Applied AI Summit Healthcare
Free online conference | April 14-15, 2026Mind, Body, Algorithm: AI-Powered Daily Insights for Stress and Mood Balance
As mental health challenges rise globally, individuals and healthcare systems are seeking proactive, personalized approaches to managing stress and anxiety. This talk explores an emerging paradigm at the intersection of artificial intelligence, biomarker-driven insights, and human-centered biohacking. By combining physiological signals, medication patterns, sleep behavior, activity levels, and self-reported mood data, AI can now identify early warning patterns, forecast anxiety events, and recommend personalized interventions before symptoms escalate.
Drawing on experience in AI governance, predictive modeling, and digital health innovation, Mugdha Tasgaonkar presents a forward-looking framework for AI-powered mood and stress optimization. The session will demonstrate how intelligent algorithms can transform raw biological data into actionable daily guidance helping individuals maintain emotional balance, improve performance, and strengthen overall well-being. Attendees will gain insights into model design, ethical considerations, human-AI interaction, and the future of personalized mental healthcare, where technology enhances not replaces the human capacity for self-regulation and resilience.
About the speaker
Mugdha Tasgaonkar
AI COE Engineering Manager at Medtronic
Mugdha Tasgaonkar is an accomplished AI and Data Science executive recognized for leading enterprise-scale digital transformation in healthcare. She heads Annotation and Digitization within Medtronic’s AI Center of Excellence, where she drives AI strategy, governance modernization, and the development of intelligent data ecosystems that power next-generation clinical and operational solutions. Her leadership spans AI governance integration, generative AI evaluation frameworks, automated annotation technologies, and cross-functional platform development that accelerates innovation across global operating units. With over a decade of expertise in predictive analytics, data architecture, and machine learning, Mugdha has delivered impactful research ranging from cardiac event prediction to sleep apnea fall detection and precision market modeling. She is also the founder of AI for Her ATX, a nonprofit empowering women through AI education, mentorship, and community-building. A dynamic speaker and thought leader, Mugdha brings a visionary perspective on responsible AI, data strategy, and the future of human-centered innovation. She has presented at Data Science Salon, TEDx-affiliated events, and industry leadership forums, sharing insights that bridge technology, ethics, and real-world impact.