Realizing the Promise of Cognitive Computing in Cancer Care: Ushering in a New Era

Autor: Kyu Rhee, Fernando Suarez, Andrew D. Norden, Alexandra Urman, Irene Dankwa-Mullan

Publikováno v: JCO Clinical Cancer Informatics. :1-6

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f77be2fb5a3d9017a3ba4e4ae9ba87be
https://doi.org/10.1200/cci.17.00049

Human tumor-associated macrophage and monocyte transcriptional landscapes reveal cancer-specific reprogramming, biomarkers and therapeutic targets

Autor: Hui Zhang, Stamatina Fragkogianni, Agnieszka Swierczak, Michael Millar, Pavana Anur, Alexandra Urman, Jeffrey W. Pollard, Zhichao Ai, Luca Cassetta, Elaine Y. Lin, Daniel Y.H. Soong, Paul T. Spellman, Lisa Wiechmann, J Michael Dixon, E. Shelley Hwang, Andrew H. Sims, Martha Lopez-Yrigoyen, Harriet O. Smith, Antonella Fidanza, Lesley M. Forrester, Lisa M. Coussens, Tiziana Cotechini

Publikováno v: Cassetta, L, Fragkogianni, S, Sims, A H, Swierczak, A, Forrester, L M, Zhang, H, Soong, D, Cotechini, T, Anur, P, Lin, E, Fidanza, A, Lopez Yrigoyen, M, Millar, M, Urman, A, Ai, Z, Spellman, P T, Hwang, E S, Dixon, J M, Wiechmann, L, Coussens, L M, W. Smith, H & Pollard, J W 2019, ' Human tumor-associated macrophage and monocyte transcriptional landscapes reveal cancer-specific reprogramming, biomarkers and therapeutic targets ', Cancer Cell, vol. 35, no. 4, pp. 588-602.e10 . https://doi.org/10.1016/j.ccell.2019.02.009

Summary The roles of tumor-associated macrophages (TAMs) and circulating monocytes in human cancer are poorly understood. Here, we show that monocyte subpopulation distribution and transcriptomes are significantly altered by the presence of endometri

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fa503d0d0fba4ad11496db553c445bc
https://hdl.handle.net/20.500.11820/63a217b4-34e8-4d02-bf6d-794aa17da8df

Curbing the burden of lung cancer

Autor: Alexandra Urman, H. Dean Hosgood

Publikováno v: Frontiers of medicine. 10(2)

Lung cancer contributes substantially to the global burden of disease and healthcare costs. New screening modalities using low-dose computerized tomography are promising tools for early detection leading to curative surgery. However, the screening an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::359b1b0dc7618c0b782f45be6674ef30
https://pubmed.ncbi.nlm.nih.gov/27178304

Deep learning applied toward predicting modality, disease, and referrals in primary care clinical photography

Autor: Jane L. Snowdon, Daren Anderson, William Kassler, Tyler Philips, Bishwaranjan Bhattacharjee, Alexandra Urman, Kevin Massey, Noel C. F. Codella, John R. Smith

Publikováno v: Journal of the American Academy of Dermatology. 79:AB99

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::938f0c97a85cf00e51f4a27ec8a8c7ab
https://doi.org/10.1016/j.jaad.2018.05.426

Clinical performance pilot using cognitive computing for clinical trial matching at Mayo Clinic

Autor: Sadie Coverdill, M Paul Williamson, Tufia C. Haddad, Alexandra Urman, Melissa Rammage, Matthew P. Goetz, Quincy Chau, Li-Ing Liu, M. Christopher Roebuck, Irene Dankwa-Mullan, K. Pomerleau, Jane M. Helgeson, Michael Vinegra, Robert William Sweetman

Publikováno v: Journal of Clinical Oncology. 36:e18598-e18598

e18598Background: IBM Watson for Clinical Trial Matching (CTM) is a cognitive computing solution that uses natural language processing to match patients to clinical trials through analysis of struc...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6e3e1cbc640b3a0c5da4a4dcd1d75565
https://doi.org/10.1200/jco.2018.36.15_suppl.e18598