Benjamin Scott Glicksberg (Benjamin S Glicksberg, Benjamin Glicksberg)

Scopus Author ID Loop profile ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 68

Top Venues

Journal of the American Medical Informatics Association : JAMIA

medRxiv : the preprint server for health sciences

Nature medicine

NPJ digital medicine

Icahn School of Medicine at Mount Sinai

Icahn School of Medicine at Mount Sinai (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Icahn School of Medicine at Mount Sinai Oct 09 2019

United States

Assistant Professor :: Genetics and Genomic Sciences

Education History

Icahn School of Medicine at Mount Sinai Sep 15 2012 - Sep 11 2017

United States

PHD :: Genetics and Genomic Sciences / Neuroscience

Publications

Dhavalkumar Patel, Prem Timsina, Larisa Gorenstein, Benjamin Scott Glicksberg, Ganesh Raut, Satya Narayana Cheetirala, Fabio Santana, Jules Tamegue, Arash Kia, Eyal Zimlichman, Matthew A Levin, Robert M Freeman, Eyal Klang
Traditional Machine Learning, Deep Learning, and BERT (Large Language Model) Approaches for Predicting Hospitalizations From Nurse Triage Notes: Comparative Evaluation of Resource Management. JMIR AI 3 (2024)
Kexin Huang, Payal Chandak, Qianwen Wang, Shreyas Havaldar, Akhil Vaid, Jure Leskovec, Girish Nitin Nadkarni, Benjamin Scott Glicksberg, Nils Gehlenborg, Marinka Zitnik
A foundation model for clinician-centered drug repurposing. medRxiv : the preprint server for health sciences (2024)
Benjamin Scott Glicksberg, Prem Timsina, Dhaval Patel, Ashwin S Sawant, Akhil Vaid, Ganesh Raut, Alexander W Charney, Donald Apakama, Brendan G Carr, Robert M Freeman, Girish N Nadkarni, Eyal Klang
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room. Journal of the American Medical Informatics Association : JAMIA (2024)
Benjamin Scott Glicksberg, Prem Timsina, Dhaval Patel, Ashwin S Sawant, Akhil Vaid, Ganesh Raut, Alexander W Charney, Donald Apakama, Brendan G Carr, Robert M Freeman, Girish N Nadkarni, Eyal Klang
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Kexin Huang, Payal Chandak, Qianwen Wang, Shreyas Havaldar, Akhil Vaid, Jure Leskovec, Girish Nitin Nadkarni, Benjamin Scott Glicksberg, Nils Gehlenborg, Marinka Zitnik
A foundation model for clinician-centered drug repurposing. medRxiv : the preprint server for health sciences (2024)
Benjamin Scott Glicksberg, Prem Timsina, Dhaval Patel, Ashwin S Sawant, Akhil Vaid, Ganesh Raut, Alexander W Charney, Donald Apakama, Brendan G Carr, Robert M Freeman, Girish N Nadkarni, Eyal Klang
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Benjamin Scott Glicksberg, Prem Timsina, Dhaval Patel, Ashwin S Sawant, Akhil Vaid, Ganesh Raut, Alexander W Charney, Donald Apakama, Brendan G Carr, Robert M Freeman, Girish N Nadkarni, Eyal Klang
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Kexin Huang, Payal Chandak, Qianwen Wang, Shreyas Havaldar, Akhil Vaid, Jure Leskovec, Girish Nitin Nadkarni, Benjamin Scott Glicksberg, Nils Gehlenborg, Marinka Zitnik
A foundation model for clinician-centered drug repurposing. medRxiv : the preprint server for health sciences (2024)
Girish Nitin Nadkarni, Ishan Paranjpe, Pushkala Jayaraman, Chen-Yang Su, Sirui Zhou, Steven Chen, Diane Del Valle, Ryan C Thompson, Ephraim Kenigsberg, Shan P Zhao, Suraj K Jaladanki, Kumardeep Chaudhary, Steven Ascolillo, Akhil Vaid, Edgar G Kozlova, Arvind Kumar, Manish Paranjpe, Ross O'Hagan, Samir Kamat, Faris Gulamali, Justin Kauffman, Hui Xie, Joceyln Harris, Manishkumar Patel, Kimberly Argueta, Craig Batchelor, Kai Nie, Sergio Dellepiane, Leisha Scott, Matthew A Levin, John Cijiang He, Mayte Suárez-Fariñas, Steven Coca, Lili Chan, Evren U Azeloglu, Eric E Schadt, Noam D Beckmann, Sacha Gnjatic, Miriam Merad, Seunghee Kim-Schulze, John Brent Richards, Benjamin Scott Glicksberg, Alexander W Charney
Proteomic Characterization of Acute Kidney Injury in Patients Hospitalized with SARS-CoV2 Infection. Research square (2023)
Akhil Vaid, Edgar Argulian, Stamatios Lerakis, Brett K Beaulieu-Jones, Chayakrit Krittanawong, Eyal Klang, Joshua Lampert, Vivek Y Reddy, Jagat Narula, Girish Nitin Nadkarni, Benjamin Scott Glicksberg
Multi-center retrospective cohort study applying deep learning to electrocardiograms to identify left heart valvular dysfunction. Communications medicine 3 (1) (2023)
Adi Lahat, Eyal Shachar, Benjamin Avidan, Benjamin Scott Glicksberg, Eyal Klang
Evaluating the Utility of a Large Language Model in Answering Common Patients' Gastrointestinal Health-Related Questions: Are We There Yet? Diagnostics (Basel, Switzerland) 13 (11) (2023)
Akhil Vaid, Ashwin S Sawant, Mayte Suárez-Fariñas, Juhee Lee, Sanjeev Kaul, Patricia Kovatch, Robert M Freeman, Joy Jiang, Pushkala Jayaraman, Zahi Adel Fayad, Edgar Argulian, Stamatios Lerakis, Alexander W Charney, Fei Wang, Matthew A Levin, Benjamin Scott Glicksberg, Jagat Narula, Ira Hofer, Karandeep S Singh, Girish Nitin Nadkarni
Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings : A Simulation Study. Annals of internal medicine (2023)
Akhil Vaid, Edgar Argulian, Stamatios Lerakis, Brett K Beaulieu-Jones, Chayakrit Krittanawong, Eyal Klang, Joshua Lampert, Vivek Y Reddy, Jagat Narula, Girish Nitin Nadkarni, Benjamin Scott Glicksberg
Multi-center retrospective cohort study applying deep learning to electrocardiograms to identify left heart valvular dysfunction. Communications medicine 3 (1) (2023)
Idit Tessler, Nir A Gecel, Benjamin Scott Glicksberg, Shaked Shivatzki, Yisgav Shapira, Eyal Zimlichman, Eran E Alon, Eyal Klang, Amit Wolfovitz
A Five-Decade Text Mining Analysis of Cochlear Implant Research: Where We Started and Where We Are Heading. Medicina (Kaunas, Lithuania) 59 (11) (2023)
Jonathan A Tangsrivimol, Ethan Schonfeld, Michael Zhang, Anand Veeravagu, Timothy R Smith, Roger Härtl, Michael T Lawton, Adham H El Sherbini, Daniel M Prevedello, Benjamin Scott Glicksberg, Chayakrit Krittanawong
Artificial Intelligence in Neurosurgery: A State-of-the-Art Review from Past to Future. Diagnostics (Basel, Switzerland) 13 (14) (2023)
Chayakrit Krittanawong, Alaa Mabrouk Salem Omar, Sukrit Narula, Partho P Sengupta, Benjamin Scott Glicksberg, Jagat Narula, Edgar Argulian
Deep Learning for Echocardiography: Introduction for Clinicians and Future Vision: State-of-the-Art Review. Life (Basel, Switzerland) 13 (4) (2023)
Akhil Vaid, Joy Jiang, Ashwin S Sawant, Stamatios Lerakis, Edgar Argulian, Yuri Ahuja, Joshua Lampert, Alexander W Charney, Hayit Greenspan, Jagat Narula, Benjamin Scott Glicksberg, Girish Nitin Nadkarni
A foundational vision transformer improves diagnostic performance for electrocardiograms. NPJ digital medicine 6 (1) (2023)
Chayakrit Krittanawong, Alaa Mabrouk Salem Omar, Sukrit Narula, Partho P Sengupta, Benjamin Scott Glicksberg, Jagat Narula, Edgar Argulian
Deep Learning for Echocardiography: Introduction for Clinicians and Future Vision: State-of-the-Art Review. Life (Basel, Switzerland) 13 (4) (2023)
Chayakrit Krittanawong, Alaa Mabrouk Salem Omar, Sukrit Narula, Partho P Sengupta, Benjamin Scott Glicksberg, Jagat Narula, Edgar Argulian
Deep Learning for Echocardiography: Introduction for Clinicians and Future Vision: State-of-the-Art Review. Life (Basel, Switzerland) 13 (4) (2023)
Chayakrit Krittanawong, Alaa Mabrouk Salem Omar, Sukrit Narula, Partho P Sengupta, Benjamin Scott Glicksberg, Jagat Narula, Edgar Argulian
Deep Learning for Echocardiography: Introduction for Clinicians and Future Vision: State-of-the-Art Review. Life (Basel, Switzerland) 13 (4) (2023)
Chengxi Zang, Hao Zhang, Jie Xu, Hansi Zhang, Sajjad Fouladvand, Shreyas Havaldar, Feixiong Cheng, Kun Chen, Yong Chen, Benjamin Scott Glicksberg, Jin Chen, Jiang Bian, Fei Wang
High-throughput target trial emulation for Alzheimer's disease drug repurposing with real-world data. Nature communications 14 (1) (2023)
Ishan Paranjpe, Pushkala Jayaraman, Chen-Yang Su, Sirui Zhou, Steven Chen, Ryan C Thompson, Diane Marie Del Valle, Ephraim Kenigsberg, Shan P Zhao, Suraj K Jaladanki, Kumardeep Chaudhary, Steven Ascolillo, Akhil Vaid, Edgar G Kozlova, Justin Kauffman, Arvind Kumar, Manish Paranjpe, Ross O Hagan, Samir Kamat, Faris F Gulamali, Hui Xie, Joceyln Harris, Manishkumar Patel, Kimberly Argueta, Craig Batchelor, Kai Nie, Sergio Dellepiane, Leisha Scott, Matthew A Levin, John Cijiang He, Mayte Suárez-Fariñas, Steven G Coca, Lili Chan, Evren U Azeloglu, Eric E Schadt, Noam D Beckmann, Sacha Gnjatic, Miriam Merad, Seunghee Kim-Schulze, John Brent Richards, Benjamin Scott Glicksberg, Alexander W Charney, Girish Nitin Nadkarni
Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection. Communications medicine 3 (1) (2023)
Ishan Paranjpe, Pushkala Jayaraman, Chen-Yang Su, Sirui Zhou, Steven Chen, Ryan C Thompson, Diane Marie Del Valle, Ephraim Kenigsberg, Shan Zhao, Suraj K Jaladanki, Kumardeep Chaudhary, Steven Ascolillo, Akhil Vaid, Arvind Kumar, Edgar G Kozlova, Manish Paranjpe, Ross O'Hagan, Samir Kamat, Faris F Gulamali, Justin Kauffman, Hui Xie, Joceyln Harris, Manishkumar Patel, Kimberly Argueta, Craig Batchelor, Kai Nie, Sergio Dellepiane, Leisha Scott, Matthew A Levin, John Cijiang He, Mayte Suárez-Fariñas, Steven G Coca, Lili Chan, Evren U Azeloglu, Eric Schadt, Noam Beckmann, Sacha Gnjatic, Miram Merad, Seunghee Kim-Schulze, John Brent Richards, Benjamin Scott Glicksberg, Alexander W Charney, Girish Nitin Nadkarni
Proteomic Characterization of Acute Kidney Injury in Patients Hospitalized with SARS-CoV2 Infection. medRxiv : the preprint server for health sciences (2022)
Ke Liu, Martin Witteveen-Lane, Benjamin Scott Glicksberg, Omkar Kulkarni, Rama Shankar, Evgeny Chekalin, Shreya Paithankar, Jeanne Yang, Dave Chesla, Bin Chen
BGLM: big data-guided LOINC mapping with multi-language support. JAMIA open 5 (4) (2022)
Alice S Tang, Tomiko T Oskotsky, Shreyas Havaldar, William G Mantyh, Mesude Bicak, Caroline Warly Solsberg, Sarah R Woldemariam, Billy Zeng, Zicheng Hu, Boris Oskotsky, Dena B Dubal, Isabel E Allen, Benjamin Scott Glicksberg, Marina Sirota
Deep phenotyping of Alzheimer's disease leveraging electronic medical records identifies sex-specific clinical associations. Nature communications 13 (1) (2022)
Braja Gopal Patra, Mohit Manoj Sharma, Veer Vekaria, Prakash Adekkanattu, Olga V Patterson, Benjamin Scott Glicksberg, Lauren A Lepow, Euijung Ryu, Joanna M Biernacka, Al'ona Furmanchuk, Thomas J George, William R Hogan, Yonghui Wu, Xi Yang, Jiang Bian, Myrna Weissman, Priya Wickramaratne, J John Mann, Mark Olfson, Thomas R Campion, Mark G Weiner, Jyotishman Pathak
Extracting social determinants of health from electronic health records using natural language processing: a systematic review. Journal of the American Medical Informatics Association : JAMIA 28 (12) (2022)
Faris F Gulamali, Ashwin S Sawant, Patricia Kovatch, Benjamin Scott Glicksberg, Alexander Charney, Girish Nitin Nadkarni, Eric Oermann
Autoencoders for sample size estimation for fully connected neural network classifiers. NPJ digital medicine 5 (1) (2022)
Dhavalkumar Patel, Satya Narayan Cheetirala, Ganesh Raut, Jules Tamegue, Arash Kia, Benjamin Scott Glicksberg, Robert M Freeman, Matthew A Levin, Prem Timsina, Eyal Klang
Predicting Adult Hospital Admission from Emergency Department Using Machine Learning: An Inclusive Gradient Boosting Model. Journal of clinical medicine 11 (23) (2022)
Akhil Vaid, Joy J Jiang, Ashwin S Sawant, Karandeep Singh, Patricia Kovatch, Alexander W Charney, David M Charytan, Jasmin Divers, Benjamin Scott Glicksberg, Lili Chan, Girish N Nadkarni
Automated Determination of Left Ventricular Function Using Electrocardiogram Data in Patients on Maintenance Hemodialysis. Clinical journal of the American Society of Nephrology : CJASN 17 (7) (2022)
Wonsuk Oh, Pushkala Jayaraman, Ashwin S Sawant, Lili Chan, Matthew A Levin, Alexander W Charney, Patricia Kovatch, Benjamin Scott Glicksberg, Girish N Nadkarni
Using sequence clustering to identify clinically relevant subphenotypes in patients with COVID-19 admitted to the intensive care unit. Journal of the American Medical Informatics Association : JAMIA 29 (3) (2022)
Dhavalkumar Patel, Satya Narayan Cheetirala, Ganesh Raut, Jules Tamegue, Arash Kia, Benjamin Scott Glicksberg, Robert M Freeman, Matthew A Levin, Prem Timsina, Eyal Klang
Predicting Adult Hospital Admission from Emergency Department Using Machine Learning: An Inclusive Gradient Boosting Model. Journal of clinical medicine 11 (23) (2022)
Tyler J Loftus, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Benjamin Scott Glicksberg, Jie Cao, Karandeep Singh, Lili Chan, Girish N Nadkarni, Azra Bihorac
Artificial intelligence-enabled decision support in nephrology. Nature reviews. Nephrology 18 (7) (2022)
Ryan C Thompson, Nicole W Simons, Lillian Wilkins, Esther Cheng, Diane M Del Valle, Gabriel E Hoffman, Carlo Cervia-Hasler, Brian Fennessy, Konstantinos Mouskas, Nancy J Francoeur, Jessica S Johnson, Lauren Lepow, Jessica Le Berichel, Christie Chang, Aviva G Beckmann, Ying-Chih Wang, Kai Nie, Nicholas Zaki, Kevin Tuballes, Vanessa Barcessat, Mario A Cedillo, Dan Yuan, Laura M Huckins, Panagiotis Roussos, Thomas U Marron, null null, Benjamin Scott Glicksberg, Girish Nitin Nadkarni, James R Heath, Edgar G Kozlova, Onur Boyman, Seunghee Kim-Schulze, Robert Sebra, Miriam Merad, Sacha Gnjatic, Eric E Schadt, Alexander W Charney, Noam D Beckmann
Molecular states during acute COVID-19 reveal distinct etiologies of long-term sequelae. Nature medicine (2022)
Faris F Gulamali, Ashwin S Sawant, Patricia Kovatch, Benjamin Scott Glicksberg, Alexander Charney, Girish Nitin Nadkarni, Eric Oermann
Autoencoders for sample size estimation for fully connected neural network classifiers. NPJ digital medicine 5 (1) (2022)
Dhavalkumar Patel, Satya Narayan Cheetirala, Ganesh Raut, Jules Tamegue, Arash Kia, Benjamin Scott Glicksberg, Robert M Freeman, Matthew A Levin, Prem Timsina, Eyal Klang
Predicting Adult Hospital Admission from Emergency Department Using Machine Learning: An Inclusive Gradient Boosting Model. Journal of clinical medicine 11 (23) (2022)
Chayakrit Krittanawong, Kipp W Johnson, Edward Choi, Scott Kaplin, Eric Venner, Mullai Murugan, Zhen Wang, Benjamin Scott Glicksberg, Christopher Ian Amos, Michael C Schatz, Wai Hong Wilson Tang
Artificial Intelligence and Cardiovascular Genetics. Life (Basel, Switzerland) 12 (2) (2022)
Isotta Landi, Deepak A Kaji, Liam Cotter, Tielman T Van Vleck, Gillian Belbin, Michael H Preuss, Ruth J F Loos, Eimear Kenny, Benjamin Scott Glicksberg, Noam D Beckmann, Paul F O'Reilly, Eric E Schadt, Eric D Achtyes, Peter F Buckley, Douglas Lehrer, Dolores P Malaspina, Steven A McCarroll, Mark H Rapaport, Ayman H Fanous, Michele T Pato, Carlos N Pato, Tim B Bigdeli, Girish N Nadkarni, Alexander W Charney
Prognostic value of polygenic risk scores for adults with psychosis. Nature medicine 27 (9) (2021)
Sulaiman S Somani, Adam J Russak, Felix Richter, Shan P Zhao, Akhil Vaid, Fayzan Chaudhry, Jessica K De Freitas, Nidhi Naik, Riccardo Miotto, Girish N Nadkarni, Jagat Narula, Edgar Argulian, Benjamin Scott Glicksberg
Deep learning and the electrocardiogram: review of the current state-of-the-art. Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology 23 (8) (2021)
Mona G Flores, Ittai Dayan, Holger R Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Abidin, Andrew Liu, Anthony Costa, Bradford Wood, Chien-Sung Tsai, Chih-Hung Wang, Chun-Nan Hsu, C K Lee, Colleen Ruan, Daguang Xu, Dufan Wu, Eddie Huang, Felipe Campos Kitamura, Griffin Lacey, Gustavo César de Antônio Corradi, Hao-Hsin Shin, Hirofumi Obinata, Hui Ren, Jason Crane, Jesse Tetreault, Jiahui Guan, John W Garrett, Jung Gil Park, Keith Dreyer, Krishna Juluru, Kristopher Kersten, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Marius Linguraru, Masoom Haider, Meena AbdelMaseeh, Nicola Rieke, Pablo Damasceno, Pedro Mario Cruz E Silva, Pochuan Wang, Sheng Xu, Shuichi Kawano, Sira Sriswasdi, Soo Young Park, Thomas Grist, Varun Buch, Watsamon Jantarabenjakul, Weichung Wang, Won Young Tak, Xiang Li, Xihong Lin, Fred Kwon, Fiona J Gilbert, Josh Kaggie, Quanzheng Li, Abood Quraini, Andrew Feng, Andrew N Priest, Ismail Baris Turkbey, Benjamin Scott Glicksberg, Bernardo Canedo Bizzo, Byung Seok Kim, Carlos Tor-Diez, Chia-Cheng Lee, Chia-Jung Hsu, Chin Lin, Chiu-Ling Lai, Christopher Hess, Colin Compas, Deepi Bhatia, Eric Oermann, Evan Leibovitz, Hisashi Sasaki, Hitoshi Mori, Isaac Yang, Jae Ho Sohn, Krishna Nand Keshava Murthy, Li-Chen Fu, Matheus Ribeiro Furtado de Mendonça, Mike Fralick, Min Kyu Kang, Mohammad Adil, Natalie Gangai, Peerapon Vateekul, Pierre Elnajjar, Sarah Hickman, Sharmila Majumdar, Shelley McLeod, Sheridan Reed, Stefan Gräf, Stephanie A Harmon, Tatsuya Kodama, Thanyawee Puthanakit, Tony Mazzulli, Vitor de Lima Lavor, Yothin Rakvongthai, Yu Rim Lee, Yuhong Wen
Federated Learning used for predicting outcomes in SARS-COV-2 patients. Research square (2021)
Sulaiman S Somani, Hossein Honarvar, Sukrit Narula, Isotta Landi, Shawn Lee, Yeraz Khachatoorian, Arsalan Rehmani, Andrew Kim, Jessica K De Freitas, Shelly Teng, Suraj K Jaladanki, Arvind Kumar, Adam J Russak, Shan P Zhao, Robert Freeman, Matthew A Levin, Girish N Nadkarni, Alexander C Kagen, Edgar Argulian, Benjamin Scott Glicksberg
Development of a machine learning model using electrocardiogram signals to improve acute pulmonary embolism screening. European heart journal. Digital health 3 (1) (2021)
Vivek Ashok Rudrapatna, Benjamin Scott Glicksberg, Atul Janardhan Butte
Utility of routinely collected electronic health records data to support effectiveness evaluations in inflammatory bowel disease: a pilot study of tofacitinib. BMJ health & care informatics 28 (1) (2021)
Akhil Vaid, Suraj K Jaladanki, Jie Xu, Shelly Teng, Arvind Kumar, Samuel J Lee, Sulaiman S Somani, Ishan Paranjpe, Jessica K De Freitas, Tingyi Wanyan, Kipp W Johnson, Mesude Bicak, Eyal Klang, Young Joon Fred Kwon, Anthony Beardsworth Costa, Shan P Zhao, Riccardo Miotto, Alexander W Charney, Erwin P Böttinger, Zahi Adel Fayad, Girish Nitin Nadkarni, Fei Wang, Benjamin Scott Glicksberg
Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach. JMIR medical informatics 9 (1) (2021)
Suraj K Jaladanki, Akhil Vaid, Ashwin S Sawant, Jie Xu, Kush Shah, Sergio Dellepiane, Ishan Paranjpe, Lili Chan, Patricia Kovatch, Alexander W Charney, Fei Wang, Benjamin Scott Glicksberg, Karandeep S Singh, Girish Nitin Nadkarni
Development of a federated learning approach to predict acute kidney injury in adult hospitalized patients with COVID-19 in New York City. medRxiv : the preprint server for health sciences (2021)
Akhil Vaid, Lili Chan, Kumardeep Chaudhary, Suraj K Jaladanki, Ishan Paranjpe, Adam J Russak, Arash Kia, Prem Timsina, Matthew A Levin, John Cijiang He, Erwin P Böttinger, Alexander W Charney, Zahi A Fayad, Steven G Coca, Benjamin Scott Glicksberg, Girish N Nadkarni, null null
Predictive Approaches for Acute Dialysis Requirement and Death in COVID-19. Clinical journal of the American Society of Nephrology : CJASN 16 (8) (2021)
Felix Richter, Arielle S Strasser, Mayte Suarez-Farinas, Shan Zhao, Girish N Nadkarni, Ethylin Wang Jabs, Katherine Guttmann, Benjamin Scott Glicksberg
Neonatal outcomes during the COVID-19 pandemic in New York City. Pediatric research (2021)
Noam D Beckmann, Phillip H Comella, Esther Cheng, Lauren Lepow, Aviva G Beckmann, Scott R Tyler, Konstantinos Mouskas, Nicole W Simons, Gabriel E Hoffman, Nancy J Francoeur, Diane M Del Valle, Gurpawan Kang, Anh Do, Emily Moya, Lillian Wilkins, Jessica Le Berichel, Christie Chang, Robert Marvin, Sharlene Calorossi, Alona Lansky, Laura Walker, Nancy Yi, Alex Yu, Jonathan Chung, Matthew Hartnett, Melody Eaton, Sandra Hatem, Hajra Jamal, Alara Akyatan, Alexandra Tabachnikova, Lora E Liharska, Liam Cotter, Brian Fennessy, Akhil Vaid, Guillermo Barturen, Hardik Shah, Ying-Chih Wang, Shwetha Hara Sridhar, Juan Soto, Swaroop Bose, Kent Madrid, Ethan Ellis, Elyze Merzier, Konstantinos Vlachos, Nataly Fishman, Manying Tin, Melissa Smith, Hui Xie, Manishkumar Patel, Kai Nie, Kimberly Argueta, Jocelyn Harris, Neha Karekar, Craig Batchelor, Jose Lacunza, Mahlet Yishak, Kevin Tuballes, Ieisha Scott, Arvind Kumar, Suraj K Jaladanki, Charuta Agashe, Ryan C Thompson, Evan Clark, Bojan Losic, Lauren Peters, null null, Panagiotis Roussos, Jun Zhu, Wenhui Wang, Andrew Kasarskis, Benjamin Scott Glicksberg, Girish Nadkarni, Dusan Bogunovic, Cordelia Elaiho, Sandeep Gangadharan, George Ofori-Amanfo, Kasey Alesso-Carra, Kenan Onel, Karen M Wilson, Carmen A Argmann, Supinda Bunyavanich, Marta Eugenia Alarcón-Riquelme, Thomas U Marron, Adeeb Rahman, Seunghee Kim-Schulze, Sacha Gnjatic, Bruce D Gelb, Miriam Merad, Robert Sebra, Eric E Schadt, Alexander W Charney
Downregulation of exhausted cytotoxic T cells in gene expression networks of multisystem inflammatory syndrome in children. Nature communications 12 (1) (2021)
Robert P Hirten, Matteo Danieletto, Lewis E Tomalin, Katie Hyewon Choi, Micol Zweig, Eddye A Golden, Sparshdeep Kaur, Drew S Helmus, Anthony Biello, Renata Pyzik, Alexander W Charney, Riccardo Miotto, Benjamin Scott Glicksberg, Matthew A Levin, Ismail Nabeel, Judith A Aberg, David L Reich, Dennis S Charney, Erwin P Böttinger, Laurie Keefer, Mayte Suárez-Fariñas, Girish Nitin Nadkarni, Zahi Adel Fayad
Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study. Journal of medical Internet research 23 (2) (2021)
Ittai Dayan, Holger R Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Z Abidin, Andrew Liu, Anthony Beardsworth Costa, Bradford J Wood, Chien-Sung Tsai, Chih-Hung Wang, Chun-Nan Hsu, C K Lee, Peiying Ruan, Daguang Xu, Dufan Wu, Eddie Huang, Felipe Campos Kitamura, Griffin Lacey, Gustavo César de Antônio Corradi, Gustavo Nino, Hao-Hsin Shih, Hirofumi Obinata, Hui Ren, Jason C Crane, Jesse Tetreault, Jiahui Guan, John W Garrett, Joshua D Kaggie, Jung Gil Park, Keith Dreyer, Krishna Juluru, Kristopher Kersten, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Marius George Linguraru, Masoom A Haider, Meena AbdelMaseeh, Nicola Rieke, Pablo F Damasceno, Pedro Mario Cruz E Silva, Pochuan Wang, Sheng Xu, Shuichi Kawano, Sira Sriswasdi, Soo Young Park, Thomas M Grist, Varun Buch, Watsamon Jantarabenjakul, Weichung Wang, Won Young Tak, Xiang Li, Xihong Lin, Young Joon Kwon, Abood Quraini, Andrew Feng, Andrew N Priest, Ismail Baris Turkbey, Benjamin Scott Glicksberg, Bernardo Canedo Bizzo, Byung Seok Kim, Carlos Tor-Díez, Chia-Cheng Lee, Chia-Jung Hsu, Chin Lin, Chiu-Ling Lai, Christopher P Hess, Colin Compas, Deepeksha Bhatia, Eric K Oermann, Evan Leibovitz, Hisashi Sasaki, Hitoshi Mori, Isaac Yang, Jae Ho Sohn, Krishna Nand Keshava Murthy, Li-Chen Fu, Matheus Ribeiro Furtado de Mendonça, Mike Fralick, Min-Kyu Kang, Mohammad Adil, Natalie Gangai, Peerapon Vateekul, Pierre Elnajjar, Sarah Hickman, Sharmila Majumdar, Shelley L McLeod, Sheridan Reed, Stefan Gräf, Stephanie A Harmon, Tatsuya Kodama, Thanyawee Puthanakit, Tony Mazzulli, Vitor Lima de Lavor, Yothin Rakvongthai, Yu Rim Lee, Yuhong Wen, Fiona J Gilbert, Mona G Flores, Quanzheng Li
Federated learning for predicting clinical outcomes in patients with COVID-19. Nature medicine 27 (10) (2021)
Ishan Paranjpe, Kumardeep Chaudhary, Kipp W Johnson, Suraj K Jaladanki, Shan P Zhao, Jessica K De Freitas, Elisabet Pujadas, Fayzan F Chaudhry, Erwin P Böttinger, Matthew A Levin, Zahi Adel Fayad, Alexander W Charney, Jane Houldsworth, Carlos Cordon-Cardo, Benjamin Scott Glicksberg, Girish Nitin Nadkarni
Association of SARS-CoV-2 viral load at admission with in-hospital acute kidney injury: A retrospective cohort study. PloS one 16 (2) (2021)
Young Joon Fred Kwon, Danielle Toussie, Mark Finkelstein, Mario A Cedillo, Samuel Z Maron, Sayan Manna, Nicholas Voutsinas, Corey Eber, Adam Jacobi, Adam Bernheim, Yogesh Sean Gupta, Michael S Chung, Zahi Adel Fayad, Benjamin Scott Glicksberg, Eric Karl Oermann, Anthony Beardsworth Costa
Combining Initial Radiographs and Clinical Variables Improves Deep Learning Prognostication in Patients with COVID-19 from the Emergency Department. Radiology. Artificial intelligence 3 (2) (2020)
Adam J Russak, Farhan Chaudhry, Jessica K De Freitas, Garrett Baron, Fayzan F Chaudhry, Solomon Bienstock, Ishan Paranjpe, Akhil Vaid, Mohsin Ali, Shan Zhao, Sulaiman Somani, Felix Richter, Tejeshwar Bawa, Phillip D Levy, Riccardo Miotto, Girish N Nadkarni, Kipp W Johnson, Benjamin Scott Glicksberg
Machine Learning in Cardiology-Ensuring Clinical Impact Lives Up to the Hype. Journal of cardiovascular pharmacology and therapeutics 25 (5) (2020)
Lili Chan, Suraj K Jaladanki, Sulaiman Somani, Ishan Paranjpe, Arvind Kumar, Shan Zhao, Lewis Kaufman, Staci Leisman, Shuchita Sharma, John Cijiang He, Barbara Murphy, Zahi A Fayad, Matthew A Levin, Erwin P Bottinger, Alexander W Charney, Benjamin Scott Glicksberg, Steven G Coca, Girish N Nadkarni, null null
Outcomes of Patients on Maintenance Dialysis Hospitalized with COVID-19. Clinical journal of the American Society of Nephrology : CJASN 16 (3) (2020)
Alexandra E Livanos, Divya Jha, Francesca Cossarini, Ana Silvia Gonzalez-Reiche, Minami Tokuyama, Teresa A Aydillo Gomez, Tommaso Lorenzo Parigi, Irene Ramos, Katie Dunleavy, Brian Lee, Rebekah Dixon, Steven T Chen, Gustavo Martinez-Delgado, Satish Nagula, Huaibin Mabel Ko, Benjamin Scott Glicksberg, Girish Nitin Nadkarni, Elisabet Pujadas, Jason Reidy, Steven Naymagon, Ari M Grinspan, Jawad Ahmad, Michael Tankelevich, Ronald Gordon, Keshav Sharma, Jane Houldsworth, Graham J Britton, Alice Chen-Liaw, Matthew P Spindler, Tamar Plitt, Pei Wang, Andrea Cerutti, Jeremiah J Faith, Jean Frederic Colombel, Ephraim Kenigsberg, Carmen A Argmann, Miriam Merad, Sacha Gnjatic, Noam Harpaz, Silvio Danese, Carlos Cordon-Cardo, Adeeb H Rahman, Nikhil A Kumta, Alessio Aghemo, Francesca Petralia, Harm van Bakel, Adolfo García-Sastre, Saurabh Mehandru
Gastrointestinal involvement attenuates COVID-19 severity and mortality. medRxiv : the preprint server for health sciences (2020)
Vivek Ashok Rudrapatna, Benjamin Scott Glicksberg, Patrick Avila, Emily Harding-Theobald, Connie W Wang, Atul Janardhan Butte
Accuracy of medical billing data against the electronic health record in the measurement of colorectal cancer screening rates. BMJ open quality 9 (1) (2020)
Akhil Vaid, Sulaiman S Somani, Adam J Russak, Jessica K De Freitas, Fayzan F Chaudhry, Ishan Paranjpe, Kipp W Johnson, Samuel J Lee, Riccardo Miotto, Felix Richter, Shan P Zhao, Noam D Beckmann, Nidhi Naik, Arash Kia, Prem Timsina, Anuradha Lala, Manish D Paranjpe, Eddye A Golden, Matteo Danieletto, Manbir Singh, Dara Meyer, Paul F O'Reilly, Laura M Huckins, Patricia Kovatch, Joseph Finkelstein, Robert M Freeman, Edgar Argulian, Andrew Kasarskis, Bethany L Percha, Judith A Aberg, Emilia Bagiella, Carol R Horowitz, Barbara Murphy, Eric J Nestler, Eric E Schadt, Judy H Cho, Carlos Cordon-Cardo, Valentin Fuster, Dennis S Charney, David L Reich, Erwin P Böttinger, Matthew A Levin, Jagat Narula, Zahi Adel Fayad, Allan Carpenter Just, Alexander W Charney, Girish Nitin Nadkarni, Benjamin Scott Glicksberg
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation. Journal of medical Internet research 22 (11) (2020)
Lili Chan, Kumardeep Chaudhary, Aparna Saha, Kinsuk Chauhan, Akhil Vaid, Shan Zhao, Ishan Paranjpe, Sulaiman Somani, Felix Richter, Riccardo Miotto, Anuradha Lala, Arash Kia, Prem Timsina, Li Li, Robert M Freeman, Rong Chen, Jagat Narula, Allan C Just, Carol Horowitz, Zahi Fayad, Carlos Cordon-Cardo, Eric Schadt, Matthew A Levin, David L Reich, Valentin Fuster, Barbara Murphy, John C He, Alexander W Charney, Erwin P Böttinger, Benjamin Scott Glicksberg, Steven G Coca, Girish N Nadkarni, null null
AKI in Hospitalized Patients with COVID-19. Journal of the American Society of Nephrology : JASN 32 (1) (2020)
Benjamin Scott Glicksberg, Shohei T Burns, Robert Currie, Ann Griffin, Zhen Jane Wang, David Haussler, Theodore Goldstein, Eric A Collisson
Blockchain-Authenticated Sharing of Genomic and Clinical Outcomes Data of Patients With Cancer: A Prospective Cohort Study. Journal of medical Internet research 22 (3) (2020)
Kumardeep Chaudhary, Akhil Vaid, Áine Duffy, Ishan Paranjpe, Suraj K Jaladanki, Manish Paranjpe, Kipp W Johnson, Avantee Gokhale, Pattharawin Pattharanitima, Kinsuk Chauhan, Ross O'Hagan, Tielman T Van Vleck, Steven G Coca, Richard Cooper, Benjamin Scott Glicksberg, Erwin P Bottinger, Lili Chan, Girish N Nadkarni
Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury. Clinical journal of the American Society of Nephrology : CJASN 15 (11) (2020)
Alexander W Charney, Nicole W Simons, Konstantinos Mouskas, Lauren Lepow, Esther Cheng, Jessica Le Berichel, Christie Chang, Robert Marvin, Diane Marie Del Valle, Sharlene Calorossi, Alona Lansky, Laura Walker, Manishkumar Patel, Hui Xie, Nancy Yi, Alex Yu, Gurpawan Kang, Anthony Mendoza, Lora E Liharska, Emily Moya, Matthew Hartnett, Sandra Hatem, Lillian Wilkins, Melody Eaton, Hajra Jamal, Kevin Tuballes, Steven T Chen, Alexandra Tabachnikova, Jonathan Chung, Jocelyn Harris, Craig Batchelor, Jose Lacunza, Mahlet Yishak, Kimberly Argueta, Neha Karekar, Brian Lee, Geoffrey Kelly, Daniel Geanon, Diana Handler, John Leech, Hiyab Stefanos, Travis Dawson, Ieisha Scott, Nancy Francoeur, Jessica S Johnson, Akhil Vaid, Benjamin Scott Glicksberg, Girish N Nadkarni, Eric E Schadt, Bruce D Gelb, Adeeb Rahman, Robert Sebra, Glenn Martin, null null, Thomas Marron, Noam Beckmann, Seunghee Kim-Schulze, Sacha Gnjatic, Miriam Merad
Sampling the host response to SARS-CoV-2 in hospitals under siege. Nature medicine 26 (8) (2020)
Vijendra Ramlall, Phyllis M Thangaraj, Cem Meydan, Jonathan Foox, Daniel Butler, Jacob Kim, Ben May, Jessica K De Freitas, Benjamin Scott Glicksberg, Christopher E Mason, Nicholas P Tatonetti, Sagi D Shapira
Immune complement and coagulation dysfunction in adverse outcomes of SARS-CoV-2 infection. Nature medicine 26 (10) (2020)
Tingyi Wanyan, Akhil Vaid, Jessica K De Freitas, Sulaiman Somani, Riccardo Miotto, Girish N Nadkarni, Ariful Azad, Ying Ding, Benjamin Scott Glicksberg
Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit. IEEE transactions on big data 7 (1) (2020)
Riccardo Miotto, Bethany L Percha, Benjamin Scott Glicksberg, Hao-Chih Lee, Lisanne Cruz, Joel T Dudley, Ismail Nabeel
Identifying Acute Low Back Pain Episodes in Primary Care Practice From Clinical Notes: Observational Study. JMIR medical informatics 8 (2) (2020)
Ishan Paranjpe, Kumardeep Chaudhary, Manish Paranjpe, Ross O'Hagan, Sayan Manna, Suraj K Jaladanki, Arjun Kapoor, Carol Horowitz, Nicholas DeFelice, Richard Cooper, Benjamin Scott Glicksberg, Erwin P Bottinger, Allan C Just, Girish N Nadkarni
Association of APOL1 Risk Genotype and Air Pollution for Kidney Disease. Clinical journal of the American Society of Nephrology : CJASN 15 (3) (2020)
Billy Zeng, Benjamin Scott Glicksberg, Patrick A Newbury, Evgeny Chekalin, Jing Xing, Ke Liu, Anita Wen, Caven Chow, Bin Chen
OCTAD: an open workspace for virtually screening therapeutics targeting precise cancer patient groups using gene expression features. Nature protocols 16 (2) (2020)
Beau Norgeot, Kathleen Muenzen, Thomas A Peterson, Xuancheng Fan, Benjamin Scott Glicksberg, Gundolf Schenk, Eugenia Rutenberg, Boris Oskotsky, Marina Sirota, Jinoos Yazdany, Gabriela Schmajuk, Dana Ludwig, Theodore Goldstein, Atul Janardhan Butte
Protected Health Information filter (Philter): accurately and securely de-identifying free-text clinical notes. NPJ digital medicine 3 (2020)
Isotta Landi, Benjamin Scott Glicksberg, Hao-Chih Lee, Sarah Cherng, Giulia Landi, Matteo Danieletto, Joel T Dudley, Cesare Furlanello, Riccardo Miotto
Deep representation learning of electronic health records to unlock patient stratification at scale. NPJ digital medicine 3 (2020)
Beau Norgeot, Benjamin Scott Glicksberg, Atul Janardhan Butte
A call for deep-learning healthcare. Nature medicine 25 (1) (2019)
Surbhi Chamaria, Kipp W Johnson, Yuliya Vengrenyuk, Usman Baber, Khader Shameer, Aparna A Divaraniya, Benjamin Scott Glicksberg, Li Li, Samit Bhatheja, Pedro Moreno, Akiko Maehara, Roxana Mehran, Joel T Dudley, Jagat Narula, Samin K Sharma, Annapoorna S Kini
Intracoronary Imaging, Cholesterol Efflux, and Transcriptomics after Intensive Statin Treatment in Diabetes. Scientific reports 7 (1) (2017)

Benjamin Scott Glicksberg.css-eqlu8i{font-size:small;padding-left:4px;} (Benjamin S Glicksberg, Benjamin Glicksberg)

Publication Activity (10 Years)

Top Topics

Top Venues

Benjamin Scott Glicksberg (Benjamin S Glicksberg, Benjamin Glicksberg)