Department.

UCLA’s Yuzhe Yang Recognized as Next-Generation Informatics Leader with Prestigious AMIA Award

Yuzhe Yang, an Assistant Professor of Computational Medicine and Computer Science at UCLA and director of the Health Intelligence Lab, has been awarded an Honorable Mention for the 2025 Edward H. Shortliffe Doctoral Dissertation Award by the American Medical Informatics Association (AMIA).

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