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Ekanath Srihari Rangan on Muck Rack

Ekanath Srihari Rangan

As seen in: Nature, PLOS, Cell Press, Cell Reports Medicine
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Articles

A comparison of deep multiomics profiles across ethnicity, geography, and age

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By Nasim Barapour, John Cao, Yue Wu, Shubham Gupta, Michael R. Hoopmann, Rui Qin, Mukul K. Midha, Myriam Mireault, Pablo Juanes-Velasco, Casey Hanson, Sara Ahadi, Emily Higgs, David Baxter Verified, Christian Diener, Orit Dagan-Rosenfeld, Daniel Hornburg, Fredrik Edfors, Stephanie Church Verified, Mohan Babu, Christopher Jin, Shannon Rego, Lettie McGuire, Thomas V. Karathanos, Daniel J. Panyard, Martín Parra, Aubrey Roberts, Ekanath Srihari Rangan, Melanie Ashland, Kevin Castillo, Gavin M. Traber, Matthew Ellenberger, Ryan Kellogg, Wenyu Zhou, Hannes Röst, Martin Kjellberg, Tejaswini Mishra, Charu Kapil, Ulrike Kusebauch, Sushmita Patwardhan, Alicia Landeira-Viñuela, Ángela-Patricia Hernández, Maliha Mashkoor, Tea Dodig-Crnkovic, Annika Bendes, Leo Dahl, Sean Gibbons, P. Venkat Rangan, Allan Stensballe, Jochen Schwenk, Richard Unwin, Manuel Fuentes, Lekha Sleno, Robert L. Moritz, Lara K. Mahal, Michael Snyder, Songjie Che, Durga Thota, Tristan Chou, Monika Avina, Jessi W. Li, Amarnath K. Ranjit, Mikkel Eggert Thomsen, Thanadol Sutantiwanichkul
| Cell Press Verified
Results Following the study design (Figure 1A; Table S1; STAR Methods), we collected samples across multiple continents during annual meetings of HUPO between 2016 and 2019. Sampling occurred at five sites, including a pilot cohort in Massachusetts (n = 31), followed by Taiwan (n = 106), Ireland (n = 113), and Florida (n = 87). An additional collection in California (n = 41) expanded the US cohort (Figures 1A, 1B, and S1A–S1E). Figure 1 Study design and demographics (A) Overview of hPOP study.
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An encyclopedia of the cord blood metabolome reveals maternal-fetal interactions and disease risk

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By Samuel Christopher Lancaster, Samson Mataraso, Jonathan Reiss, Kévin Contrepois, Basil Michael, Ian Simms, Michelle Gibson, Max Clary, Lettie McGuire, Frank Wong, Ethan Canfield, Daniel Cotter, TAO WANG, Ramesh Nair, Prabhakar Krishnan, Jonathan Bernstein, David Stevenson, Tina Cowan, Ekanath Srihari Rangan, Nima Aghaeepour, Maya Kasowski, Karl G. Sylvester, Michael Snyder Verified, Casandra A. Trowbridge, Matthew Ellenberger, P. Venkat Rangan, Ylayaly Katherine Bianco
| Cell Reports Medicine Verified
ArticleOnline now102548Open access 1Department of Genetics, Stanford University School of Medicine, 240 Pasteur Drive, Palo Alto, CA 94304, USA 2Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA 94305, USA 3Department of Biomedical Data Science, Stanford University School of Medicine, 1265 Welch Road, Stanford, CA 94305, USA 4Department of Pediatrics, Stanford University School of Medicine, 725 Welch Road,...
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Longitudinal wearable sensor data enhance precision of Long COVID detection

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By Chibuike Uwakwe, Ekanath Srihari Rangan, Georg Gutjahr, Satyajit Kumar
| PLOS
Citation: Uwakwe CK, Rangan ES, Kumar S, Gutjahr G, Miao X, Brooks AW, et al. (2025) Longitudinal wearable sensor data enhance precision of Long COVID detection. PLOS Digit Health 4(11): e0001093. https://doi.org/10.1371/journal.pdig.0001093 Editor: Mohsen Khosravi, Birjand University of Medical Sciences, IRAN, ISLAMIC REPUBLIC OF Received: March 23, 2025; Accepted: October 30, 2025; Published: November 20, 2025 Copyright: © 2025 Uwakwe et al.
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