Filippo Mammini

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About

Filippo Mammini is a leading researcher in the intersection of artificial intelligence and radiation oncology, with a primary focus on improving treatment outcomes for prostate cancer patients. His most significant contribution is the development of the ICAROS Study’s machine learning-based predictive model for acute toxicity in patients undergoing salvage radiotherapy (SRT) after prostatectomy. This multicenter work, already garnering 3 citations in 2025, represents a pioneering effort to harness ML algorithms for personalized risk assessment of gastrointestinal and genitourinary toxicities. By identifying key prognostic factors from complex clinical datasets, Mammini’s model enables clinicians to tailor SRT plans, potentially reducing severe side effects while maintaining oncological efficacy. His research sits at the critical intersection of urologic oncology, radiomics, and computational medicine, offering a data-driven pathway to safer, more precise radiotherapy. Mammini’s work is particularly notable for its translational impact, directly addressing a pressing clinical challenge in post-prostatectomy management. As the field moves toward AI-augmented decision-making, his ICAROS framework stands as a benchmark for predictive toxicity modeling, promising to enhance quality of life for prostate cancer survivors.