A regulatory science initiative to harmonize and standardize digital pathology and machine learning processes to speed up clinical innovation to patients
Hetal Desai Marble1, Richard Huang1, Sarah Nixon Dudgeon2, Amanda Lowe3, Markus D Herrmann4, Scott Blakely5, Matthew O Leavitt6, Mike Isaacs7, Matthew G Hanna8, Ashish Sharma9, Jithesh Veetil10, Pamela Goldberg10, Joachim H Schmid11, Laura Lasiter12, Brandon D Gallas2, Esther Abels13, Jochen K Lennerz1
1 Department of Pathology, Center for Integrated Diagnostics, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA 2 Division of Imaging, Diagnostics, and Software Reliability, Center for Devices and Radiological Health, Food and Drug Administration, Office of Science and Engineering Laboratories, Silver Spring, MD, USA 3 Visiopharm Americas, Westminster, CO, USA 4 Department of Pathology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA 5 Hamamatsu Corporation, Pittsburgh, PA, USA 6 LUMEA, Salt Lake City, UT, USA 7 Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA 8 Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA 9 Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA, USA 10 Medical Device Innovation Consortium, Arlington, VA, USA 11 Roche Tissue Diagnostics, Santa Clara, USA 12 Friends of Cancer Research, Washington, DC, USA 13 PathAI, Boston, MA, USA
Correspondence Address:
Dr. Jochen K Lennerz Department of Pathology, Center for Integrated Diagnostics, Harvard Medical School, Massachusetts General Hospital, 55 Fruit Street, GRJ1015 Boston, MA 02114 USA
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/jpi.jpi_27_20
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