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Doctor Valentine Ojonugwa Idakwo

Ludwig Maximilians University, Munich (Germany)
Membership: ESC Professional Member
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Biography
Dr. Idakwo is a PhD Candidate with the AI-based Telemonitoring (AIBAT) Research Team at LMU Hospital, Munich. His work focuses on applying predictive modeling and digital twin technologies to valvular heart disease, aiming to harness real-world data from wearable devices to advance personalized medicine. Holding a Medical Degree and a Master’s in Digital Health, Dr. Idakwo brings a unique dual perspective—both clinical and technical—on how AI can transform cardiovascular care. Working with the AIBAT Team, he seeks to optimize patient outcomes and pave the way for the next generation of data-driven cardiac interventions.
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Contributor content

Incremental value of wearable heart rate data for tree-based mortality prediction in heart failure patients with tricuspid regurgitation
Presentation
Incremental value of wearable heart rate data for tree-based mortality prediction in heart failure patients with tricuspid regurgitation
Prognostic value of 24-hour wearable heart rate data in right-sided heart failure patients with tricuspid regurgitation
Presentation
Prognostic value of 24-hour wearable heart rate data in right-sided heart failure patients with tricuspid regurgitation

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