Theory, computation, and simulation are foundational to modern energy research. Theoretical understanding reveals why materials and systems behave as they do, predicting performance before experiments ...
The program will foster “collaboration among faculty from different disciplines,” according to Guarini dean Jon Kull ’88.
Researchers developed a computational “virtual twin” that uses patient-specific clinical data to predict how the cancer drug ...
This work reviews CM-cfDNA methods applied to clinical oncology, emphasizing both machine learning (ML) techniques and mechanistic approaches. The latter integrate biological principles, enabling a ...
The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...
USC's interdisciplinary Building a Brain club promotes mental health on campus, serves the community and does student-led ...
Morning Overview on MSN
OpenAI launches GPT-Rosalind, a biology-focused model for lab workflows
OpenAI has released GPT-Rosalind, a large language model fine-tuned specifically for life sciences research, marking the ...
Peer-reviewed study confirming strong predictive performance of patient-specific lung digital twins, validated against ...
How the brain loses consciousness under general anesthesia has long been a puzzle in neuroscience. Three of the most commonly used drugs—propofol, ketamine, and dexmedetomidine—act on entirely ...
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