首页|Gemelli Molise Hospital Reports Findings in Machine Learning (Machine-learning prediction of treatment response to stereotactic body radiation therapy in oligometastatic gynecological cancer: a multi-institutional study)
Gemelli Molise Hospital Reports Findings in Machine Learning (Machine-learning prediction of treatment response to stereotactic body radiation therapy in oligometastatic gynecological cancer: a multi-institutional study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting from Campobasso, Italy, by NewsRx journalists, research stated, “We aimed to develop andvalidate different machine-learning (ML) prediction models for the complete response of oligometastaticgynecological cancer after SBRT. One hundred fifty-seven patients with 272 lesions from 14 differentinstitutions and treated with SBRT with radical intent were included.”
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