Ahmed A Metwally (Ahmed Metwally)

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Venues

medRxiv : the preprint server for health sciences

Nature medicine

Science (New York, N.Y.)

Microbiome

Stanford University

University of Illinois at Chicago (PHD)

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

Affiliation History

Stanford University

United States

Postdoc Research Fellow :: Genetics

Education History

University of Illinois at Chicago

United States

PHD :: Bioengineering

University of Illinois at Chicago

United States

MSC :: Computer Science

Publications

Ahmed A Metwally, Dalia Perelman, Heyjun Park, Yue Wu, Alokkumar Jha, Seth Sharp, Alessandra Celli, Ekrem Ayhan, Fahim Abbasi, Anna L Gloyn, Tracey McLaughlin, Michael Snyder
Predicting Type 2 Diabetes Metabolic Phenotypes Using Continuous Glucose Monitoring and a Machine Learning Framework. medRxiv : the preprint server for health sciences (2024)
Heyjun Park, Ahmed A Metwally, Alireza Delfarah, Yue Wu, Dalia Perelman, Majid Rodgar, Caleb Mayer, Alessandra Celli, Tracey McLaughlin, Emmanuel Mignot, Michael Snyder
Lifestyle Profiling Using Wearables and Prediction of Glucose Metabolism in Individuals with Normoglycemia or Prediabetes. medRxiv : the preprint server for health sciences (2024)
Ahmed A Metwally, Dalia Perelman, Heyjun Park, Yue Wu, Alokkumar Jha, Seth Sharp, Alessandra Celli, Ekrem Ayhan, Fahim Abbasi, Anna L Gloyn, Tracey McLaughlin, Michael Snyder
Predicting Type 2 Diabetes Metabolic Phenotypes Using Continuous Glucose Monitoring and a Machine Learning Framework. medRxiv : the preprint server for health sciences (2024)
Ahmed A Metwally, Dalia Perelman, Heyjun Park, Yue Wu, Alokkumar Jha, Seth Sharp, Alessandra Celli, Ekrem Ayhan, Fahim Abbasi, Anna L Gloyn, Tracey McLaughlin, Michael Snyder
Predicting Type 2 Diabetes Metabolic Phenotypes Using Continuous Glucose Monitoring and a Machine Learning Framework. medRxiv : the preprint server for health sciences (2024)
Petko P Fiziev, Jeremy F McRae, Jacob C Ulirsch, Jacqueline S Dron, Tobias Hamp, Yanshen Yang, Pierrick Wainschtein, Zijian Ni, Joshua G Schraiber, Hong Gao, Dylan Cable, Yair Field, François Aguet, Marc Fasnacht, Ahmed A Metwally, Jeffrey Rogers, Tomas Marques-Bonet, Michael J Bamshad, Anne H O'Donnell-Luria, Amit V Khera, Kyle Kai-How Farh
Rare penetrant mutations confer severe risk of common diseases. Science (New York, N.Y.) 380 (6648) (2023)
Daniel Hornburg, Si Wu, Mahdi Moqri, Xin Zhou, Kevin Contrepois, Nasim Bararpour, Gavin M Traber, Baolong Su, Ahmed A Metwally, Monica Avina, Wenyu Zhou, Jessalyn M Ubellacker, Tejaswini Mishra, Sophia Miryam Schüssler-Fiorenza Rose, Paula B Kavathas, Kevin J Williams, Michael Paul Snyder
Dynamic lipidome alterations associated with human health, disease and ageing. Nature metabolism (2023)
Ahmed A Metwally, Tom Zhang, Si Wu, Ryan Kellogg, Wenyu Zhou, Kevin Contrepois, Hua Tang, Michael Paul Snyder
Robust identification of temporal biomarkers in longitudinal omics studies. Bioinformatics (Oxford, England) 38 (15) (2022)
Akshay Sanghi, Joshua J Gruber, Ahmed A Metwally, Lihua Jiang, Warren Reynolds, John B Sunwoo, Lisa Orloff, Howard Y Chang, Maya Kasowski, Michael Paul Snyder
Chromatin accessibility associates with protein-RNA correlation in human cancer. Nature communications 12 (1) (2021)
Arash Alavi, Gireesh K Bogu, Meng Wang, Ekanath Srihari Rangan, Andrew W Brooks, Qiwen Wang, Emily Higgs, Alessandra Celli, Tejaswini Mishra, Ahmed A Metwally, Kexin Cha, Peter Knowles, Amir A Alavi, Rajat Bhasin, Shrinivas Panchamukhi, Diego Celis, Tagore Aditya, Alexander Honkala, Benjamin Rolnik, Erika M Hunting, Orit Dagan-Rosenfeld, Arshdeep Chauhan, Jessi W Li, Caroline Bejikian, Vandhana Krishnan, Lettie McGuire, Xiao Li, Amir Bahmani, Michael Paul Snyder
Real-time alerting system for COVID-19 and other stress events using wearable data. Nature medicine (2021)
Ahmed A Metwally, Philip S Yu, Derek Reiman, Yang Dai, Patricia W Finn, David L Perkins
Utilizing longitudinal microbiome taxonomic profiles to predict food allergy via Long Short-Term Memory networks. PLoS computational biology 15 (2) (2019)
Ahmed A Metwally, Jie Yang, Christian Ascoli, Yang Dai, Patricia W Finn, David L Perkins
MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitudinal studies. Microbiome 6 (1) (2018)

Ahmed A Metwally.css-eqlu8i{font-size:small;padding-left:4px;} (Ahmed Metwally)

Publication Activity (10 Years)

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Ahmed A Metwally (Ahmed Metwally)