VivaTech 2019 — Microsoft Health & Life Sciences
Presentation at VivaTech 2019 on the Microsoft Health & Life Sciences booth. A structured retrospective on the trajectory of artificial intelligence in medicine, the 2019 state of the art, and the conditions required for industrial-scale deployment.
Key milestones of AI applied to healthcare: from 1970s expert systems to deep neural networks, through early clinical applications in medical imaging and genomics. The recurring cycles of promise and disillusionment (“AI winters”) placed in perspective, and what structurally distinguishes the current period.
Mapping of operational applications and ongoing proofs of concept: diagnostic imaging, clinical decision support, drug discovery, care pathway optimisation. Identification of the gap between proof-of-concept and production deployment — the data quality problem, interoperability barriers, and governance constraints.
Three conditions identified for scaling: standardised, ambient, high-quality data; regulatory frameworks adapted to AI as a medical device; organisational transformation of clinical workflows. The shift from AI as a tool to AI as infrastructure.
The three conditions identified in 2019 — data quality, regulatory readiness, organisational transformation — are precisely the three problems that PREDICARE addresses at territorial scale and TweenMe solves technically. The HDLSS challenge (High-Dimensional Low-Sample-Size), the heterogeneity of clinical data sources, the need for standardised digital twin generation: all of this was named here, six years before the operational solution.
VivaTech 2019 is one of the earliest public formulations of the problem space that the Twingital Institute now works to resolve.
🇬🇧 English version.