Detection of Pathogenic Variants With Germline Genetic Testing Using Deep Learning vs Standard Methods in Patients With Prostate Cancer and Melanoma

Author:

AlDubayan Saud H.1234,Conway Jake R.125,Camp Sabrina Y.12,Witkowski Leora6,Kofman Eric12,Reardon Brendan12,Han Seunghun127,Moore Nicholas12,Elmarakeby Haitham128,Salari Keyan9,Choudhry Hani10,Al-Rubaish Abdullah M.11,Al-Sulaiman Abdulsalam A.11,Al-Ali Amein K.11,Taylor-Weiner Amaro25,Van Allen Eliezer M.12

Affiliation:

1. Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Harvard University, Boston, Massachusetts

2. Cancer Program, Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge

3. Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts

4. College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia

5. Division of Medical Sciences, Department of Biomedical Informatics, Harvard University, Boston, Massachusetts

6. Genetics Training Program, Harvard Medical School, Harvard University, Boston, Massachusetts

7. Program in Biological and Biomedical Sciences, Division of Medical Sciences, Harvard University, Boston, Massachusetts

8. Department of System and Computer Engineering, Al-Azhar University, Cairo, Egypt

9. Department of Urology, Massachusetts General Hospital, Boston

10. Department of Biochemistry, Cancer Metabolism and Epigenetic Unit, Faculty of Science, Cancer and Mutagenesis Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia

11. College of Medicine, Imam Abdulrahman bin Faisal University, Dammam, Saudi Arabia

Publisher

American Medical Association (AMA)

Subject

General Medicine

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