Journal of Artificial Intelligence and Digital Health

Dr. Gayathri Ananthakrishnan earned a Bachelor of Cardiac Science from the Birla Institute of Technology and Science, Pilani, in collaboration with the MMM Institute of Cardiovascular Disease in India. She later completed a Master of Public Health at Idaho State University in the United States. Over the next decade, she built an extensive research career in North America, serving as a research scientist at the University of Cincinnati and the University of Alberta, where her work focused on cardiovascular metabolism, obesity, and pediatric sickle cell anemia. Dr. Ananthakrishnan subsequently earned a Doctor of Public Health degree with a specialization in cardiovascular research from the Alfred Nobel Business School in Zurich, Switzerland. She currently serves as a teaching and research faculty member in Switzerland, concentrating on AI-driven tools for cardiovascular disease and digital health transformation. With more than 15 years of research experience, she remains committed to advancing medical science, mentoring students, and addressing global disease burdens as a Public Health Consultant.

• Digital Health Transformation & Health Technology Assessment
• Public Health Reforms & Health Policy
• Environmental and Nano-Toxicology
• Nutritional Biochemistry & Clinical Nutrition
• Molecular Biology & Gene Expression Analysis
• Clinical Trials, GCP Compliance & Study Design
• Epidemiology & Biostatistics
• Diagnostics & Disease Screening Tools
• Health Promotion & Prevention Strategies

• Teaching doctoral and master’s courses in Epidemiology, GCP, Leadership, Health Technology Assessment, and Research Methodology
• Supervising research projects in AI-driven cardiology, public health reforms, and digital health applications
• Conducting and mentoring research in cardiovascular metabolism, lipid metabolism, PCOS, obesity, nanotoxicology, and public health technology
• Keynote Speaker at multiple international conferences (Global Public Health Conference 2025, European Public Health Conference 2025)
• Presenter at various international academic events including ADA, WCHRI, Endocrinology (Boston), and PCOS research meetings
• Reviewer, collaborator, and invited contributor for multiple international scientific journals
• Extensive experience in clinical trials, informed consent management, GCP compliance, IRB/HIPAA/IACUC protocols, and translational research
• Highly cited researcher with a ResearchGate Index score of 248.5 and 522+ citations

1. Treatment of human astrocytoma U87 cells with silicon dioxide nanoparticles lowers their survival and alters their expression of mitochondrial and cell signaling proteins.
2. Decreased glucose tolerance and plasma adiponectin:resistin ratio in a mouse model of post-traumatic stress disorder.
3. The HPA axis modulates the CNS melanocortin control of liver triacylglyceride metabolism.
4. High-fat diet-induced obesity causes an inflammatory and tumor-promoting microenvironment in the rat kidney.
5. Direct control of Brown Adipose Tissue thermogenesis by Central Nervous System Glucagon-Like Peptide-1 receptor signaling.
6. p62 links beta-adrenergic input with mitochondrial function.
7. Androgens modulate intestinal absorption and synthesis of lipids, contributing to impaired lipid metabolism in a rodent model of Polycystic Ovarian Syndrome and metabolic syndrome.
8. Screening for Left Ventricular Hypertrophy Using Artificial Intelligence Algorithms Based on 12 Leads of the Electrocardiogram—Applicable in Clinical Practice?—Critical Literature Review with Meta-Analysis.
9. Advancements and Challenges of AI-Based Tools as an Effective Personalized Medicine in the Future for the Early Diagnosis of Pulmonary Hypertension.