New Analytic Tool Designed to Help Guide Precision Cancer Research and Treatment
New research from Veerabhadran Baladandayuthapani
Researchers can use this model to identify pre-clinical systems or potential treatments for multiple cancer types.
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Researchers can use this model to identify pre-clinical systems or potential treatments for multiple cancer types.
The University of Michigan’s OncCOVID app draws on global cancer and coronavirus data to create an individualized mortality risk assessment for receiving immediate versus delayed cancer treatment.
Associate professor of Epidemiology Rafael Meza was recently featured on "Lung Cancer Considered," a podcast produced by the International Association for the Study of Lung Cancer. The episode highlights Meza's recent study on smoke cessation programs and lung cancer screening.
Programs that help smokers kick the habit along with existing lung cancer screening efforts could reduce lung cancer mortality by 14% compared with screening alone, according to a new study.
Changing the way individuals are selected to be screened for lung cancer, by considering their probability of getting or dying from lung cancer calculated from risk-prediction models, could prevent 14% of lung cancer deaths per year.
Electronic health records were supposed to streamline patient information, but in the decade since inception, health workers claim they have compromised patient care and complicated their jobs. A recent University of Michigan study confirms earlier research about EHRs' shortcomings—this time in the highly complex outpatient chemotherapy setting.