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Statin Therapy Could Block Inflammatory Protein, Prevent Cancer

Statin Therapy Could Block Inflammatory Protein, Prevent Cancer
miragenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from miragenews.com Daily Mail and Mail on Sunday newspapers.

United States , Marjan Azin , Mari Mino Kenudson , Yevgeniyr Semenov , Shawn Demehri , Shadmehr Demehri , Anna Mandinova , Xutu Zhao , Nabeel Bardeesy , Mahsa Mortaja , Krishnas Tummala , Michaelr Collier , Jun Wang , Laurenm Sloat , Dermatology At Harvard Medical School , Cancer Center , Drug Administration , National Institutes Of Health , Research Scholar , Nature Communications , Cutaneous Biology Research Center , Sidney Kimmel Foundation , Burroughs Wellcome Fund , Mass General Cancer Center , Mass General Brigham , Cancer Immunology ,

Machine learning-based methods predict early-stage melanoma recurrence

Researchers at Massachusetts General Hospital and Harvard Medical School have developed machine learning-based methods to predict which patients with early-stage melanoma have the highest risk for disease recurrence.The methods could help reveal those who may benefit from greater surveillance or adjuvant immunotherapy, the investigators wrote in a study published in npj Precision Oncology. ....

United States , Dana Farber Cancer Institute , Yevgeniyr Semenov , American Joint Committee On Cancer , Dermatology Clinical Informatics Laboratory At Massachusetts , Harvard Medical School , Massachusetts General Hospital , Dermatology Clinical Informatics Laboratory , American Joint Committee , Mass General Brigham , Dana Farber Cancer ,

AI tool predicts melanoma survivor's risk of recurrence – Harvard Gazette

A new AI tool may help clinicians determine which early stage melanoma patients would likely benefit from aggressive treatment even at the onset of the disease. ....

United States , Dana Farber Cancer Institute , Wenxin Chen , Ahmad Rajeh , Noraa Alexander , Kimberly Tang , Genevievem Boland , Yevgeniyr Semenov , Munachimso Amadife , Michaelr Collier , Shijia Zhang , Seok Choi , Stacey Duey , Yining Hua , Department Of Dermatology , Massachusetts General Hospital , Mass General Brigham , Mass General , Min Seok Choi , Jordan Phillips , Artificial Intelligence , Early Stage Melanoma ,

What is the Effectiveness of Machine-Learning Algorithms in Predicting Melanoma Recurrence?

The majority of melanoma deaths happen to individuals who were originally diagnosed with early-stage melanoma and then encountered a recurrence that is often not recognized until it has spread or metastasized. ....

Dana Farber Cancer Institute , United States , Wenxin Chen , Ahmad Rajeh , Noraa Alexander , Kimberly Tang , Genevievem Boland , Emily Henderson , Yevgeniyr Semenov , Munachimso Amadife , Michaelr Collier , Shijia Zhang , Seok Choi , Stacey Duey , Yining Hua , Melanoma Research Alliance , Department Of Defense , National Institutes Of Health , Department Of Dermatology , Dermatology Foundation , Inside Creative , Massachusetts General Hospital , Study Senior Author , Massachusetts General , Mass General Brigham , Min Seok Choi ,

Melanoma survivors might be identified using an artificial intelligence technique: Study

According to a study, the majority of melanoma-related deaths occur in people who had an early-stage diagnosis of the most deadly kind of skin cancer and later suffered a recurrence that was often not noticed until it had spread or metastasized. ....

Dana Farber Cancer Institute , United States , Wenxin Chen , Ahmad Rajeh , Noraa Alexander , Kimberly Tang , Genevievem Boland , Yevgeniyr Semenov , Munachimso Amadife , Michaelr Collier , Shijia Zhang , Seok Choi , Stacey Duey , Yining Hua , Melanoma Research Alliance , Department Of Defense , National Institutes Of Health , Department Of Dermatology , Dermatology Foundation , Massachusetts General Hospital , Mass General Brigham , Mass General , Min Seok Choi , Jordan Phillips , National Institutes , Ews India ,