3 Questions: On biology and medicine’s “data revolution”
Professor Caroline Uhler discusses her work at the Schmidt Center, thorny problems in math, and the ongoing quest to understand some of the most complex interactions in biology.
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Professor Caroline Uhler discusses her work at the Schmidt Center, thorny problems in math, and the ongoing quest to understand some of the most complex interactions in biology.
A new approach for testing multiple treatment combinations at once could help scientists develop drugs for cancer or genetic disorders.
CellLENS reveals hidden patterns in cell behavior within tissues, offering deeper insights into cell heterogeneity — vital for advancing cancer immunotherapy.
Researchers redesign a compact RNA-guided enzyme from bacteria, making it an efficient editor of human DNA.
Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.
The programmable proteins are compact, modular, and can be directed to modify DNA in human cells.
By sidestepping the need for costly interventions, a new method could potentially reveal gene regulatory programs, paving the way for targeted treatments.
“ScribblePrompt” is an interactive AI framework that can efficiently highlight anatomical structures across different medical scans, assisting medical workers to delineate regions of interest and abnormalities.
The model could help clinicians assess breast cancer stage and ultimately help in reducing overtreatment.
Fifteen new faculty members join six of the school’s academic departments.