Sai Nikhila Ghanta
Fellow Physician
faculty
COM | Housestaff Residents
Research Areas
Biography and Research Information
OverviewAI-generated summary
Sai Nikhila Ghanta's research interests include the application of machine learning and artificial intelligence in cardiovascular medicine, particularly in the context of heart failure management and device therapy. Ghanta has investigated the use of wearables and remote monitoring for heart failure patients and explored contemporary machine learning applications for device therapy. Additionally, Ghanta's work has examined updates on therapies for patients with chronic kidney disease (CKD), including the role of platelets, inflammation, and purinergic receptors in CKD progression. Ghanta has also conducted systematic reviews and meta-analyses on therapeutic interventions, such as the efficacy and safety of remdesivir for COVID-19 treatment and the immunogenicity of COVID-19 booster vaccines. Other research areas include molecular insights into ischemia-reperfusion injury in coronary artery disease and the presentation of scurvy. Ghanta has a h-index of 8 and has authored 22 publications, with 212 citations.
Metrics
- h-index: 9
- Publications: 27
- Citations: 223
Selected Publications
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Late-Onset Pericardial Effusion and Device Extrusion After Left Atrial Appendage Occluder Implantation (2025)
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Contemporary Practices for Management of Subclinical Atrial Fibrillation (2025)
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Molecular Insights into Ischemia–Reperfusion Injury in Coronary Artery Disease: Mechanisms and Therapeutic Implications: A Comprehensive Review (2025)
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Obesity and Cardiovascular-Kidney-Metabolic Health (2025)
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Applications of ChatGPT in Heart Failure Prevention, Diagnosis, Management, and Research: A Narrative Review (2024)
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Platelets, inflammation, and purinergic receptors in chronic kidney disease (2024)
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The Interplay of Thiamine and Cardiovascular Diseases (2024)
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A RARE CAUSE OF PULMONARY ARTERY ANEURYSM IN A MIDDLE-AGED ADULT WITH CONGENITAL HEART DISEASE - A CASE REPORT AND LITERATURE REVIEW (2024)
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Response to [Challenging the Restrictive Approach: Reconsidering SGLT-2 Inhibitor Use in CKD] (2024)
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Immunogenicity, clinical efficacy and safety of additional second COVID‐19 booster vaccines against Omicron and its subvariants: A systematic review (2024)
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Inappropriate Subcutaneous Implantable Cardioverter-defibrillator Shocks—A Rare Case of Triple Counting (2023)
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Updates on New Therapies for Patients with CKD (2023)
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Carcinoid Heart Disease – A Review of Pathophysiology, Clinical Manifestations, Diagnosis and Management (2023)
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B-lymphoblastic leukemia/lymphoma with MYC and BCL2 gene rearrangements shows evidence for clonal evolution and mitotic recombination (2023)
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Machine Learning for Predicting Intubations in Heart Failure Patients: the Challenge of the Right Approach (2023)
Collaboration Network
Top Collaborators
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Contemporary Applications of Machine Learning for Device Therapy in Heart Failure
- The Interplay of Thiamine and Cardiovascular Diseases
- Machine Learning for Predicting Intubations in Heart Failure Patients: the Challenge of the Right Approach
- Contemporary Practices for Management of Subclinical Atrial Fibrillation
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Contemporary Applications of Machine Learning for Device Therapy in Heart Failure
- Applications of ChatGPT in Heart Failure Prevention, Diagnosis, Management, and Research: A Narrative Review
- Machine Learning for Predicting Intubations in Heart Failure Patients: the Challenge of the Right Approach
- Carcinoid Heart Disease – A Review of Pathophysiology, Clinical Manifestations, Diagnosis and Management
- Inappropriate Subcutaneous Implantable Cardioverter-defibrillator Shocks—A Rare Case of Triple Counting
- Late-Onset Pericardial Effusion and Device Extrusion After Left Atrial Appendage Occluder Implantation
- S2751 Correlation of Epicardial Fat Thickness With Vibration-Controlled Transient Elastography—Continued Attenuation Parameter in Veterans With MASLD
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Updates on New Therapies for Patients with CKD
- Response to [Challenging the Restrictive Approach: Reconsidering SGLT-2 Inhibitor Use in CKD]
- Updates on New Therapies for Patients with CKD
- Molecular Insights into Ischemia–Reperfusion Injury in Coronary Artery Disease: Mechanisms and Therapeutic Implications: A Comprehensive Review
- Applications of ChatGPT in Heart Failure Prevention, Diagnosis, Management, and Research: A Narrative Review
- Updates on New Therapies for Patients with CKD
- Platelets, inflammation, and purinergic receptors in chronic kidney disease
- Response to [Challenging the Restrictive Approach: Reconsidering SGLT-2 Inhibitor Use in CKD]
- Inappropriate Subcutaneous Implantable Cardioverter-defibrillator Shocks—A Rare Case of Triple Counting
- Contemporary Practices for Management of Subclinical Atrial Fibrillation
- Late-Onset Pericardial Effusion and Device Extrusion After Left Atrial Appendage Occluder Implantation
- The safety, tolerability and mortality reduction efficacy of remdesivir; based on randomized clinical trials, observational and case studies reported safety outcomes: an updated systematic review and meta-analysis
- Immunogenicity, clinical efficacy and safety of additional second COVID‐19 booster vaccines against Omicron and its subvariants: A systematic review
- The safety, tolerability and mortality reduction efficacy of remdesivir; based on randomized clinical trials, observational and case studies reported safety outcomes: an updated systematic review and meta-analysis
- Immunogenicity, clinical efficacy and safety of additional second COVID‐19 booster vaccines against Omicron and its subvariants: A systematic review
- Contemporary Applications of Machine Learning for Device Therapy in Heart Failure
- The Interplay of Thiamine and Cardiovascular Diseases
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Contemporary Applications of Machine Learning for Device Therapy in Heart Failure
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Contemporary Applications of Machine Learning for Device Therapy in Heart Failure
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Contemporary Applications of Machine Learning for Device Therapy in Heart Failure
- The Interplay of Thiamine and Cardiovascular Diseases
- Machine Learning for Predicting Intubations in Heart Failure Patients: the Challenge of the Right Approach
- Updates on New Therapies for Patients with CKD
- Platelets, inflammation, and purinergic receptors in chronic kidney disease
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