N. Tatonetti

Alexandre Yahi, Nicholas P. Tatonetti, N. Tatonetti, 2015, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Breast Cancer Screening Rates Among Family Members of Affected Relatives

David K. Vawdrey, Nicholas P. Tatonetti, Fernanda C. Polubriaginof, 2019, AMIA.

Chronic Condition Symptom Enrichment from Electronic Health Records

Suzanne Bakken, Nicholas P. Tatonetti, Theresa A. Koleck, 2019, AMIA.

Birth month affects lifetime disease risk: a phenome-wide method

George Hripcsak, Nicholas P. Tatonetti, Mary Regina Boland, 2015, J. Am. Medical Informatics Assoc..

Estimate of disease heritability using 7.4 million familial relationships inferred from electronic health records

S. Bakken, J. Dudley, D. Vawdrey, 2016, bioRxiv.

Using model classifications as quantitative traits to estimate stroke heritability

Kayla Quinnies, Rami Vanguri, Alexandre Yahi, 2018, AMIA.

Climate Classification is an Important Factor in Assessing Quality-of-Care Across Hospitals

Mary Regina Boland, Pierre Gentine, Nicholas P Tatonetti, 2017, Scientific Reports.

STORMSeq: An Open-Source, User-Friendly Pipeline for Processing Personal Genomics Data in the Cloud

Alicia R. Martin, K. Karczewski, J. Dudley, 2014, PloS one.

Genetic variants associated with warfarin dose in African-American individuals: a genome-wide association study

Yusuke Nakamura, Dan M Roden, Matthew Oetjens, 2013, The Lancet.

Monoamine Oxidase (MAO) Inhibitory Activity: 3‐Phenylcoumarins versus 4‐Hydroxy‐3‐phenylcoumarins

S. Vilar, E. Uriarte, N. Tatonetti, 2014, ChemMedChem.

Pharmacological inhibition of cystine–glutamate exchange induces endoplasmic reticulum stress and ferroptosis

Matthew E. Welsch, B. Stockwell, N. Tatonetti, 2014, eLife.

Immune complement and coagulation dysfunction in adverse outcomes of SARS-CoV-2 infection

Jessica K De Freitas, Phyllis M. Thangaraj, C. Mason, 2020, Nature Medicine.

Identification of Immune complement function as a determinant of adverse SARS-CoV-2 infection outcome

Jessica K De Freitas, Phyllis M. Thangaraj, Benjamin S. Glicksberg, 2020, medRxiv.

3D Pharmacophoric Similarity improves Multi Adverse Drug Event Identification in Pharmacovigilance

George Hripcsak, Nicholas P. Tatonetti, Santiago Vilar, 2015, Scientific Reports.

Serum exosomal protein profiling for the non-invasive detection of cardiac allograft rejection.

N. Tatonetti, E. Chen, A. Koller, 2017, The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation.

Tissue‐Specific Analysis of Pharmacological Pathways

N. Tatonetti, Ronald B. Realubit, Charles Karan, 2018, CPT: pharmacometrics & systems pharmacology.

Improving the Prediction of Pharmacogenes Using Text-Derived Gene-Drug Relationships

Russ B. Altman, Nicholas P. Tatonetti, Yael Garten, 2010, Pacific Symposium on Biocomputing.

A novel signal detection algorithm for identifying hidden drug-drug interactions in adverse event reports

Russ B. Altman, Nicholas P. Tatonetti, Guy Haskin Fernald, 2012, J. Am. Medical Informatics Assoc..

Comparative study of the 3-phenylcoumarin scaffold: Synthesis, X-ray structural analysis and semiempirical calculations of a selected series of compounds

S. Vilar, L. Santana, E. Uriarte, 2013 .

Testing the association between blood type and COVID-19 infection, intubation, and death

N. Tatonetti, M. Zietz, 2020, medRxiv.

Associations between blood type and COVID-19 infection, intubation, and death

N. Tatonetti, M. Zietz, J. Zucker, 2020, Nature Communications.

Automated Identification of Families in Electronic Health Records to Support Clinical Research

George Hripcsak, Suzanne Bakken, David K. Vawdrey, 2017, CRI.

Patient-provided Data Improves Race and Ethnicity Data Quality in Electronic Health Records

George Hripcsak, David K. Vawdrey, Adler J. Perotte, 2016, AMIA.

Impact of major bleeding on long-term mortality in anemic versus nonanemic patients undergoing percutaneous coronary intervention using bivalirudin.

Samin K. Sharma, T. Nazif, N. Tatonetti, 2014, The American journal of cardiology.

METHODS TO ENSURE THE REPRODUCIBILITY OF BIOMEDICAL RESEARCH.

J. Ioannidis, K. Karczewski, N. Tatonetti, 2017, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

Discovering therapeutic activities from venoms using differential gene expression

Joseph D. Romano, N. Tatonetti, Ronald B. Realubit, 2019, bioRxiv.

Mapping the effects of drugs on the immune system

Joel T Dudley, Nicholas P Tatonetti, Brian A Kidd, 2015, Nature Biotechnology.

Fine-scale genetic ancestry as a potential new tool for precision medicine.

N. Tatonetti, N. Elhadad, 2021, Nature medicine.

Association of Neighborhood Deprivation Index With Success in Cancer Care Crowdfunding

N. Tatonetti, C. Hur, E. Silver, 2020, JAMA network open.

Precision Medicine: Addressing the Challenges of Sharing, Analysis, and Privacy at Scale.

Alexander A. Morgan, M. Bulyk, S. Brenner, 2019, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

METHODS TO ENHANCE THE REPRODUCIBILITY OF PRECISION MEDICINE.

J. Ioannidis, I. Kohane, N. Gehlenborg, 2016, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

Deep learning on time series laboratory test results from electronic health records for early detection of pancreatic cancer

N. Tatonetti, C. Hur, Yoanna S. Pumpalova, 2022, J. Biomed. Informatics.

Session Introduction

J. Ioannidis, K. Karczewski, N. Tatonetti, 2016, PSB.

No Increased Risk of Colorectal Adenomas in Spouses of Patients with Colorectal Neoplasia.

A. Neugut, N. Tatonetti, B. Lebwohl, 2020, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

Melatonin is significantly associated with survival of intubated COVID-19 patients

N. Tatonetti, J. Zucker, V. Ramlall, 2020, medRxiv.

Shotgun Transcriptome and Isothermal Profiling of SARS-CoV-2 Infection Reveals Unique Host Responses, Viral Diversification, and Drug Interactions

Nicholas P. Tatonetti, Iman Hajirasouliha, Christopher E. Mason, 2020, bioRxiv.

Shotgun Transcriptome and Isothermal Profiling of SARS-CoV-2 Infection Reveals Unique Host Responses, Viral Diversification, and Drug Interactions

Jean Thierry-Mieg, Iman Hajirasouliha, Christopher E. Mason, 2020, bioRxiv.

A Pharmacovigilance Signaling System Based on FDA Regulatory Action and Post-Marketing Adverse Event Reports

N. Tatonetti, Keith B. Hoffman, M. Dimbil, 2016, Drug Safety.

Alterations in the kallikrein-kinin system predict death after heart transplant

P. Leprince, N. Tatonetti, J. Patel, 2022, Scientific reports.

No population left behind: Improving paediatric drug safety using informatics and systems biology

N. Tatonetti, N. Giangreco, Jonathan E Elias, 2020, British journal of clinical pharmacology.

LYMPHOID NEOPLASIA Silencing c-Myc translation as a therapeutic strategy through targeting PI3K d and CK1 « in hematological malignancies

B. Honig, N. Tatonetti, J. Vendôme, 2016 .

Mural Wnt/β-catenin signaling regulates Lama2 expression to promote neurovascular unit maturation.

N. Tatonetti, T. Cutforth, D. Agalliu, 2022, Development.

Pathway analysis of genome-wide data improves warfarin dose prediction

R. Altman, K. Karczewski, T. Klein, 2013, BMC Genomics.

An integrative method for scoring candidate genes from association studies: application to warfarin dosing

Russ B. Altman, Joel Dudley, Atul J. Butte, 2010, BMC Bioinformatics.

Improving the Prediction of Pharmacogenes Using Text-Derived Gene-Drug Relationships

Russ B. Altman, Nicholas P. Tatonetti, Yael Garten, 2010, Pacific Symposium on Biocomputing.

MAO Inhibitory Activity of 2‐Arylbenzofurans versus 3‐Arylcoumarins: Synthesis, in vitro Study, and Docking Calculations

S. Vilar, L. Santana, E. Uriarte, 2013, ChemMedChem.

Insight into the Functional and Structural Properties of 3‐Arylcoumarin as an Interesting Scaffold in Monoamine Oxidase B Inhibition

S. Vilar, L. Santana, E. Uriarte, 2014, ChemMedChem.

Novel (coumarin-3-yl)carbamates as selective MAO-B inhibitors: synthesis, in vitro and in vivo assays, theoretical evaluation of ADME properties and docking study.

S. Vilar, L. Santana, E. Uriarte, 2013, European journal of medicinal chemistry.

Insight into the Interactions between Novel Coumarin Derivatives and Human A3 Adenosine Receptors

S. Vilar, L. Santana, E. Uriarte, 2014, ChemMedChem.

Shotgun transcriptome, spatial omics, and isothermal profiling of SARS-CoV-2 infection reveals unique host responses, viral diversification, and drug interactions

Evan T. Sholle, M. Loda, C. Mason, 2021, Nature Communications.

Synthesis, pharmacological study and docking calculations of new benzo[f]coumarin derivatives as dual inhibitors of enzymatic systems involved in neurodegenerative diseases.

S. Vilar, L. Santana, E. Uriarte, 2014, Future medicinal chemistry.

Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort

Li Li, Riccardo Miotto, Kipp W. Johnson, 2017, PSB.

Silencing c-Myc Translation As a Therapeutic Strategy through Targeting PI3K Delta and CK1 Epsilon in Hematological Malignancies

B. Honig, N. Tatonetti, J. Vendôme, 2016 .

Connectivity Homology Enables Inter-Species Network Models of Synthetic Lethality

Nicholas P. Tatonetti, Scott J. Dixon, Alexandra Jacunski, 2015, PLoS Comput. Biol..

Genome Wide Analysis of Drug-Induced Torsades de Pointes: Lack of Common Variants with Large Effect Sizes

R. Altman, Yufeng Shen, Yusuke Nakamura, 2013, PloS one.

Cooperative transcription factor associations discovered using regulatory variation

R. Altman, K. Karczewski, N. Tatonetti, 2011, Proceedings of the National Academy of Sciences.

Longitudinal profiling of circulating miRNA during cardiac allograft rejection: a proof‐of‐concept study

T. Tuschl, N. Tatonetti, D. Mancini, 2021, ESC heart failure.

Investigation of 7-dehydrocholesterol reductase pathway to elucidate off-target prenatal effects of pharmaceuticals: a systematic review

N. Tatonetti, M. Boland, 2016, The Pharmacogenomics Journal.

Systemic Tissue and Cellular Disruption from SARS-CoV-2 Infection revealed in COVID-19 Autopsies and Spatial Omics Tissue Maps

Amanda M. Saravia-Butler, Deanne M. Taylor, M. Zody, 2021, bioRxiv.

System-wide transcriptome damage and tissue identity loss in COVID-19 patients

Amanda M. Saravia-Butler, Deanne M. Taylor, Christopher E. Mason, 2022, Cell Reports Medicine.

Snapshots of nascent RNA reveal cell- and stimulus-specific responses to acute kidney injury

N. Tatonetti, V. D’Agati, S. Sia, 2022, JCI insight.

A curated and standardized adverse drug event resource to accelerate drug safety research

Juan M Banda, Nigam H Shah, Nicholas P Tatonetti, 2016, Scientific Data.

Replicating Cardiovascular Condition-Birth Month Associations

Li Li, Riccardo Miotto, Nicholas P. Tatonetti, 2016, Scientific Reports.

Session Introduction: TOWARDS ETHICAL BIOMEDICAL INFORMATICS: LEARNING FROM OLELO NOEAU, HAWAIIAN PROVERBS.

S. Brenner, N. Tatonetti, D. Wall, 2022, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

Where Have All the Emergencies Gone? The Impact of the COVID-19 Pandemic on Obstetric and Gynecologic Procedures and Consults at a New York City Hospital

Zhezhen Jin, N. Tatonetti, C. Hur, 2020, Journal of Minimally Invasive Gynecology.

Development and validation of a classification approach for extracting severity automatically from electronic health records

G. Hripcsak, N. Tatonetti, M. Boland, 2015, J. Biomed. Semant..

Unique Transcriptional Programs Identify Subtypes of AKI.

N. Tatonetti, V. D’Agati, H. Erdjument-Bromage, 2017, Journal of the American Society of Nephrology : JASN.

Structured deep embedding model to generate composite clinical indices from electronic health records for early detection of pancreatic cancer

N. Tatonetti, C. Hur, Jiheum Park, 2022, Patterns.

EdiTyper: a high-throughput tool for analysis of targeted sequencing data from genome editing experiments

Alexandre Yahi, Nicholas P. Tatonetti, Pejman Mohammadi, 2020, bioRxiv.

Pathway analysis of genomic pathology tests for prognostic cancer subtyping

Chunhua Weng, Olga Lyudovyk, Yufeng Shen, 2019, J. Biomed. Informatics.

Interpretome: A Freely Available, Modular, and Secure Personal Genome Interpretation Engine

Russ B. Altman, Joel Dudley, Nicholas P. Tatonetti, 2011, Pacific Symposium on Biocomputing.

Columbia Open Health Data, clinical concept prevalence and co-occurrence from electronic health records

George Hripcsak, Chunhua Weng, Michel Dumontier, 2018, Scientific Data.

Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods

Nicholas P. Tatonetti, Tal Lorberbaum, Phyllis M. Thangaraj, 2019, BioData Mining.

Medical data and machine learning improve power of stroke genome-wide association studies

Nicholas P. Tatonetti, Phyllis M. Thangaraj, Undina Gisladottir, 2020, bioRxiv.

Uncovering exposures responsible for birth season – disease effects: a global study

Li Li, Phung Anh Nguyen, Yu-Chuan Li, 2017, J. Am. Medical Informatics Assoc..

Characterizing shared and distinct symptom clusters in common chronic conditions through natural language processing of nursing notes.

Theresa A. Koleck, A. Smaldone, N. Tatonetti, 2021, Research in nursing & health.

Challenges with quality of race and ethnicity data in observational databases

George Hripcsak, Adler Perotte, David K Vawdrey, 2019, J. Am. Medical Informatics Assoc..

A novel, rapid method to compare the therapeutic windows of oral anticoagulants using the Hill coefficient

N. Tatonetti, J. Rand, Ronald B. Realubit, 2016, Scientific Reports.

Medical records-based chronic kidney disease phenotype for clinical care and “big data” observational and genetic studies

Adelaide M. Arruda-Olson, G. Hripcsak, J. Denny, 2021, npj Digital Medicine.

Prediction of adverse drug reactions associated with drug-drug interactions using hierarchical classification

N. Tatonetti, Catherine Kim, 2021, bioRxiv.

In Search of ‘Birth Month Genes’: Using Existing Data Repositories to Locate Genes Underlying Birth Month-Disease Relationships

N. Tatonetti, M. Boland, 2016, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Predictions, Pivots, and a Pandemic: a Review of 2020's Top Translational Bioinformatics Publications

N. Tatonetti, Mary Lauren Benton, Maryam Tavakoli, 2021, Yearbook of Medical Informatics.

Molecular nephrology: types of acute tubular injury

N. Tatonetti, V. D’Agati, K. Kiryluk, 2019, Nature Reviews Nephrology.

Development of A Machine Learning Algorithm to Classify Drugs Of Unknown Fetal Effect

N. Tatonetti, Fernanda C G Polubriaginof, M. Boland, 2017, Scientific Reports.

A Marketplace for Health: Opportunities and Challenges for Biomedical Blockchains (Preprint)

J. Dudley, N. Tatonetti, Noah Zimmerman, 2019 .

Web-scale pharmacovigilance: listening to signals from the crowd

Ryen W. White, Eric Horvitz, Russ B. Altman, 2013, J. Am. Medical Informatics Assoc..

A Drug Safety Rating System Based on Postmarketing Costs Associated with Adverse Events and Patient Outcomes.

N. Tatonetti, Keith B. Hoffman, B. Overstreet, 2015, Journal of managed care & specialty pharmacy.

Silencing c-Myc translation as a therapeutic strategy through targeting PI3Kδ and CK1ε in hematological malignancies.

B. Honig, N. Tatonetti, J. Vendôme, 2017, Blood.

An Integrative Data Science Pipeline to Identify Novel Drug Interactions that Prolong the QT Interval

Nicholas P. Tatonetti, Tal Lorberbaum, N. Tatonetti, 2016, Drug Safety.

A database of pediatric drug effects to evaluate ontogenic mechanisms from child growth and development

N. Tatonetti, N. Tatonetti, N. Giangreco, 2021, medRxiv.

Evaluating risk detection methods to uncover ontogenic-mediated adverse drug effect mechanisms in children

N. Tatonetti, Nicholas P. Giangreco, 2021, medRxiv.

Stimulated Reporting: The Impact of US Food and Drug Administration-Issued Alerts on the Adverse Event Reporting System (FAERS)

N. Tatonetti, Keith B. Hoffman, Andrea Demakas, 2014, Drug Safety.

VenomKB, a new knowledge base for facilitating the validation of putative venom therapies

Joseph D. Romano, Nicholas P Tatonetti, Joseph D Romano, 2015, Scientific Data.

Identifying Symptom Information in Clinical Notes Using Natural Language Processing.

Theresa A. Koleck, S. Bakken, A. Smaldone, 2020, Nursing research.

Climate Classification is an Important Factor in Assessing Quality-of-Care Across Hospitals

N. Tatonetti, P. Gentine, M. Boland, 2017, Scientific Reports.

Coupling Data Mining and Laboratory Experiments to Discover Drug Interactions Causing QT Prolongation.

Tal Lorberbaum, Nicholas P Tatonetti, Raymond L Woosley, 2016, Journal of the American College of Cardiology.

George Hripcsak, Carol Friedman, Lourdes Santana, 2014, Nature Protocols.

Estimate of disease heritability using 7.4 million familial relationships inferred from electronic health records

S. Bakken, J. Dudley, D. Vawdrey, 2016, bioRxiv.

Low Rates of Screening for Celiac Disease Among Family Members

D. Vawdrey, N. Tatonetti, Fernanda C G Polubriaginof, 2019, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

Low Screening Rates for Diabetes Mellitus Among Family Members of Affected Relatives

George Hripcsak, David K. Vawdrey, Nicholas P. Tatonetti, 2018, AMIA.

An Assessment of Family History Information Captured in an Electronic Health Record

David K. Vawdrey, Fernanda Polubriaginof, Nicholas P. Tatonetti, 2015, AMIA.

E-Pedigrees: a large-scale automatic family pedigree prediction application

Xiayuan Huang, Scott J. Hebbring, Nicholas Tatonetti, 2021, Bioinform..

Achieving Trustworthy Biomedical Data Solutions

Bethany Percha, Peter Washington, Nicholas P. Tatonetti, 2020, PSB.

Procedure prediction from symbolic Electronic Health Records via time intervals analytics

Patrick B. Ryan, Fernanda Polubriaginof, Nicholas P. Tatonetti, 2017, J. Biomed. Informatics.

Prognosis of Clinical Outcomes with Temporal Patterns and Experiences with One Class Feature Selection

George Hripcsak, Nicholas P. Tatonetti, Hyunmi Choi, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Improving condition severity classification with an efficient active learning based framework

Yuval Shahar, George Hripcsak, Yuval Elovici, 2016, J. Biomed. Informatics.

Systems biology approaches for identifying adverse drug reactions and elucidating their underlying biological mechanisms

Mary Regina Boland, Joseph D. Romano, Tal Lorberbaum, 2016, Wiley interdisciplinary reviews. Systems biology and medicine.

Outcomes Prediction via Time Intervals Related Patterns

Fei Wang, George Hripcsak, Nicholas P. Tatonetti, 2015, 2015 IEEE International Conference on Data Mining.

Prediction of Clinical Procedures via Time Intervals Mining

Colin G. Walsh, G. Hripcsak, N. Tatonetti, 2014 .

The Weber Effect and the United States Food and Drug Administration’s Adverse Event Reporting System (FAERS): Analysis of Sixty-Two Drugs Approved from 2006 to 2010

N. Tatonetti, Keith B. Hoffman, B. Overstreet, 2014, Drug Safety.

PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model

Theodore C Goldstein, Riccardo Miotto, Marcus A. Badgeley, 2019, Bioinform..

ROMOP: a light-weight R package for interfacing with OMOP-formatted electronic health record data

Benjamin S. Glicksberg, Atul J. Butte, Nicholas P. Tatonetti, 2019, JAMIA open.

Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories pdf

Noémie Elhadad, Rami Vanguri, Alexandre Yahi, 2017, ArXiv.

Prevalence of progressive multifocal leukoencephalopathy (PML) in adults and children with systemic lupus erythematosus

N. Tatonetti, Kayla Quinnies, J. Hui-Yuen, 2020, Lupus Science and Medicine.

Bridging Islands of Information to Establish an Integrated Knowledge Base of Drugs and Health Outcomes of Interest

Christophe G. Lambert, Patrick B. Ryan, J. Marc Overhage, 2014, Drug Safety.

Predicting Phenotypic Polymyxin Resistance in Klebsiella pneumoniae through Machine Learning Analysis of Genomic Data

Nicholas P. Tatonetti, I. Pe’er, N. Tatonetti, 2020, mSystems.

Machine learning: novel bioinformatics approaches for combating antimicrobial resistance

N. Tatonetti, N. Macesic, Fernanda C. G. Polubriaginof, 2017, Current opinion in infectious diseases.

RecNW: A fast pairwise aligner for targeted sequencing

Alexandre Yahi, Nicholas P. Tatonetti, Pejman Mohammadi, 2018, bioRxiv.

Using Machine Learning to Identify Adverse Drug Effects Posing Increased Risk to Women

N. Tatonetti, P. Chandak, 2020, Patterns.

Predicting the genetic ancestry of 2.6 million New York City patients using clinical data

N. Tatonetti, R. Vanguri, T. Lorberbaum, 2019, bioRxiv.

Structural and functional cardiac profile after prolonged duration of mechanical unloading: potential implications for myocardial recovery.

N. Tatonetti, Z. Ali, S. Homma, 2018, American journal of physiology. Heart and circulatory physiology.

Immune complement and coagulation dysfunction in adverse outcomes of SARS-CoV-2 infection

Benjamin S. Glicksberg, N. Tatonetti, D. Butler, 2020, Nature Medicine.

Transfer learning from simulations improves the classification of OCT images of glandular epithelia

Nicholas P. Tatonetti, Sassan Ostvar, Han Truong, 2020, bioRxiv.

Predicting G protein-coupled receptor downstream signaling by tissue expression

Nicholas P. Tatonetti, Yun Hao, N. Tatonetti, 2016, Bioinform..

Plasma Metabolomics Predicts Chemotherapy Response in Advanced Pancreatic Cancer

Sarah J. Parker, N. Tatonetti, N. Bhowmick, 2023, Cancers.

Attention Deficit-Hyperactivity Disorder and Month of School Enrollment.

N. Tatonetti, M. Boland, 2019, The New England journal of medicine.

Toward a complete dataset of drug-drug interaction information from publicly available sources

Michel Dumontier, Mathias Brochhausen, Nicholas P. Tatonetti, 2015, J. Biomed. Informatics.

Are All Vaccines Created Equal? Using Electronic Health Records to Discover Vaccines Associated With Clinician-Coded Adverse Events

Mary Regina Boland, Nicholas P Tatonetti, N. Tatonetti, 2015, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Clinical Data: Sources and Types, Regulatory Constraints, Applications

Christopher G Chute, Casey Overby Taylor, Chunhua Weng, 2019, Clinical and translational science.

Repurposing the atypical antidepressant trazodone for atherosclerotic cardiovascular disease

Kipp W. Johnson, Fayzan F. Chaudhry, Milo R. Smith, 2021 .

G Hripcsak, M J Schuemie, D. Madigan, 2014, CPT: pharmacometrics & systems pharmacology.

Comparative analysis of EHR-based stroke phenotyping methods, their applications, and interpretation

Tal Lorberbaum, Phyllis Thangaraj, Benjamin Kummer, 2019 .

Ten Simple Rules to Enable Multi-site Collaborations through Data Sharing

Nicholas P. Tatonetti, Mary Regina Boland, Konrad J. Karczewski, 2017, PLoS Comput. Biol..

Simulating drug effects on blood glucose laboratory test time series with a conditional WGAN

A. Yahi, N. P. Tatonetti, N. Tatonetti, 2020, medRxiv.

Connecting the Dots: Applications of Network Medicine in Pharmacology and Disease

N. Tatonetti, N. Tatonetti, A Jacunski, 2013, Clinical pharmacology and therapeutics.

Reply: Combination Therapy With Ceftriaxone and Lansoprazole, Acquired Long QT Syndrome and Torsades de Pointes Risk.

N. Tatonetti, T. Lorberbaum, 2017, Journal of the American College of Cardiology.

Pediatric data from the All of Us research program: demonstration of pediatric obesity over time.

Andrea H. Ramirez, E. Boerwinkle, L. Ohno-Machado, 2021, JAMIA open.

Using a Novel Ontology to Inform the Discovery of Therapeutic Peptides from Animal Venoms

Joseph D. Romano, N. Tatonetti, 2016, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Columbia Open Health Data, clinical concept prevalence and co-occurrence from electronic health records

G. Hripcsak, N. Tatonetti, C. Weng, 2018, Scientific Data.

Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining

Li Li, Kipp W. Johnson, Benjamin S. Glicksberg, 2018, BMC Medical Informatics and Decision Making.

An Active Learning Framework for Efficient Condition Severity Classification

Yuval Shahar, George Hripcsak, Yuval Elovici, 2015, AIME.

Investigation of 7-dehydrocholesterol reductase pathway to elucidate off-target prenatal effects of pharmaceuticals: a systematic review

N. Tatonetti, M. Boland, 2016, The Pharmacogenomics Journal.

Predicting the Toxicity of Druggable Proteins to Human Tissues

N. Tatonetti, Yun Hao, P. Thangaraj, 2021, bioRxiv.

Author response: Pharmacological inhibition of cystine–glutamate exchange induces endoplasmic reticulum stress and ferroptosis

Matthew E. Welsch, B. Stockwell, N. Tatonetti, 2014 .

Mural norrin/β-catenin signaling regulates Lama2 expression to promote neurovascular unit assembly

N. Tatonetti, T. Cutforth, D. Agalliu, 2022, bioRxiv.

Host, Viral, and Environmental Transcriptome Profiles of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Authors:

Michael J. Zeitz, M. Loda, C. Mason, 2020 .

Systems biology approaches for identifying adverse drug reactions and elucidating their underlying biological mechanisms

Joseph D. Romano, N. Tatonetti, M. Boland, 2016, Wiley interdisciplinary reviews. Systems biology and medicine.

Disease Risk Factors Identified Through Shared Genetic Architecture and Electronic Medical Records

A. Butte, Rong Chen, J. Dudley, 2014, Science Translational Medicine.

Plasma kallikrein predicts primary graft dysfunction after heart transplant.

P. Leprince, N. Tatonetti, J. Patel, 2021, The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation.

In Search of ‘Birth Month Genes’: Using Existing Data Repositories to Locate Genes Underlying Birth Month-Disease Relationships

N. Tatonetti, M. Boland, 2016, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Identification of novel primary graft dysfunction biomarkers using exosome proteomics

N. Tatonetti, P. Colombo, B. Fine, 2017 .

Unique Transcriptional Programs Identify Subtypes of AKI.

N. Tatonetti, V. D’Agati, H. Erdjument-Bromage, 2017, Journal of the American Society of Nephrology : JASN.

Pathogen population structure can explain hospital outbreaks

D. Dykhuizen, L. Ginzburg, N. Tatonetti, 2017, The ISME Journal.

Web-scale pharmacovigilance: listening to signals from the crowd

Ryen W. White, E. Horvitz, R. Altman, 2013, J. Am. Medical Informatics Assoc..

Natural Language Processing Can Automate Extraction of Barrett’s Esophagus Endoscopy Quality Metrics

N. Tatonetti, N. Tatonetti, C. Weng, 2023, medRxiv.

Data science identifies novel drug interactions that prolong the QT interval

N. Tatonetti, K. Sampson, R. Kass, 2015, bioRxiv.

The Next Generation of Drug Safety Science: Coupling Detection, Corroboration, and Validation to Discover Novel Drug Effects and Drug–Drug Interactions

Nicholas P Tatonetti, N. Tatonetti, 2018, Clinical pharmacology and therapeutics.

ANTIRACIST AI: A MACHINE LEARNING MODEL USING ELECTROCARDIOGRAMS AND ECHOCARDIOGRAMS CAN DETECT TRANSTHYRETIN CARDIAC AMYLOIDOSIS AND DECREASE RACIAL BIAS IN DIAGNOSTIC TESTING

N. Tatonetti, M. Maurer, Tony Sun, 2023, Journal of the American College of Cardiology.

STORMSeq: An Open-Source, User-Friendly Pipeline for Processing Personal Genomics Data in the Cloud

Alicia R. Martin, K. Karczewski, J. Dudley, 2014, PloS one.

Insight into the Functional and Structural Properties of 3‐Arylcoumarin as an Interesting Scaffold in Monoamine Oxidase B Inhibition

S. Vilar, L. Santana, E. Uriarte, 2014, ChemMedChem.