Brandon Veremis
Icahn School of Medicine at Mount Sinai
9 Papers
1 Citations
Brandon Veremis is an academic researcher from Icahn School of Medicine at Mount Sinai. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 1, co-authored 2 publications.
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Papers
Pathophysiology of SARS-CoV-2: the Mount Sinai COVID-19 autopsy experience.
Clare Bryce,Zachary Grimes,Elisabet Pujadas,Sadhna Ahuja,Mary Beth Beasley,Randy A. Albrecht,Tahyna Hernandez,Aryeh Stock,Zhen Zhao,Mohamed Rizwan AlRasheed,Joyce Chen,Li Li,Diane Wang,Adriana D. Corben,G. Kenneth Haines,William H. Westra,Melissa Umphlett,Ronald E. Gordon,Jason Reidy,Bruce Petersen,Fadi Salem,Maria Isabel Fiel,Siraj M. El Jamal,Nadejda M. Tsankova,Jane Houldsworth,Zarmeen Mussa,Brandon Veremis,Emilia Mia Sordillo,Melissa R. Gitman,Michael D. Nowak,Rachel Brody,Noam Harpaz,Miriam Merad,Sacha Gnjatic,Wen-Chun Liu,Michael Schotsaert,Lisa Miorin,Teresa A. Aydillo Gomez,Irene Ramos-Lopez,Adolfo García-Sastre,Ryan Donnelly,Patricia Seigler,Calvin Keys,Jennifer Cameron,Isaiah Moultrie,Kae Lynn Washington,Jacquelyn D. Treatman,Robert Sebra,Jeffrey S. Jhang,Adolfo Firpo,John A. Lednicky,Alberto Paniz-Mondolfi,Carlos Cordon-Cardo,Mary Fowkes +53 more
TL;DR: The first 100 COVID-19-positive autopsies performed at the Mount Sinai Hospital in New York City revealed large pulmonary emboli in six cases and diffuse alveolar damage was present in over 90% of cases as mentioned in this paper.
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When students prefer feedback to grades: Evidence from one course.
TL;DR: Danciu et al. as discussed by the authors implemented a peer feedback system that encouraged self-reflection for the receiver as part of a third-year dental diagnostic sciences preclinical course to promote a growth mindset.
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Deep-learning Based Pathological Assessment of Frozen Procurement Kidney Biopsies Predicts Graft Loss and Guides Organ Utilization: A Large-scale Retrospective Study
Zhengzi Yi,Caixia Xi,Madhav C. Menon,Paolo Cravedi,Fasika Tedla,Zeguo Sun,Chengguo Wei,Brandon Veremis,Monica Garcia-Barros,Danielle J. Haakinson,Rachel I. Brody,Lorenzo Gallon,Philip J. O'Connell,Maarten Naesens,Ron Shapiro,Robert B. Colvin,Stephen C. Ward,Fadi Salem,Weijia Zhang +18 more
TL;DR: In this article , a deep-learning-based approach was proposed to identify kidney tissue compartments in H&E stained sections from procurement biopsies performed at 583 hospitals nationwide in year 2011-2020.
Development and Validation of a Digital-Artificial Intelligent (AI) enabled Assay to predict early-stage breast cancer recurrence
E. Fernandez,Marcel Prastawa,Richard Scott,Bahram Marami,Nina Shpalensky,Abishek Sainath Madduri,Krystal P. Cascetta,M. Sawyer,Mabel Chan,Giovanni Koll,D. Malinowski,Rebecca E. De Angel,Alex Shtabsky,Aaron Feliz,T. Hansen,Brandon Veremis,Carlos Cordon-Cardo,Jack Zeineh,M. Donovan +18 more
TL;DR: In this paper , the authors developed an AI-image analysis platform that utilizes whole slide images (WSI) to phenotype invasive breast cancer (IBC) at the tissue-cell architectural level.