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检索条件"机构=Cancer Data Science Program"
250 条 记 录,以下是61-70 订阅
排序:
Algorithm Fairness in AI for Medicine and Healthcare
arXiv
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arXiv 2021年
作者: Chen, Richard J. Chen, Tiffany Y. Lipkova, Jana Wang, Judy J. Williamson, Drew F.K. Lu, Ming Y. Sahai, Sharifa Mahmood, Faisal Department of Pathology Brigham and Women's Hospital Harvard Medical School 60 Fenwood Road Hale Building for Transformative Medicine BostonMA02445 United States Department of Biomedical Informatics Harvard Medical School BostonMA United States Cancer Program Broad Institute of Harvard MIT CambridgeMA United States Cancer Data Science Program Dana-Farber Cancer Institute BostonMA United States Boston University School of Medicine BostonMA United States CambridgeMA United States Department of Systems Biology Harvard Medical School BostonMA United States Harvard Medical School BostonMA United States Harvard Data Science Initiative Harvard University CambridgeMA United States
In the current development and deployment of many artificial intelligence (AI) systems in healthcare, algorithm fairness is a challenging problem in delivering equitable care. Recent evaluation of AI models stratified... 详细信息
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Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples
arXiv
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arXiv 2023年
作者: Song, Andrew H. Williams, Mane Williamson, Drew F.K. Jaume, Guillaume Zhang, Andrew Chen, Bowen Serafin, Robert Liu, Jonathan T.C. Baras, Alex Parwani, Anil V. Mahmood, Faisal Department of Pathology Brigham and Women’s Hospital Harvard Medical School BostonMA United States Department of Pathology Massachusetts General Hospital Harvard Medical School BostonMA United States Cancer Program Broad Institute of Harvard and MIT CambridgeMA United States Data Science Program Dana-Farber Cancer Institute BostonMA United States Department of Biomedical Informatics Harvard Medical School BostonMA United States Harvard-MIT Division of Health Sciences and Technology Massachusetts Institute of Technology CambridgeMA United States Department of Mechanical Engineering Bioengineering Laboratory Medicine & Pathology University of Washington SeattleWA United States Department of Pathology Johns Hopkins Hospital BaltimoreMD United States Department of Biomedical Engineering Johns Hopkins Hospital BaltimoreMD United States Department of Pathology The Ohio State University ColumbusOH United States
Human tissue consists of complex structures that display a diversity of morphologies, forming a tissue microenvironment that is, by nature, three-dimensional (3D). However, the current standard-of-care involves slicin... 详细信息
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High-resolution dynamic imaging of chromatin DNA communication using Oligo-LiveFISH
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Cell 2025年
作者: Zhu, Yanyu Balaji, Ashwin Han, Mengting Andronov, Leonid Roy, Anish R. Wei, Zheng Chen, Crystal Miles, Leanne Cai, Sa Gu, Zhengxi Tse, Ariana Yu, Betty Chentzu Uenaka, Takeshi Lin, Xueqiu Spakowitz, Andrew J. Moerner, W.E. Qi, Lei S. Department of Bioengineering Stanford University Stanford 94305 CA United States Department of Chemistry Stanford University Stanford 94305 CA United States Biophysics PhD Program Stanford University Stanford 94305 CA United States Computational Biology Program Public Health Sciences Division and Translational Data Science IRC Fred Hutchinson Cancer Center Seattle 98109 WA United States Department of Chemical Engineering Stanford University Stanford 94305 CA United States Department of Materials Science and Engineering Stanford University Stanford 94305 CA United States Institute for Stem Cell Biology & Regenerative Medicine and Department of Pathology Stanford University School of Medicine Stanford 94305 CA United States Sarafan ChEM-H Stanford University Stanford 94305 CA United States Chan Zuckerberg Biohub San Francisco 94080 CA United States
Three-dimensional (3D) genome dynamics are crucial for cellular functions and disease. However, real-time, live-cell DNA visualization remains challenging, as existing methods are often confined to repetitive regions,... 详细信息
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A decomposition of Fisher’s information to inform sample size for developing fair and precise clinical prediction models - Part 2: time-to-event outcomes
arXiv
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arXiv 2025年
作者: Riley, Richard D. Collins, Gary S. Archer, Lucinda While, Rebecca Legha, Amardeep Kirton, Laura Dhiman, Paula Sadatsafavi, Mohsen Adderley, Nicola J. Alderman, Joseph MarGn, Glen P. Ensor, Joie Department of Applied Health Sciences School of Health Sciences College of Medicine and Health University of Birmingham Birmingham United Kingdom Birmingham Biomedical Research Centre Birmingham United Kingdom Centre for Sta?s?cs in Medicine Nuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences University of Oxford OxfordOX3 7LD United Kingdom Cancer Research UK Clinical Trials Unit Ins?tute of Cancer and Genomic Sciences College of Medical and Dental Sciences University of Birmingham Birmingham United Kingdom Respiratory Evalua?on Sciences Program Faculty of Pharmaceu?cal Sciences The University of Bri?sh Columbia Vancouver Canada Ins?tute of Inflamma?on and Ageing College of Medicine and Health University of Birmingham Birmingham United Kingdom Queen Elizabeth Hospital University Hospitals Birmingham NHS Founda?on Trust Birmingham United Kingdom Division of Informatics Imaging and Data Science Faculty of Biology Medicine and Health University of Manchester Manchester Academic Health Science Centre Manchester United Kingdom
Background When developing a clinical predicGon model using Gme-to-event data (i.e., with censoring and different lengths of follow-up), previous research focuses on the sample size needed to minimise overfifng and pr... 详细信息
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SYNTHETIC data IN MACHINE LEARNING FOR PATHOLOGY
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Journal of Pathology Informatics 2022年 13卷 100044-100044页
作者: Chen, Richard J. Lu, Ming Y. Chen, Tiffany Y. Williamson, Drew F.K. Mahmood, Faisal Department of Pathology Brigham and Women’s Hospital and Harvard Medical School Boston MA USA Department of Biomedical Informatics Harvard Medical School Boston MA USA Cancer Program Broad Institute of Harvard and MIT Cambridge MA USA Cancer Data Science Program Dana-Farber Cancer Institute Boston MA USA
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AI-BASED PATHOLOGY PREDICTS ORIGINS FOR cancerS OF UNKNOWN PRIMARY
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Journal of Pathology Informatics 2022年 13卷 100045-100045页
作者: Lu, Ming Y. Chen, Tiffany Y. Williamson, Drew F.K. Zhao, Melissa Shady, Maha Lipkova, Jana Mahmood, Faisal Department of Pathology Brigham and Women’s Hospital and Harvard Medical School Boston MA USA Cancer Program Broad Institute of Harvard and MIT Cambridge MA USA Cancer Data Science Program Dana-Farber Cancer Institute Boston MA USA Department of Biomedical Informatics Harvard Medical School Boston MA USA
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PAN-cancer INTEGRATIVE HISTOLOGY-GENOMIC ANALYSIS VIA INTERPRETABLE MULTIMODAL DEEP LEARNING
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Journal of Pathology Informatics 2022年 13卷 100057-100057页
作者: Chen, Richard J. Lu, Ming Y. Williamson, Drew F.K. Chen, Tiffany Y. Lipkova, Jana Shaban, Muhammad Shady, Maha Williams, Mane Joo, Bumjin Noor, Zahra Mahmood, Faisal Department of Pathology Brigham and Women’s Hospital Harvard Medical School Boston MA USA Department of Biomedical Informatics Harvard Medical School Boston MA USA Cancer Program Broad Institute of Harvard and MIT Cambridge MA USA Cancer Data Science Program Dana-Farber Cancer Institute Boston MA USA Department of Computer Science Harvard University Cambridge MA USA
来源: 评论
P1.27-04 Phase II Basket Trial of Dual Anti-CTLA-4 and Anti-PD-1 Blockade in Rare Tumors (DART) SWOG S1609: Bronchioloalveolar Carcinoma of the Lung
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Journal of Thoracic Oncology 2023年 第11期18卷 S284-S285页
作者: Y.K. Chae M. Othus S.P. Patel D.E. Gerber T. Tanvetyanon L.I.-Y. Chung H.S. Kim C.M. McLeod H.X. Chen E. Sharon H. Streicher C.W. Ryan C.D. Blanke R. Kurzrock Northwestern University CHICAGO/IL/USA SWOG Statistics and Data Management Center Seattle/WA/USA University of California at San Diego Moores Cancer Center La Jolla/CA/USA University of Texas Southwestern Medical Center Simmons Cancer Center Dallas/TX/USA Moffitt Cancer Center Tampa/FL/USA SWOG Data Operations Center Seattle/WA/USA National Cancer Institute Investigational Drug Branch Cancer Therapy Evaluation Program Bethesda/MD/USA Oregon Health & Science University Portland/OR/USA SWOG Group Chair’s Office Knight Cancer Institute Portland/OR/USA Medical College of Wisconsin Milwaukee/WI/USA
来源: 评论
Should workers be physically active after work?Associations of leisure-time physical activity with cardiovascular and all-cause mortality across occupational physical activity levels-An individual participant data meta-analysis
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Journal of Sport and Health science 2025年 第1期14卷 49-60页
作者: Bart Cillekens Pieter Coenen Maaike A.Huysmans Andreas Holtermann Richard P.Troiano Paul Jarle Mork Steinar Krokstad Els Clays Dirk De Bacquer Mette Aadahl Line Lund Kårhus Anette Sjøl Lars Bo Andersen Jussi Kauhanen Ari Voutilainen Richard Pulsford Emmanuel Stamatakis Uri Goldbourt Annette Peters Barbara Thorand Annika Rosengren Lena Björck Kyle Sprow Kristin Franzon Miguel Rodriguez-Barranco Leila Luján-Barroso Lars Alfredsson Martin Bahls Till Ittermann Miriam Wanner Matthias Bopp Jacob Louis Marott Peter Schnohr Børge G.Nordestgaarda Knut Eirik Dalene Ulf Ekelund Johan Clausen Magnus T.Jensen Christina Bjørk Petersen Niklas Krause Jos Twisk Willem van Mechelen Allard J.van der Beek Department of Public and Occupational Health Amsterdam Public Health Research InstituteVrije Universiteit AmsterdamAmsterdam UMCAmsterdam 1081 HVthe Netherlands National Research Centre for the Working Environment Copenhagen 2100Denmark Department of Sports Science and Clinical Biomechanics University of Southern DenmarkOdense 5230Denmark U.S.Public Health Service ArlingtonVA 22201USA Department of Public Health and Nursing Norwegian University of Science and TechnologyTrondheim 8905Norway Levanger Hospital Nord-Trøndelag Hospital TrustLevanger 7601Norway Department of Public Health and Primary Care Ghent UniversityGhent 9000Belgium Center for Clinical Research and Prevention Bispebjerg and Frederiksberg HospitalFrederiksberg 2000Denmark The Capital Region of Denmark Copenhagen 1172Denmark Western Norway University of Applied Sciences Faculty of EducationArts and SportsSogndal 5414Norway Institute of Public Health and Clinical Nutrition University of Eastern FinlandKuopio 1627Finland Faculty of Health and Life Sciences University of ExeterExeter EX12LUUK Mackenzie Wearables Research Hub Charles Perkins CentreThe University of SydneyNSW 2050Australia School of Health Sciences Faculty of Medicine and HealthThe University of SydneyNSW 2050Australia Sackler Medical faculty in Tel Aviv University Tel Aviv 6997801Israel Institute of Epidemiology Helmholtz Zentrum MünchenGerman Research Center for Environmental HealthNeuherberg 85764Germany German Centre for Cardiovascular Research(DZHK e.V.) partner site Munich Heart AllianceMunich 80636Germany Institute for Medical Information Processing Biometryand Epidemiology(IBE)Pettenkofer School of Public HealthFaculty of MedicineLudwig-Maximilians-UniversitätMunich 80636Germany Institute of Medicine Department of Molecular and Clinical MedicineSahlgrenska AcademyUniversity of GothenburgGothenburg 40530Sweden Region Västra Götaland Sahlgrenska University HospitalDepartment of Medicine Geriatrics and Emergency Medicine/ÖstraGothenb
Background There is insufficient evidence to provide recommendations for leisure-time physical activity among workers across various occupational physical activity *** study aimed to assess the association of leisure-... 详细信息
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EMBRACING DIGITAL AND COMPUTATIONAL PATHOLOGY DURING RESIDENCY TRAINING: PERSPECTIVES FROM TWO FORMER ANATOMIC PATHOLOGY RESIDENTS
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Journal of Pathology Informatics 2022年 13卷 100042-100042页
作者: Chen, Tiffany Y. Williamson, Drew F.K. Mahmood, Faisal Department of Pathology Brigham and Women’s Hospital and Harvard Medical School Boston Massachusetts United States Cancer Program Broad Institute of Harvard and MIT Cambridge Massachusetts United States Department of Biomedical Informatics Harvard Medical School Boston Massachusetts United States Cancer Data Science Program Dana-Farber Cancer Institute Boston Massachusetts United States
来源: 评论