Revolutionary AI platform demonstrates how to predict and prevent disease years before symptoms appear helping medical professionals explore how artificial intelligence is transforming nutritional assessment and patient care
MUMBAI — Leading clinical nutritionists gathered at Taj Lands End, Mumbai for “NutriLens: AI Insights, Real-World Nutrition,” a continuing medical education (CME) event co-hosted by IAPEN India and eGenome.ai. The scientific session focused on advancing nutritional practice through AI-powered biomarker interpretation and personalized patient care.
Educational Focus on AI in Clinical PracticeThe CME brought together over 120 clinical nutritionists to explore practical applications of artificial intelligence in nutritional assessment. Sessions covered biochemical parameter interpretation, inflammation management through nutrition, and the integration of advanced biomarker analysis in clinical practice.
Sid Das, Co-Founder of eGenome.ai, opened the educational session with an introduction to AI applications in clinical nutrition: “Traditional medicine treats symptoms. We identify root causes before they create symptoms. Our AI doesn’t just tell you what’s wrong — it shows you exactly why it’s happening and how to fix it at the cellular level.”
Dr. Shivshankar Timmanpyati, President of IAPEN India, followed with keynote remarks: “In 30 years of clinical practice, I’ve never seen technology that can peer this far into a patient’s health future. This technology isn’t just changing nutrition — it’s revolutionizing how we think about disease prevention itself.”
Scientific Session Highlights
The educational program featured presentations by leading clinical nutritionists on:
- Biochemical parameter interpretation beyond standard reference ranges
- Probiotics applications in clinical nutrition practice
- Inflammation management through targeted nutritional interventions
- Root cause analysis using advanced biomarker patterns
- Practical implementation of personalized nutrition protocols
Clinical Case Studies and Practical Applications
Educational case studies demonstrated how AI-enhanced analysis can identify:
- Hidden insulin resistance patterns in seemingly normal patients
- Cardiovascular risk indicators missed by conventional panels
- Early organ dysfunction markers years before clinical manifestation
- Personalized intervention strategies based on individual biomarker profiles
Dr. Ankita Ghag, Lead Dietician, The Gut Lab noted: “This isn’t incremental improvement — it’s a paradigm shift. AI revolution in healthcare is proving that the future of medicine is prediction and prevention, not reaction and treatment.”
Advancing Clinical Nutrition Practice
The session emphasized practical implementation of advanced nutritional assessment tools in clinical settings. Presentations covered how AI can create individualized nutrition protocols, targeted supplement recommendations, and lifestyle modifications based on comprehensive biomarker analysis.
Following the scientific presentations, Subodh Yadav, CEO and Co-Founder of eGenome.ai, concluded: “We’re not just analysing health data — we’re predicting your health future. Our AI has identified biomarker combinations that established medical literature has not identified or reported.”
Professional Development and Future Directions
The CME provided clinical nutritionists with updated knowledge on interpreting complex biomarker patterns, implementing precision nutrition strategies, and utilizing AI tools to enhance patient outcomes. The educational session concluded with interactive discussions on implementing these technologies in diverse clinical settings and advancing the field of personalized nutrition through evidence-based AI applications.
