The Architecture of Full-Stack Personalized Medicine
Abstract:
Medicine is undergoing a structural transition — from population-based statistical inference to individualized, continuous, real-time biological understanding. As an AI practitioner and architect with deep expertise in applied machine learning, edge inference, and clinical AI systems, Girish Naganathan brings a practitioner's lens to this paradigm shift: not what AI could theoretically do for medicine, but what it is demonstrably doing today — and what must be built now to make it universal.
The enabling architecture is a convergence of three layers: dedicated on-device AI processors (personal silicon), ultra-efficient small language models (SLMs) tuned to the individual, and multimodal biosensing platforms that capture heterogeneous biological signals simultaneously. But hardware and sensing alone are insufficient. The decisive challenge — and Girish Naganathan's central thesis — is the AI intelligence layer: how models are trained, personalized, governed, and integrated into the clinical and financial workflows that actually govern how care is delivered and reimbursed.
This presentation makes the case that the AI layer, not the form factor, defines the next decade of medicine — and that realizing its potential demands a new architecture connecting the patient to every stakeholder in the health ecosystem.
Biography:
Girish Naganathan is a technology executive and the Architect of Biological Intelligence — known for scaling next-generation platforms at the convergence of semiconductors, AI, biosensing, and regulated healthcare.
As EVP and CTO of Dexcom, he led global R&D, Dexcom Ventures, and Dexcom Labs — transforming continuous glucose monitoring from a diagnostic device into an intelligent, full-stack health ecosystem. His work redefined what medical hardware can be: not a commodity, but a system of compounding clinical value, governed by AI and built for the individual.
His current focus is the Full-Stack Revolution — the emerging architecture where multimodal biosensing, personal silicon, and small language models converge to deliver proactive, edge-native clinical intelligence. He advises CEOs, founders, and investors on platform strategy and semiconductor-enabled healthcare innovation, providing the blueprint for how the semiconductor industry will define the next decade of medicine.