Chalfont St Giles, UK: GE HealthCare, Vanderbilt University Medical Center (VUMC), and the University Medicine Essen (UME), Germany, will present findings at the Society for Immunotherapy of Cancer (SITC) in San Diego, U.S., revealing that AI models predict patient responses to immunotherapies with 70 to 80 percent accuracy based on a pan-cancer cohort.Originally developed based on a cohort of over 3,000 immunotherapy patients from VUMC and subsequently validated on a cohort of 4,000 patients from UME, the AI models predict efficacy outcomes and the likelihood of an individual patient developing an adverse reaction. This could enable precision care by unlocking the potential for clinicians to select the appropriate personalized treatment pathway sooner while potentially sparing unnecessary side effects and cost.
Immunotherapies use the immune system to recognize and attack cancer cells and can be more effective than traditional treatments, but response rates are often low and side effects can be severe.[2] In addition to the potential benefits of these AI models in clinical use, with roughly 5,000 immunotherapies in development today[3], selecting patients more likely to respond could also help drug developers to speed up and increase the likelihood of success....READ MORE
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Chalfont St Giles, UK: GE HealthCare, Vanderbilt University Medical Center (VUMC), and the University Medicine Essen (UME), Germany, will present findings at the Society...
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