Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Riccardo Miotto"'
Autor:
Sarah T. Cherng, Riccardo Miotto, Benjamin S. Glicksberg, Cesare Furlanello, Hao-Chih Lee, Matteo Danieletto, Giulia Landi, Isotta Landi, Joel T. Dudley
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-11 (2020)
NPJ Digital Medicine
NPJ Digital Medicine
Deriving disease subtypes from electronic health records (EHRs) can guide next-generation personalized medicine. However, challenges in summarizing and representing patient data prevent widespread practice of scalable EHR-based stratification analysi
Autor:
Ariful Azad, Benjamin S. Glicksberg, Ying Ding, Jessica K De Freitas, Akhil Vaid, Sulaiman Somani, Tingyi Wanyan, Riccardo Miotto, Girish N. Nadkarni
Publikováno v:
IEEE transactions on big data
Traditional Machine Learning (ML) models have had limited success in predicting Coronoavirus-19 (COVID-19) outcomes using Electronic Health Record (EHR) data partially due to not effectively capturing the inter-connectivity patterns between various d
Publikováno v:
npj Digital Medicine, Vol 1, Iss 1, Pp 1-7 (2018)
NPJ Digital Medicine
NPJ Digital Medicine
Inexpensive embedded computing and the related Internet of Things technologies enable the recent development of smart products that can respond to human needs and improve everyday tasks in an attempt to make traditional environments more “intellige
Publikováno v:
Jamia Open
ObjectivesTraditionally, summarization of research themes and trends within a given discipline was accomplished by manual review of scientific works in the field. However, with the ushering in of the age of “big data,” new methods for discovery o
Autor:
Katie Hyewon Choi, Drew Helmus, Renata Pyzik, Sparshdeep Kaur, Erwin P. Bottinger, Micol Zweig, Benjamin S. Glicksberg, Riccardo Miotto, Ismail Nabeel, Dennis S. Charney, Anthony Biello, Laurie Keefer, Mayte Suárez-Fariñas, David Reich, Eddye Golden, Zahi A. Fayad, Matteo Danieletto, Lewis Tomalin, Girish N. Nadkarni, Judith A. Aberg, Matthew A. Levin, Robert Hirten, Alexander W. Charney
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 2, p e26107 (2021)
Journal of Medical Internet Research
Journal of Medical Internet Research
Background Changes in autonomic nervous system function, characterized by heart rate variability (HRV), have been associated with infection and observed prior to its clinical identification. Objective We performed an evaluation of HRV collected by a
Autor:
Francesca Cossarini, Keith Sigel, Benjamin S. Glicksberg, Paz Polak, Eddye Golden, Miriam Merad, Stephanie Factor, Michael P. Mullen, Saurabh Mehandru, Alexander W. Charney, Tinaye Mutetwa, Erwin P. Bottinger, Felix Richter, Talia H. Swartz, Sacha Gnjatic, Zahi A. Fayad, Jessica K De Freitas, Judith A. Aberg, Shan Zhao, Riccardo Miotto, Sulaiman Somani, Girish N. Nadkarni, Ishan Paranjpe
Publikováno v:
Clinical Infectious Diseases
BackgroundThere are limited data regarding the clinical impact of coronavirus disease 2019 (COVID-19) on people living with human immunodeficiency virus (PLWH). In this study, we compared outcomes for PLWH with COVID-19 to a matched comparison group.
Publikováno v:
PSB
Constructing gene regulatory networks is a critical step in revealing disease mechanisms from transcriptomic data. In this work, we present NO-BEARS, a novel algorithm for estimating gene regulatory networks. The NO-BEARS algorithm is built on the ba
Autor:
Martijn J. Schuemie, Pierre Gentine, Sean D. Mooney, Pradipta Parhi, George Hripcsak, Riccardo Miotto, Donahue Smith, Patrick B. Ryan, Robert J. Carroll, Usman Iqbal, Rae Woong Park, Josh C. Denny, Li Li, Nicholas P. Tatonetti, Seng Chan You, Yu-Chuan Jack Li, Mary Regina Boland, Joel T. Dudley, Phung Anh Nguyen
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
Objective Birth month and climate impact lifetime disease risk, while the underlying exposures remain largely elusive. We seek to uncover distal risk factors underlying these relationships by probing the relationship between global exposure variance
Autor:
Yongzhong Zhao, Mark E. Curran, Hardik Shah, Mary Beth Humphrey, Jeremiah J. Faith, Eunjee Lee, Arthur Mortha, Lauren A. Peters, Bojan Losic, Anuk Das, Brian A. Kidd, Eric M. Neiman, Sean R. Llewellyn, Radu Dobrin, Panos Roussos, Riccardo Miotto, Teresa K. Tarrant, Joshua R. Friedman, Antonio Fabio Di Narzo, Khader Shameer, Won-Min Song, Jun Zhu, Bin Zhang, Carmen Argmann, Eric E. Schadt, Alina Iuga, Carrie Brodmerkel, Jacqueline Perrigoue, Lloyd Mayer, Andrew Kasarskis, Yoshinori Fukui, Aleksandar Stojmirović, Jocelyn Sendecki, Brian M. Iritani, Shannon Telesco, Minghui Wang, Nicholas E.S. Sibinga, Ke Hao
Publikováno v:
Nature genetics
A major challenge in inflammatory bowel disease (IBD) is the integration of diverse IBD data sets to construct predictive models of IBD. We present a predictive model of the immune component of IBD that informs causal relationships among loci previou
Publikováno v:
Briefings in Bioinformatics. 19:1236-1246
Gaining knowledge and actionable insights from complex, high-dimensional and heterogeneous biomedical data remains a key challenge in transforming health care. Various types of data have been emerging in modern biomedical research, including electron