KEYWORD

machine learning

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

A sign directs patients to monoclonal antibody infusion therapy at UCIMC

Federal COVID-19 response taps UCI Health as a model for delivering monoclonal antibody therapy

UCI Health treatment method to be shared with healthcare systems nationwide

UCI researchers use deep learning to identify gene regulation at single-cell level

Novel ability could further understanding and treatment of diseases such as cancer

Nurse attending to a patient in a hospital room.

UCI researchers create model to calculate COVID-19 health outcomes

Free online tool helps determine whether a patient will need a ventilator or ICU care

Zot Bots stand ready for dispatch across campus by the four UCI eateries currently offering the delivery service.

Meals on wheels

Ingenious mobile robots deliver restaurant fare to UCI students on campus

UCI biochip innovation combines AI and nanoparticle printing for cancer cell analysis

Low cost and ease of manufacturing allow for wide application in developing countries

UCI researcher receives NIH Transformative Research Award

Funds will support project to develop simplified methods for generating antibodies

Dr. Peter Chang, a UCI Health neuroradiologist who designed the algorithm and is co-director of UCI’s Center for Artificial Intelligence in Diagnostic Medicine said "In the course of just a month or so, we’ve gotten the data, built the model, tested it on some cohorts and launched it on a website.”

Predicting a patient’s path

UCI-developed machine learning tool aids doctors’ decision-making