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Leveraging Large Databases and Clinical Decision Science to Improve HPV-associated Cancer Prevention

Ashish A. Deshmukh, PhD, MPH
SEC 105

Human papillomavirus (HPV) is the most common sexually transmitted infection. Nearly 43,000 cancers are caused by HPV every year in the United States. This talk will cover: - Most recent epidemiology of HPV infection and HPV-associated cancers in the US - Current barriers to prevent these cancers - Optimal ways to prevent these cancers (informed by decision science methods)


Ashish A. Deshmukh, PhD, MPH, is an Assistant Professor in the Department of Management, Policy & Community Health at UTHealth School of Public Health (UTSPH). He is a decision scientist and health economist. His primary research application area is in the study of epidemiology, prevention, and management of HPV-associated cancers. He is currently leading an R01 grant (R01CA232888, 2019-2023) from the National Cancer Institute that will optimize HPV-associated anal cancer screening for persons living with HIV using several large databases, machine learning methods, and disease simulation modeling. His recent articles published in Annals of Internal Medicine, JNCI, JAMA Pediatrics, JAMA Network Open have been covered by The New York Times, National Public Radio, CNN, CBS, NBC Nightly News, Forbs, Time, and other media outlets. For his work, he received several prestigious awards, including the Lee B. Lusted award from the Society for Medical Decision Making, and Outstanding Postdoctoral Trainee and The Thomas H. and Mayme P. Scott Fellowship from MD Anderson Cancer Center.