Modeling Cancer Risk with AI

Adam Yala, Ph.D., UC Berkeley and UC San Francisco Member, SU2C Convergence 2.0 Research Team: Machine Learning for Cancer Immunotherapy

AI holds the potential to revolutionize how, when, and where we screen for some of the most common cancers. In the lab of Dr. Yala, AI-enabled breast cancer risk models developed using mammogram data have outperformed clinical tools when it comes to identifying those at risk of developing breast cancer, making it possible to intervene the right way (for example, with an MRI) at the right time to diagnose cancer early.

In time, as Dr. Yala’s lab applies better algorithms to these risk models, this methodology could bring about a sea change in early detection: for example, a website where a patient could determine their risk of developing cancer and receive personalized, tailored screening recommendations based on their medical history.

Our Mission

Stand Up To Cancer raises awareness and funds research to detect and treat cancers with the aspiration to cure all patients.

  • Impact at a Glance

    Doctor and patient holding placards showcasing their support for groups affected by cancer.
    0+
    INSTITUTIONS
    0+
    RESEARCHERS
    0+
    CLINICAL TRIALS
    0+
    RESEARCH TEAMS
    0+
    CLINICAL TRIAL PATIENTS

  • Fund Research. Donate!

    Stand Up To Cancer is a leader in innovative cancer research, bringing together the best and brightest to create new groundbreaking therapies and treatments.

    Secure Payment

Related Stories