Join us for a cutting-edge exploration of how Artificial Intelligence is impacting the landscape of modern breast cancer detection and prevention.
Zoom Link Sent Upon Registration
Thursday, October 8, 2026 at 8 pm ET/5 pm PT

Join us this October for a cutting-edge exploration of how Artificial Intelligence is impacting the landscape of modern breast cancer detection and prevention. This webinar will share updates on the PRISM study (the first large-scale US randomized controlled trial evaluating AI in breast cancer screening), pioneering research in Europe, and advances in risk assessment tools. Our speaker will also share updates in ovarian cancer screening research and equip you with actionable strategies to advocate for the most up-to-date, tech-forward care available.
Questions? Contact Danna Berg at [email protected].
Speaker Bio
Dr. Nina Capiro, is an Assistant Professor of Radiology in the Breast Imaging Section at the David Geffen School of Medicine at the University of California, Los Angeles. She is a recipient of a mentorship grant from the Patient-Centered Outcomes Research Institute (PCORI) as part of the Pragmatic Randomized Trial of Artificial Intelligence for Screening Mammography (PRISM). Her research focuses on patient-centered implementation of new breast imaging technologies, identifying strategies to reduce healthcare disparities, and optimizing high risk breast cancer screening.
Disclaimer: By joining this program I understand and acknowledge that Sharsheret is not providing medical advice. Additionally, I release and waive Sharsheret from any liability in the event of any accident or injury I may incur either during the course of this webinar or in performing any of the activities discussed during the same.
All views shared on the webinar are of the speakers and are independent of the program sponsors. To the best knowledge of Sharsheret, no relationship exists between the sponsors and the speakers, and no payment has or will be made by the sponsor to the speakers in connection with this webinar.
