UF biostatistics team develops tool to help scientists understand disease at the cellular level
The method, called scLANE, can help scientists understand the mechanisms behind disease progression and identify new targets for therapies.
The method, called scLANE, can help scientists understand the mechanisms behind disease progression and identify new targets for therapies.
Researchers can now quickly screen chemicals using an online tool that flags high-risk chemicals.
Nyakhar and Wang's review of existing studies on the technology found eight generative AI chatbots that had a positive effect on students' mental health and well-being.
The index will provide policymakers with a holistic understanding of the multiple factors affecting women’s health across the lifespan.
UF researchers trained international graduate students and researchers on how to use AI to predict, prepare for and respond to infectious disease outbreaks.
The fifth annual DAISY workshop brought together students, faculty and a biotech industry leader to discuss AI collaboration between academia and industry.
The new computing power will accelerate artificial intelligence education and research at PHHP, where faculty members are pioneering AI methods to address some of the most pressing health challenges.
Wang received the American Public Health Association Cancer Forum 2025 Trainee Award.
The milestone acknowledges Lin’s significant contributions to research, teaching, service and leadership in the field of toxicology.
Vincent Mei and Owen Visser traveled to Liverpool, England, to present their research to an international group of bioinformatics scientists.