About 90% of nonmelanoma skin cancers are associated with ultraviolet radiation exposure. Sometimes prevention is straight forward: wear sunblock, stay shaded. But still, there are 1 million skin cancer diagnoses in the U.S. every year. Ultraviolet dosimeters are one of several technologies that are showing a lot of promise when it comes to preventing skin cancer. The tools collect personalized data about UV exposure and are linked to an app that allows people to enter information about their sun-protective behaviors like wearing sunscreen. Psychologist Frank Perna, program director at the National Cancer Institute (NCI)’s Division of Cancer Control and Population Sciences, Behavioral Research Program, and Health Behaviors Research Branch, discusses how programs like the Surveillance, Epidemiology and End Results (SEER) Program and the Classification of Laws Associated with School Students (CLASS) are helpful in tracking melanoma as well as capturing data about state policies related to sun safety and sunscreen use in schools.
Cancer HealthCast
19m listen
Where Psychology and Skin Cancer Prevention Meet
Share
Health researchers are applying psychology and emerging technologies to help better track melanoma incidents, assess UV exposure and promote sun safety policies in schools.
-
Frank Perna Program Director National Cancer Institute
Related Content
-
Rep. Walkinshaw on 3 Tech Priorities: TMF, FITARA and FedRAMP
The congressman discussed major federal technology developments and where policy can impact IT modernization and workforce development.
15m watch -
CMS Deploys AI Tools to Improve Security, Privacy
AI-powered tools and bug bounty programs help CMS detect threats and protect sensitive data.
7m watch -
Treating Data as a Utility to Streamline Veteran Services
The agency views its approach to data strategy as a utility to improve veteran services across the enterprise.
4m watch -
The Cybersecurity Nightmares Threatening Modern Organizations
Cybersecurity leaders examine the hidden threats facing organizations, from shadow AI and legacy systems to alert fatigue, analyst burnout and emerging AI risks.
17m watch