Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

A key challenge arises from agricultural data itself. Crop environments are highly variable, influenced by local climate, ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

Hitchcock and Pande will advise on the continued development and scaling of insitro's AI-driven ChemML™ platform as it is deployed across insitro's pipeline and partner programs. Their guidance will ...

New approaches hurdle biological barriers to attack recalcitrant targets to tackle difficult-to-treat and recurrent cancers.

Sebastian Marquez ’16, MA ’19, Ph.D. ’20 honed research skills at the College of Engineering & Computing and cultivated ...

Researchers have used cryo-EM and computational tools to visualize ribozyme assembly, shedding light on life's most versatile ...

For Sebastian Marquez, biomedical engineering represents the perfect convergence of two worlds that he is passionate about: the innovation and ...

Molecular glues are revolutionizing cancer therapy by targeting undruggable proteins for degradation, enhancing precision ...

Across the United States, scientists are tracking a quiet reshuffling of wildlife as species show up in places where they ...

A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change drives more intense and unpredictable rainfall.

Fusion oncoproteins arise when a gene fuses with another gene and acquires new abilities. Such abilities can include the ...