tomiko oskotsky

University of California, San Francisco

United States

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Articles (20)

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2020

Collaborators (19)

Jaimie Henderson

Professor

Stanford University School of Medicine

UNITED STATES

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Momsen Reincke

Charité - Universitätsmedizin Berlin

GERMANY

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Caroline Jonson

University of California, San Francisco

UNITED STATES

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Judith Ashouri

Assistant Professor

University of California, San Francisco

UNITED STATES

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Connie Wing Yan Ha

University of California, San Francisco

UNITED STATES

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William Mantyh

University of Minnesota

UNITED STATES

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Boris Oskotsky

University of California, San Francisco

UNITED STATES

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Dyani Gaudilliere

Clinical Assistant Professor, Chief of Dental Medicine & Surgery

Stanford University

UNITED STATES

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Jonathan L Golob

Fred Hutchinson Cancer Research Center

UNITED STATES

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Marina Sirota

UNITED STATES

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Jonathan Reiss

Stanford University

UNITED STATES

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Jacquelyn Roger

University of California, San Francisco

UNITED STATES

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Tal Korem

Assistant Professor

Columbia University Irving Medical Center

UNITED STATES

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Karla Lindquist

Head of Data Science

UCSF Medical Center

UNITED STATES

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Clara Sava-Segal

Dartmouth College

UNITED STATES

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Feng Xie

Assistant Professor

University of Minnesota Twin Cities

UNITED STATES

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Paul Nuyujukian

Assistant Professor

Stanford University

UNITED STATES

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Misha Zilberter

Karolinska Institutet

SWEDEN

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Jennifer Sequoia

Stanford University

UNITED STATES

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tomiko oskotsky

Research Interests

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Articles (20)

AI-guided precision parenteral nutrition for neonatal intensive care units

Author Correction: AI-guided precision parenteral nutrition for neonatal intensive care units

Harnessing EHR data for health research

Identifying therapeutic candidates for endometriosis through a transcriptomics-based drug repositioning approach

A scalable platform for acquisition of high-fidelity human intracranial EEG with minimal clinical burden

Discovery of sparse, reliable omic biomarkers with Stabl

Leveraging electronic health records and knowledge networks for Alzheimer’s disease prediction and sex-specific biological insights

Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research

Endometriosis in the era of precision medicine and impact on sexual and reproductive health across the lifespan and in diverse populations

Similarities and differences in Alzheimer’s dementia comorbidities in racialized populations identified from electronic medical records

Data-driven longitudinal characterization of neonatal health and morbidity

MaLiAmPi enables generalizable and taxonomy-independent microbiome features from technically diverse 16S-based microbiome studies

Deep phenotyping of Alzheimer’s disease leveraging electronic medical records identifies sex-specific clinical associations

Nurturing diversity and inclusion in AI in Biomedicine through a virtual summer program for high school students

Experimental and real-world evidence supporting the computational repurposing of bumetanide for APOE4-related Alzheimer’s disease

Cross-Tissue Transcriptomic Analysis Leveraging Machine Learning Approaches Identifies New Biomarkers for Rheumatoid Arthritis

Decreased Mortality Rate Among COVID-19 Patients Prescribed Statins: Data From Electronic Health Records in the US

Drugs in COVID-19 Clinical Trials: Predicting Transporter-Mediated Drug-Drug Interactions Using In Vitro Assays and Real-World Data

Transcriptomics-based drug repositioning pipeline identifies therapeutic candidates for COVID-19

Deep posteromedial cortical rhythm in dissociation

Collaborators (19)

Jaimie Henderson

Momsen Reincke

Caroline Jonson

Judith Ashouri

Connie Wing Yan Ha

William Mantyh

Boris Oskotsky

Dyani Gaudilliere

Jonathan L Golob

Marina Sirota

Jonathan Reiss

Jacquelyn Roger

Tal Korem

Karla Lindquist

Clara Sava-Segal

Feng Xie

Paul Nuyujukian

Misha Zilberter

Jennifer Sequoia

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