KEYWORD

machine learning

UC Irvine researchers create E. coli-based water monitoring technology

Bacterium used as a live sensor to detect heavy metal contamination

UCI researchers decipher atomic-scale imperfections in lithium-ion batteries

Team used super high-resolution microscopy enhanced by deep machine learning

Dr. Daniel Chow

Precision health perspectives

Daniel Chow discusses how physicians can use artificial intelligence tools to benefit patients

Peter Chang

Precision health perspectives

Peter Chang discusses how artificial intelligence can revolutionize medical care

UCI researchers develop hybrid human-machine framework for building smarter AI

Model uses human and algorithmic predictions and confidence scores to boost accuracy

UCI team uncovers key brain mechanisms for organizing memories in time

Convergence research project integrated neurobiology with data science techniques

Tom Andriola and Leslie Thompson

UCI announces launch of Institute for Precision Health

Individually tailored wellness approach is giant leap in patient control, improved outcomes

UCI Institute for Precision Health FAQ

What is precision health? Precision health is a powerful approach that uses data science to help prevent disease and accurately predict, diagnose and treat individual patients as is best for them. Its practitioners employ data – information about patients – and analytics to provide more exact and effective health plans. Precision health is also a […]

UCI team develops recommended practices for study of adverse drug events using EHRs

UCI researchers have developed recommended practices for evaluating evidence generated by adverse drug event studies that use electronic health record databases. Their findings are published online in the Journal of the American College of Clinical Pharmacy. The availability of large EHR databases offers opportunities for big data analytics and machine learning to be applied in […]

UCI researchers eavesdrop on cellular conversations

New computational tool decodes biological language of signaling molecules