
Doctor Harshawardhan Dhanraj Ramteke
Chimur (India)
Membership:
ESC Professional Member
Biography
Dr. Harshawardhan Ramteke is a physician-scientist and medical researcher specializing in cardiovascular medicine, clinical epidemiology, systematic reviews, meta-analyses, network meta-analyses, and artificial intelligence in healthcare. He is the Founder and Director of Researchmore Publications and leads collaborative clinical research across cardiology and other medical specialties. His expertise includes evidence synthesis, clinical trial methodology, real-world evidence, risk-of-bias assessment, and advanced biostatistics using Stata, R, SPSS, and JASP. His research focuses on heart failure, coronary artery disease, structural heart disease, electrophysiology, pulmonary arterial hypertension, cardiometabolic disorders, and AI-driven cardiovascular risk prediction. Dr. Ramteke is committed to advancing evidence-based medicine through international collaborations, high-quality research, and innovation. Outside research, he enjoys endurance running, technology, entrepreneurship,
Contributor content
Presentation
Exercise right ventricular–pulmonary artery coupling reserve by 3D echocardiography predicts early HFpEF progression
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A multimodal explainable ai model integrating electrocardiographic signatures and left atrial strain to predict atrial fibrillation recurrence after catheter ablation
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Renal dysfunction drives recurrence and modifies safety after atrial fibrillation ablation: a contemporary retrospective analysis of CKD stage and energy source interaction
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Artificial intelligence–driven three-vessel OCT quantification identifies the vulnerable patient and predicts 1-year outcomes in acute coronary syndromes
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Impact of continuous positive airway pressure therapy for obstructive sleep apnea on atrial fibrillation recurrence following catheter ablation: a comprehensive systematic review and meta-analysis
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Comparative LDL-C Reduction and Cardiovascular Outcomes With PCSK9-Pathway Therapies: A Systemic Review and Network Meta-Analysis
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Externally validated AI-driven multimodal prediction of progression from Stage B (asymptomatic LV dysfunction) to overt heart failure: incremental prognostic value of GLS and NT-proBNP
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