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Glycemic indicators and mental health symptoms: results from the greater Beirut area cardiovascular cohort.

Autor: Chamseddine ZM; Department of Epidemiology and Population Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon., Nasrallah MP; Department of Internal Medicine, American University of Beirut Medical Center, Beirut, Lebanon., Tamim H; Department of Internal Medicine, American University of Beirut Medical Center, Beirut, Lebanon.; Clinical Research Institute, Department of Internal Medicine, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.; College of Medicine, Al Faisal University, Riyadh, Saudi Arabia., Nasreddine L; Department of Nutrition and Food Sciences, Faculty of Agricultural and Food Sciences, American University of Beirut, Beirut, Lebanon., Elbejjani M; Department of Internal Medicine, American University of Beirut Medical Center, Beirut, Lebanon.; Clinical Research Institute, Department of Internal Medicine, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.

Publikováno v: Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2024 Oct 16; Vol. 15, pp. 1347092. Date of Electronic Publication: 2024 Oct 16 (Print Publication: 2024).

A pathology foundation model for cancer diagnosis and prognosis prediction.

Autor: Wang X; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA., Zhao J; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA., Marostica E; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.; Division of Health Sciences and Technology, Harvard-Massachusetts Institute of Technology, Boston, MA, USA., Yuan W; College of Biomedical Engineering, Sichuan University, Chengdu, China., Jin J; Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, China., Zhang J; College of Biomedical Engineering, Sichuan University, Chengdu, China., Li R; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA., Tang H; Department of Pathology, Shenzhen Maternity & Child Healthcare Hospital, Shenzhen, China., Wang K; Department of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing, China., Li Y; Department of Pathology, Chongqing University Cancer Hospital, Chongqing, China., Wang F; Department of Pathology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China., Peng Y; Department of Pathology, The First Affiliated Hospital of Jinan University, Guangzhou, China., Zhu J; Department of Burn, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China., Zhang J; College of Biomedical Engineering, Sichuan University, Chengdu, China., Jackson CR; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.; Department of Pathology and Laboratory Medicine, Pennsylvania State University, Hummelstown, PA, USA.; Department of Pathology, Massachusetts General Hospital, Boston, MA, USA., Zhang J; Tencent AI Lab, Shenzhen, China., Dillon D; Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA., Lin NU; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA., Sholl L; Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA.; Department of Pathology, Dana-Farber Cancer Institute, Boston, MA, USA., Denize T; Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA.; Department of Pathology, Dana-Farber Cancer Institute, Boston, MA, USA., Meredith D; Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA., Ligon KL; Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA.; Department of Pathology, Dana-Farber Cancer Institute, Boston, MA, USA., Signoretti S; Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA.; Department of Pathology, Dana-Farber Cancer Institute, Boston, MA, USA., Ogino S; Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA.; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.; Broad Institute of MIT and Harvard, Cambridge, MA, USA., Golden JA; Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA.; Department of Pathology, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Nasrallah MP; Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA., Han X; Tencent AI Lab, Shenzhen, China., Yang S; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. sen.yang.scu@gmail.com.; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA. sen.yang.scu@gmail.com., Yu KH; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. Kun-Hsing_Yu@hms.harvard.edu.; Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA. Kun-Hsing_Yu@hms.harvard.edu.; Harvard Data Science Initiative, Harvard University, Cambridge, MA, USA. Kun-Hsing_Yu@hms.harvard.edu.

Publikováno v: Nature [Nature] 2024 Oct; Vol. 634 (8035), pp. 970-978. Date of Electronic Publication: 2024 Sep 04.

Predicting peritumoral glioblastoma infiltration and subsequent recurrence using deep-learning-based analysis of multi-parametric magnetic resonance imaging.

Autor: Kwak S; University of Pennsylvania, Perelman School of Medicine, Department of Radiology, Philadelphia, Pennsylvania, United States.; University of Pennsylvania, Perelman School of Medicine, Center for Biomedical Image Computing and Analytics, Philadelphia, Pennsylvania, United States., Akbari H; Santa Clara University, School of Engineering, Department of Bioengineering, Santa Clara, California, United States., Garcia JA; University of Pennsylvania, Perelman School of Medicine, Department of Radiology, Philadelphia, Pennsylvania, United States.; University of Pennsylvania, Perelman School of Medicine, Center for Biomedical Image Computing and Analytics, Philadelphia, Pennsylvania, United States., Mohan S; University of Pennsylvania, Perelman School of Medicine, Department of Radiology, Philadelphia, Pennsylvania, United States.; University of Pennsylvania, Perelman School of Medicine, Center for Biomedical Image Computing and Analytics, Philadelphia, Pennsylvania, United States., Dicker Y; Columbia University, School of Engineering, Department of Computer Science, New York, United States., Sako C; University of Pennsylvania, Perelman School of Medicine, Department of Radiology, Philadelphia, Pennsylvania, United States.; University of Pennsylvania, Perelman School of Medicine, Center for Biomedical Image Computing and Analytics, Philadelphia, Pennsylvania, United States., Matsumoto Y; University of Pennsylvania, Perelman School of Medicine, Department of Radiology, Philadelphia, Pennsylvania, United States., Nasrallah MP; University of Pennsylvania, Perelman School of Medicine, Department of Radiology, Philadelphia, Pennsylvania, United States.; University of Pennsylvania, Perelman School of Medicine, Department of Pathology and Laboratory Medicine, Philadelphia, Pennsylvania, United States., Shalaby M; Mercy Catholic Medical Center, Department of Radiology, Philadelphia, Pennsylvania, United States., O'Rourke DM; University of Pennsylvania, Perelman School of Medicine, Department of Neurosurgery, Philadelphia, Pennsylvania, United States., Shinohara RT; University of Pennsylvania, Perelman School of Medicine, Center for Biomedical Image Computing and Analytics, Philadelphia, Pennsylvania, United States.; University of Pennsylvania, Perelman School of Medicine, Department of Biostatistics and Epidemiology, Philadelphia, Pennsylvania, United States., Liu F; University of Pennsylvania, Perelman School of Medicine, Department of Biostatistics and Epidemiology, Philadelphia, Pennsylvania, United States., Badve C; Case Western Reserve University, University Hospitals Cleveland Medical Center, Department of Radiology, Cleveland, Ohio, United States., Barnholtz-Sloan JS; National Cancer Institute, Center for Biomedical Informatics and Information Technology, Division of Cancer Epidemiology and Genetics, Bethesda, Maryland, United States., Sloan AE; Piedmont Healthcare, Division of Neuroscience, Atlanta, Georgia, United States., Lee M; NYU Grossman School of Medicine, Department of Radiology, New York, United States., Jain R; NYU Grossman School of Medicine, Department of Radiology, New York, United States.; NYU Grossman School of Medicine, Department of Neurosurgery, New York, United States., Cepeda S; University Hospital Río Hortega, Valladolid, Spain., Chakravarti A; Ohio State University Wexner Medical Center, Department of Radiation Oncology, Columbus, Ohio, United States., Palmer JD; Ohio State University Wexner Medical Center, Department of Radiation Oncology, Columbus, Ohio, United States., Dicker AP; Thomas Jefferson University, Sidney Kimmel Cancer Center, Department of Radiation Oncology, Philadelphia, Pennsylvania, United States., Shukla G; Thomas Jefferson University, Sidney Kimmel Cancer Center, Department of Radiation Oncology, Philadelphia, Pennsylvania, United States., Flanders AE; Thomas Jefferson University, Sidney Kimmel Cancer Center, Department of Radiation Oncology, Philadelphia, Pennsylvania, United States., Shi W; Thomas Jefferson University, Sidney Kimmel Cancer Center, Department of Radiation Oncology, Philadelphia, Pennsylvania, United States., Woodworth GF; University of Maryland, School of Medicine, Department of Neurosurgery, Baltimore, Maryland, United States., Davatzikos C; University of Pennsylvania, Perelman School of Medicine, Department of Radiology, Philadelphia, Pennsylvania, United States.; University of Pennsylvania, Perelman School of Medicine, Center for Biomedical Image Computing and Analytics, Philadelphia, Pennsylvania, United States.

Publikováno v: Journal of medical imaging (Bellingham, Wash.) [J Med Imaging (Bellingham)] 2024 Sep; Vol. 11 (5), pp. 054001. Date of Electronic Publication: 2024 Aug 30.