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Renato Umeton

Department Associate

Biostatistics, Harvard T.H. Chan School of Public Health

Departments

Department of Biostatistics

Biography

1. Department of Informatics & Analytics, Dana-Farber Cancer Institute, Boston, MA 02215, USA
2. Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
3. Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
4. Department of Biological Engineering, Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA

Publications

  • The TRIPOD-LLM Statement: A Targeted Guideline For Reporting Large Language Models Use.

    Gallifant J, Afshar M, Ameen S, Aphinyanaphongs Y, Chen S, Cacciamani G, Demner-Fushman D, Dligach D, Daneshjou R, Fernandes C, Hansen LH, Landman A, Lehmann L, McCoy LG, Miller T, Moreno A, Munch N, Restrepo D, Savova G, Umeton R, Gichoya JW, Collins GS, Moons KGM, Celi LA, Bitterman DS. medRxiv 2024 Jul 25
  • ChatGPT for digital pathology research.

    Omar M, Ullanat V, Loda M, Marchionni L, Umeton R. Lancet Digit Health 2024
  • Genomic and Immunophenotypic Landscape of Acquired Resistance to PD-(L)1 Blockade in Non-Small-Cell Lung Cancer.

    Ricciuti B, Lamberti G, Puchala SR, Mahadevan NR, Lin JR, Alessi JV, Chowdhury A, Li YY, Wang X, Spurr L, Pecci F, Di Federico A, Venkatraman D, Barrichello AP, Gandhi M, Vaz VR, Pangilinan AJ, Haradon D, Lee E, Gupta H, Pfaff KL, Welsh EL, Nishino M, Cherniack AD, Johnson BE, Weirather JL, Dryg ID, Rodig SJ, Sholl LM, Sorger P, Santagata S, Umeton R, Awad MM. J Clin Oncol 2024 Apr 10
  • Spatially aware deep learning reveals tumor heterogeneity patterns that encode distinct kidney cancer states.

    Nyman J, Denize T, Bakouny Z, Labaki C, Titchen BM, Bi K, Hari SN, Rosenthal J, Mehta N, Jiang B, Sharma B, Felt K, Umeton R, Braun DA, Rodig S, Choueiri TK, Signoretti S, Van Allen EM. Cell Rep Med 2023 09 19
  • Federated benchmarking of medical artificial intelligence with MedPerf.

    Karargyris A, Umeton R, Sheller MJ, Aristizabal A, George J, Wuest A, Pati S, Kassem H, Zenk M, Baid U, Narayana Moorthy P, Chowdhury A, Guo J, Nalawade S, Rosenthal J, Kanter D, Xenochristou M, Beutel DJ, Chung V, Bergquist T, Eddy J, Abid A, Tunstall L, Sanseviero O, Dimitriadis D, Qian Y, Xu X, Liu Y, Goh RSM, Bala S, Bittorf V, Reddy Puchala S, Ricciuti B, Samineni S, Sengupta E, Chaudhari A, Coleman C, Desinghu B, Diamos G, Dutta D, Feddema D, Fursin G, Huang X, Kashyap S, Lane N, Mallick I, Mascagni P, Mehta V, Ferro Moraes C, Natarajan V, Nikolov N, Padoy N, Pekhimenko G, Reddi VJ, Reina GA, Ribalta P, Singh A, Thiagarajan JJ, Albrecht J, Wolf T, Miller G, Fu H, Shah P, Xu D, Yadav P, Talby D, Awad MM, Howard JP, Rosenthal M, Marchionni L, Loda M, Johnson JM, Bakas S, Mattson P. Nat Mach Intell 2023