| scholarly article | Q13442814 |
| P50 | author | Kipp W. Johnson | Q52812470 |
| Benjamin S Glicksberg | Q56344761 | ||
| P2093 | author name string | Joel T Dudley | |
| Partho P Sengupta | |||
| Khader Shameer | |||
| Johan L M Björkegren | |||
| Jason C Kovacic | |||
| Ben Readhead | |||
| P2860 | cites work | Five years of GWAS discovery | Q24610574 |
| Clinical assessment incorporating a personal genome | Q24612653 | ||
| The failure of torcetrapib: what have we learned? | Q24652526 | ||
| Evolution of biological complexity | Q24679232 | ||
| Precision medicine in NSCLC and pathology: how does ALK fit in the pathway? | Q26738390 | ||
| The impact of genome-wide association studies on the pathophysiology and therapy of cardiovascular disease | Q26748869 | ||
| Colchicine and the heart: pushing the envelope | Q27001634 | ||
| Genome-wide association studies of late-onset cardiovascular disease | Q27012711 | ||
| Shifting from the single to the multitarget paradigm in drug discovery | Q27144242 | ||
| Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data | Q27301054 | ||
| Genomic medicine--an updated primer | Q27691437 | ||
| Network biology: understanding the cell's functional organization | Q27861027 | ||
| Ockham's razor for the MET-driven invasive growth linking idiopathic pulmonary fibrosis and cancer | Q28067777 | ||
| Genome-wide significant loci: how important are they? Systems genetics to understand heritability of coronary artery disease and other common complex disorders | Q28082561 | ||
| Quinupristin/dalfopristin: a therapeutic review | Q28202172 | ||
| DeepChrome: deep-learning for predicting gene expression from histone modifications | Q28223334 | ||
| The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data | Q28266682 | ||
| Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study | Q28281870 | ||
| Network pharmacology: the next paradigm in drug discovery | Q28297997 | ||
| Multi-target strategies for the improved treatment of depressive states: Conceptual foundations and neuronal substrates, drug discovery and therapeutic application | Q28300751 | ||
| Multi-target drugs: the trend of drug research and development | Q28480888 | ||
| EHDViz: clinical dashboard development using open-source technologies | Q28601874 | ||
| The eSNV-detect: a computational system to identify expressed single nucleotide variants from transcriptome sequencing data | Q28649714 | ||
| The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future | Q28674604 | ||
| Systems biology approaches to adverse drug effects: the example of cardio-oncology | Q38606067 | ||
| Drug repurposing in oncology--patient and health systems opportunities. | Q38611707 | ||
| The ATXN2-SH2B3 locus is associated with peripheral arterial disease: an electronic medical record-based genome-wide association study | Q29417153 | ||
| A new initiative on precision medicine | Q29615654 | ||
| Interactome networks and human disease | Q29615773 | ||
| 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the Eighth Joint National Committee (JNC 8) | Q29617334 | ||
| Forecasting the future of cardiovascular disease in the United States: a policy statement from the American Heart Association | Q30080021 | ||
| Medical student preparedness for an era of personalized medicine: findings from one US medical school | Q30151843 | ||
| Precision medicine in cardiology | Q30249224 | ||
| Using recurrent neural network models for early detection of heart failure onset. | Q30358244 | ||
| Computational and experimental advances in drug repositioning for accelerated therapeutic stratification | Q30487562 | ||
| Clinical implications of chronic heart failure phenotypes defined by cluster analysis | Q30604593 | ||
| Unsupervised feature construction and knowledge extraction from genome-wide assays of breast cancer with denoising autoencoders | Q30616727 | ||
| Incorporating a Genetic Risk Score Into Coronary Heart Disease Risk Estimates: Effect on Low-Density Lipoprotein Cholesterol Levels (the MI-GENES Clinical Trial) | Q30731532 | ||
| Visual analytics in healthcare education: exploring novel ways to analyze and represent big data in undergraduate medical education | Q30874069 | ||
| Multidimensional endotypes of asthma: topological data analysis of cross-sectional clinical, pathological, and immunological data. | Q30990302 | ||
| Topological data analysis for discovery in preclinical spinal cord injury and traumatic brain injury. | Q31004909 | ||
| Big data analytics to improve cardiovascular care: promise and challenges | Q31062479 | ||
| Topological Data Analysis Generates High-Resolution, Genome-wide Maps of Human Recombination | Q31110726 | ||
| An electronic clinical decision support tool to assist primary care providers in cardiovascular disease risk management: development and mixed methods evaluation | Q33575307 | ||
| Pharmaco-miR: linking microRNAs and drug effects | Q33920265 | ||
| Insights into Protein Sequence and Structure-Derived Features Mediating 3D Domain Swapping Mechanism using Support Vector Machine Based Approach. | Q33983023 | ||
| Discovery and preclinical validation of drug indications using compendia of public gene expression data | Q33995422 | ||
| Understanding protein-nanoparticle interaction: a new gateway to disease therapeutics. | Q34025939 | ||
| Antihypertensive medication classes used among medicare beneficiaries initiating treatment in 2007-2010. | Q34084060 | ||
| History of the design of captopril and related inhibitors of angiotensin converting enzyme | Q34097139 | ||
| The design and rationale of a multicenter clinical trial comparing two strategies for control of systolic blood pressure: the Systolic Blood Pressure Intervention Trial (SPRINT) | Q34145516 | ||
| Phenomics: the next challenge | Q34150453 | ||
| Drug-repositioning screening identified piperlongumine as a direct STAT3 inhibitor with potent activity against breast cancer | Q34276296 | ||
| Shared decision-making in the medical encounter: what does it mean? (or it takes at least two to tango). | Q34416426 | ||
| The precision medicine initiative: a new national effort | Q34474452 | ||
| Trimethoprim-sulfamethoxazole revisited | Q34648327 | ||
| AHA Guidelines for Primary Prevention of Cardiovascular Disease and Stroke: 2002 Update: Consensus Panel Guide to Comprehensive Risk Reduction for Adult Patients Without Coronary or Other Atherosclerotic Vascular Diseases. American Heart Association | Q34741065 | ||
| Genomic medicine--a primer | Q34992066 | ||
| Effective diagnosis of genetic disease by computational phenotype analysis of the disease-associated genome | Q35237812 | ||
| Cardiovascular Comorbidities Relate More than Others with Disease Activity in Rheumatoid Arthritis | Q35891702 | ||
| Drug response prediction by inferring pathway-response associations with kernelized Bayesian matrix factorization | Q38748583 | ||
| Heart Failure Update: Diagnosis and Classification | Q38773646 | ||
| Pharmacogenetics of Lipid-Lowering Agents: Precision or Indecision Medicine? | Q38780996 | ||
| The Next Era: Deep Learning in Pharmaceutical Research | Q38823933 | ||
| Pleiotropic effects of statins: new therapeutic targets in drug design | Q38825843 | ||
| Cholesteryl Ester Transfer Protein Inhibitors: Trials and Tribulations | Q38832478 | ||
| Moving beyond regression techniques in cardiovascular risk prediction: applying machine learning to address analytic challenges | Q38902965 | ||
| Cholesteryl Ester Transfer Protein Inhibition Is Not Yet Dead--Pro | Q38911754 | ||
| Deep Learning in Drug Discovery. | Q38918718 | ||
| Lung cancer: current therapies and new targeted treatments | Q38940816 | ||
| Genetics and Genomics of Coronary Artery Disease | Q38944185 | ||
| Cardiovascular precision medicine: hope or hype? | Q38995650 | ||
| Evolving biomarkers improve prediction of long-term mortality in patients with stable coronary artery disease: the BIO-VILCAD score | Q39135665 | ||
| Machine-Learning Algorithms to Automate Morphological and Functional Assessments in 2D Echocardiography | Q39156139 | ||
| Digital mammographic tumor classification using transfer learning from deep convolutional neural networks | Q39407913 | ||
| Multiparametric Non-Negative Matrix Factorization for Longitudinal Variations Detection in White-Matter Fiber Bundles. | Q39499411 | ||
| Prolongation of survival in congestive cardiomyopathy by beta-receptor blockade | Q39550779 | ||
| Recent Trends in Cardiovascular Mortality in the United States and Public Health Goals | Q39580505 | ||
| Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance. | Q39596050 | ||
| Escaping the EHR Trap — The Future of Health IT | Q39603584 | ||
| Cost-effectiveness of pharmacogenetic-guided dosing of warfarin in the United Kingdom and Sweden | Q39703517 | ||
| Opportunities for the Cardiovascular Community in the Precision Medicine Initiative | Q39877605 | ||
| PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability | Q39879045 | ||
| The Impact of Biochemical Markers on Major Adverse Cardiovascular Events and Contralateral Carotid Artery Stenosis Progression Following Carotid Interventions | Q40613045 | ||
| Cardiometabolic risk loci share downstream cis- and trans-gene regulation across tissues and diseases. | Q40615674 | ||
| Healthcare and the information age: implications for medical education | Q40860303 | ||
| Network medicine in disease analysis and therapeutics | Q41890269 | ||
| The effect of carvedilol on morbidity and mortality in patients with chronic heart failure. U.S. Carvedilol Heart Failure Study Group | Q42556789 | ||
| The US Cancer Moonshot initiative | Q45036066 | ||
| 3dswap-pred: Prediction of 3D Domain Swapping from Protein Sequence Using Random Forest Approach | Q45961910 | ||
| Cost-effectiveness of pharmacogenetics-guided warfarin therapy vs. alternative anticoagulation in atrial fibrillation. | Q46008192 | ||
| Developing New Treatments for Heart Failure: Focus on the Heart | Q48115739 | ||
| Back to the future: improving the use of guidelines-recommended coronary disease secondary prevention at the dawn of the precision medicine era. | Q48528410 | ||
| Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease | Q48593607 | ||
| Oncology Nurses and the Cancer Moonshot 2020. | Q48612847 | ||
| The heterogeneity of heart failure: will enhanced phenotyping be necessary for future clinical trial success? | Q48694284 | ||
| The role of serum levels of microRNA-21 and matrix metalloproteinase-9 in patients with acute coronary syndrome | Q51535970 | ||
| Association of Soluble Fibrinogen-like Protein 2 with the Severity of Coronary Artery Disease | Q51540421 | ||
| Whole exome sequencing implicates an INO80D mutation in a syndrome of aortic hypoplasia, premature atherosclerosis, and arterial stiffness | Q52652833 | ||
| Plasma MicroRNA-126-5p is Associated with the Complexity and Severity of Coronary Artery Disease in Patients with Stable Angina Pectoris | Q52982596 | ||
| Decline in Rates of Death and Heart Failure in Acute Coronary Syndromes, 1999-2006 | Q57243464 | ||
| The effect of beta adrenergic blockade on patterns of urinary sodium excretion. Studies in normal subjects and in patients with heart disease | Q72846401 | ||
| Cyclic-GMP-Binding, Cyclic-GMP-Specific Phosphodiesterase (PDE5) Gene Expression Is Regulated during Rat Pulmonary Development | Q74220192 | ||
| Realism in drug discovery—could Cassandra be right? | Q77317501 | ||
| Medication nonadherence is associated with a broad range of adverse outcomes in patients with coronary artery disease | Q80969615 | ||
| Modern management of acute myocardial infarction | Q84289643 | ||
| Translating the effects of statins: from redox regulation to suppression of vascular wall inflammation | Q84749257 | ||
| Planning for US Precision Medicine Initiative underway | Q85489836 | ||
| Challenges and opportunities of drug repositioning | Q86587232 | ||
| Pharmacogenetic-guided selection of warfarin versus novel oral anticoagulants for stroke prevention in patients with atrial fibrillation: a cost-effectiveness analysis | Q86606402 | ||
| Applying cluster analysis to data of previously published chronic heart failure trials | Q87000142 | ||
| Systems biology and clinical phenotypes of heart failure syndrome | Q87000143 | ||
| Reply: applying cluster analysis to data of previously published chronic heart failure trials: systems biology and clinical phenotypes of heart failure syndrome | Q87000146 | ||
| Cost-effectiveness of hypertension therapy according to 2014 guidelines | Q87165889 | ||
| The emergence of cardiovascular imaging as a subspecialty and individualized treatment of coronary artery disease: two related trends | Q95801973 | ||
| Sildenafil in the treatment of pulmonary hypertension | Q36013070 | ||
| Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks | Q36053748 | ||
| A Multimodal Data Analysis Approach for Targeted Drug Discovery Involving Topological Data Analysis (TDA). | Q36057399 | ||
| DL-ADR: a novel deep learning model for classifying genomic variants into adverse drug reactions | Q36100724 | ||
| Serum levels of mitochondrial inhibitory factor 1 are independently associated with long-term prognosis in coronary artery disease: the GENES Study | Q36110734 | ||
| Classification of breast cancer patients using somatic mutation profiles and machine learning approaches. | Q36121092 | ||
| Predictive computational phenotyping and biomarker discovery using reference-free genome comparisons. | Q36145457 | ||
| GWASdb v2: an update database for human genetic variants identified by genome-wide association studies | Q36435017 | ||
| Sildenafil: from angina to erectile dysfunction to pulmonary hypertension and beyond. | Q36554423 | ||
| Identification of type 2 diabetes subgroups through topological analysis of patient similarity | Q36659399 | ||
| Multi-target therapeutics: when the whole is greater than the sum of the parts | Q36697412 | ||
| In silico methods for drug repurposing and pharmacology | Q36837816 | ||
| Cross-Tissue Regulatory Gene Networks in Coronary Artery Disease | Q36865220 | ||
| Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records. | Q36906830 | ||
| Genetic loci associated with ideal cardiovascular health: A meta-analysis of genome-wide association studies | Q36918961 | ||
| Pathogenesis of essential hypertension: historical paradigms and modern insights | Q37094953 | ||
| Bioinformatics and medical informatics: collaborations on the road to genomic medicine? | Q37101286 | ||
| Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases | Q37161047 | ||
| Polygenic overlap between schizophrenia risk and antipsychotic response: a genomic medicine approach | Q37170587 | ||
| Predicting the risk of cardiovascular comorbidities in adult cancer survivors | Q37247981 | ||
| The digital revolution in phenotyping | Q37284033 | ||
| Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension | Q37324554 | ||
| A genome- and phenome-wide association study to identify genetic variants influencing platelet count and volume and their pleiotropic effects | Q37432574 | ||
| Cognitive Machine-Learning Algorithm for Cardiac Imaging: A Pilot Study for Differentiating Constrictive Pericarditis From Restrictive Cardiomyopathy | Q37660478 | ||
| Clues toward precision medicine in oral squamous cell carcinoma: utility of next-generation sequencing for the prognostic stratification of high-risk patients harboring neck lymph node extracapsular extension | Q37665255 | ||
| The pleiotropic effects of the hydroxy-methyl-glutaryl-CoA reductase inhibitors in cardiovascular disease: a comprehensive review | Q37798424 | ||
| The productivity crisis in pharmaceutical R&D. | Q37883027 | ||
| Pharmacogenetics and cost-effectiveness analysis: a two-way street | Q37929355 | ||
| Pleiotropic Effects of Statins: The Role of Eicosanoid Production | Q37979644 | ||
| Drug repositioning for Alzheimer's disease. | Q38057607 | ||
| Social Network Analysis: Foundations and Frontiers on Advantage | Q38071130 | ||
| The disconnect between phase II and phase III trials of drugs for heart failure | Q38072257 | ||
| Coronary stents: historical development, current status and future directions | Q38093501 | ||
| Cardiovascular drug development: is it dead or just hibernating? | Q38424497 | ||
| An integrative pipeline for multi-modal discovery of disease relationships | Q38467857 | ||
| Biomarkers of Coronary Artery Disease Differ Between Asians and Caucasians in the General Population | Q38503734 | ||
| P433 | issue | 3 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | translational bioinformatics | Q7834541 |
| precision medicine | Q17075943 | ||
| P304 | page(s) | 311-327 | |
| P577 | publication date | 2017-06-26 | |
| P1433 | published in | JACC. Basic to Translational Science | Q27727237 |
| P1476 | title | Enabling Precision Cardiology Through Multiscale Biology and Systems Medicine | |
| P478 | volume | 2 |
| Q55257457 | A Network-Biology Informed Computational Drug Repositioning Strategy to Target Disease Risk Trajectories and Comorbidities of Peripheral Artery Disease. |
| Q92280999 | A transcriptomic model to predict increase in fibrous cap thickness in response to high-dose statin treatment: Validation by serial intracoronary OCT imaging |
| Q92877426 | Artificial Intelligence: Practical Primer for Clinical Research in Cardiovascular Disease |
| Q91879187 | Deep learning cardiac motion analysis for human survival prediction |
| Q64039509 | Exploiting machine learning for end-to-end drug discovery and development |
| Q92409586 | Relevance of Multi-Omics Studies in Cardiovascular Diseases |
| Q90019228 | The 'Digital Twin' to enable the vision of precision cardiology |
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