World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
100
Citations
57644
World Ranking
1482
National Ranking
843

Medicine

D-Index
108
Citations
66432
World Ranking
5880
National Ranking
3150

Research.com Recognitions

  • 2019 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Atul J. Butte is affiliated with the University of California, San Francisco in the United States. Their research primarily focuses on the field of medicine, with a significant emphasis on artificial intelligence and its applications in healthcare.

Their work spans various subfields within medicine, including:

  • Artificial Intelligence
  • Molecular Biology
  • Health Informatics
  • Infectious Diseases
  • Cardiology and Cardiovascular Medicine

Key topics explored in their publications cover:

  • Machine Learning in Healthcare
  • Artificial Intelligence in Healthcare and Education
  • Topic Modeling
  • Biomedical Text Mining and Ontologies
  • COVID-19 Clinical Research Studies
  • SARS-CoV-2 and COVID-19 Research
  • Single-cell and spatial transcriptomics

Atul J. Butte has co-authored numerous papers with frequent collaborators such as:

  • Vivek A. Rudrapatna
  • Travis Zack
  • Brenda Y. Miao
  • Madhumita Sushil
  • Rohit Vashisht

The scientist has contributed extensively to various publication venues, including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • npj Digital Medicine
  • JAMA
  • JAMA Network Open

Some of the most recent publications authored or co-authored by Atul J. Butte include:

  • "Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist," 2020, Nature Medicine
  • "Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study," 2023, The Lancet Digital Health
  • "The Promise of Digital Health: Then, Now, and the Future," 2022, NAM Perspectives
  • "Ethical and regulatory challenges of large language models in medicine," 2024, The Lancet Digital Health
  • "Opportunities and challenges in using real-world data for health care," 2020, Journal of Clinical Investigation

Atul J. Butte was awarded the Fellowship of the Indian National Academy of Engineering (INAE) in 2019.

Best Publications

  • xCell: digitally portraying the tissue cellular heterogeneity landscape

    Dvir Aran;Zicheng Hu;Atul J. Butte

  • Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage

    Dvir Aran;Agnieszka P. Looney;Leqian Liu;Esther Wu

  • Pan-cancer analysis of whole genomes

    Peter J. Campbell;Gad Getz;Jan O. Korbel;Joshua M. Stuart

  • Coordinated reduction of genes of oxidative metabolism in humans with insulin resistance and diabetes: Potential role of PGC1 and NRF1

    Mary Elizabeth Patti;Atul J. Butte;Sarah Crunkhorn;Kenneth Cusi

  • Scalable and accurate deep learning with electronic health records

    Alvin Rajkomar;Alvin Rajkomar;Eyal Oren;Kai Chen;Andrew M. Dai

  • Scalable and accurate deep learning for electronic health records

    Alvin Rajkomar;Eyal Oren;Kai Chen;Andrew M. Dai

  • Ten years of pathway analysis: current approaches and outstanding challenges.

    Purvesh Khatri;Marina Sirota;Marina Sirota;Atul J. Butte;Atul J. Butte

  • Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes

    Rui Chen;George I. Mias;Jennifer Li-Pook-Than;Lihua Jiang

  • Mutual information relevance networks: functional genomic clustering using pairwise entropy measurements.

    A J Butte;I S Kohane

  • Variation in the Human Immune System Is Largely Driven by Non-Heritable Influences

    Petter Brodin;Petter Brodin;Vladimir Jojic;Tianxiang Gao;Sanchita Bhattacharya

  • Systematic pan-cancer analysis of tumour purity

    Dvir Aran;Marina Sirota;Atul J. Butte

  • Patterns of somatic structural variation in human cancer genomes

    Yilong Li;Nicola D Roberts;Jeremiah A Wala;Jeremiah A Wala;Ofer Shapira;Ofer Shapira

  • Discovery and Preclinical Validation of Drug Indications Using Compendia of Public Gene Expression Data

    Marina Sirota;Joel T. Dudley;Joel T. Dudley;Jeewon Kim;Annie P. Chiang;Annie P. Chiang

  • Discovering functional relationships between RNA expression and chemotherapeutic susceptibility using relevance networks

    Atul J. Butte;Pablo Tamayo;Donna Slonim;Todd R. Golub

  • Clinical assessment incorporating a personal genome

    Euan A Ashley;Atul J Butte;Matthew T Wheeler;Rong Chen

  • The use and analysis of microarray data

    Atul Butte

  • FoxO3 regulates neural stem cell homeostasis

    Valérie M. Renault;Victoria A. Rafalski;Alex A. Morgan;Alex A. Morgan;Dervis A.M. Salih

  • ImmPort: disseminating data to the public for the future of immunology

    Sanchita Bhattacharya;Sandra Andorf;Linda Gomes;Patrick Dunn

  • Computational Repositioning of the Anticonvulsant Topiramate for Inflammatory Bowel Disease

    Joel T. Dudley;Marina Sirota;Marina Sirota;Mohan Shenoy;Reetesh K. Pai

  • Analysis of matched mRNA measurements from two different microarray technologies

    Winston Patrick Kuo;Tor Kristian Jenssen;Atul J. Butte;Lucila Ohno-Machado

Frequent Co-Authors

Joel T. Dudley
Joel T. Dudley Icahn School of Medicine at Mount Sinai
Isaac S. Kohane
Isaac S. Kohane Harvard University
Purvesh Khatri
Purvesh Khatri Stanford University
Mark M. Davis
Mark M. Davis Stanford University
Michael Snyder
Michael Snyder Stanford University
Euan A. Ashley
Euan A. Ashley Stanford University
Carlos Bustamante
Carlos Bustamante Stanford University
Russ B. Altman
Russ B. Altman Stanford University
David K. Stevenson
David K. Stevenson Stanford University
Julien Sage
Julien Sage Stanford University

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