Genome sequences of the primary endosymbiont Candidatus Portiera aleyrodidarum in the whitefly Bemisia tabaci B and Q biotypes
Published in Journal of Bacteriology, 2012
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publications
Comparison of the genome sequences of Candidatus Portiera aleyrodidarum primary endosymbionts of the whitefly Bemisia tabaci B and Q biotypes
Published in Applied Environmental Microbiology, 2013
Medical student preparedness for an era of personalized medicine: findings from one US medical school
Published in Personalized Medicine, 2016
PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT
Published in Proceedings of the Pacific Symposium on Biocomputing, 2016
Intracoronary Imaging, Cholesterol Efflux, and Transcriptomes After Intensive Statin Treatment: The YELLOW II Study
Published in Journal of the American College of Cardiology, 2016
Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning
Published in Briefings in Bioinformatics, 2017
Enabling Precision Cardiology Through Multiscale Biology and Systems Medicine
Published in JACC: Basic and Translational Science, 2017
Intracoronary Imaging, Cholesterol Efflux, and Transcriptomics after Intensive Statin Treatment in Diabetes
Published in Scientific Reports, 2017
Automated disease cohort selection using word embeddings from Electronic Health Records
Published in Proceedings of the Pacific Symposium on Biocomputing, 2017
Causal inference on electronic health records to assess blood pressure treatment targets: an application of the parametric g formula
Published in Proceedings of the Pacific Symposium on Biocomputing, 2017
Machine learning in cardiovascular medicine: are we there yet?
Published in Heart, 2018
The next generation of precision medicine: observational studies, electronic health records, biobanks and continuous monitoring
Published in Human Molecular Genetics, 2018
Artificial Intelligence in Cardiology
Published in Journal of the American College of Cardiology, 2018
A Network-Biology Informed Computational Drug Repositioning Strategy to Target Disease Risk Trajectories and Comorbidities of Peripheral Artery Disease
Published in AMIA Summits in Translational Science, 2018
A 72-Year-Old Patient with Longstanding, Untreated Familial Hypercholesterolemia but no Coronary Artery Calcification: A Case Report
Published in Cureus, 2018
The whole is greater than the sum of its parts: combining classical statistical and machine intelligence methods in medicine
Published in Heart, 2018
Association of Hemoglobin A1c Levels With Use of Sulfonylureas, Dipeptidyl Peptidase 4 Inhibitors, and Thiazolidinediones in Patients With Type 2 Diabetes Treated With Metformin
Published in JAMA Network Open, 2018
Incidence and aetiology of bacterial meningitis among children aged 1-59 months in South Asia: systematic review and meta-analysis
Published in Vaccine, 2018
Pathology of Peripheral Artery Disease in Critical Limb Ischemia
Published in Journal of the American College of Cardiology, 2018
Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining
Published in BMC Medical Informatics and Decision Making, 2018
Big data, artificial intelligence, and cardiovascular precision medicine
Published in Expert Review of Precision Medicine and Drug Development, 2018
Conditions and factors associated with spontaneous coronary artery dissection (from a national population-based cohort study)
Published in The American Journal of Cardiology, 2018
Evaluation of patient re-identification using laboratory test orders and mitigation via latent space variables
Published in Proceedings of the Pacific Symposium on Biocomputing, 2019
Prevalence, Presentation, and Associated Conditions of Patients With Fibromuscular Dysplasia.
Published in JACC Cardiovascular Imaging, 2019
Precision Medicine for Aortic Stenosis: The Future of Cardiology Today
Published in JACC Cardiovascular Imaging, 2019
Deep learning for cardiovascular medicine: a practical primer
Published in European Heart Journal, 2019
How artificial intelligence could redefine clinical trials in cardiovascular medicine: lessons learned from oncology
Published in Personalized Medicine, 2019
A transcriptomic model to predict increase in fibrous cap thickness in response to high-dose statin treatment: Validation by serial intracoronary OCT imaging.
Published in EBioMedicine, 2019
Sepsis in the era of data-driven medicine: personalizing risks, diagnoses, treatments and prognoses.
Published in Briefings in Bioinformatics, 2019
Integrative analysis of loss-of-function variants in clinical and genomic data reveals novel genes associated with cardiovascular traits.
Published in BMC Medical Genomics, 2019
Racial and sex differences in stroke risk in patients with atrial fibrillation
Published in Journal of the American College of Cardiology, 2019
Integrating blockchain technology with artificial intelligence for cardiovascular medicine
Published in Nature Reviews Cardiology, 2020
Predictors of In-Hospital Mortality after Transcatheter Aortic Valve Implantation
Published in American Journal of Cardiology, 2020
Reccurent spontaneous coronary artery dissection in the United States
Published in International Journal of Cardiology, 2020
Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network.
Published in Nature Medicine, 2020
Machine Learning in Cardiology-Ensuring Clinical Impact Lives Up to the Hype
Published in Journal of Cardiovascular Pharmacology and Therapeutics, 2020
Molecular Imaging of Cardiac Allograft Rejection: Targeting Apoptosis With Radiolabeled Duramycin
Published in JACC Cardiovascular Imaging, 2020
Prevalence and Impact of Myocardial Injury in Patients Hospitalized with COVID-19 Infection
Published in Journal of the American College of Cardiology, 2020