AI Global Summit

AI applied to voice opens new possibilities for the non-invasive monitoring of patient health. Through the automated analysis of vocal signals, it is possible to achieve early detection of alterations related to respiratory, neurological, or vocal disorders. This approach offers innovative diagnostic and monitoring solutions that can reach large populations and be seamlessly integrated into clinical and home-care pathways.

The quest to extend human healthspan and decode the biological mechanisms of aging is undergoing a profound transformation, driven by an inflection point in artificial intelligence. We are transitioning from a slow, observational approach in longevity science to a highly predictive, generative paradigm. I will explore how the convergence of advanced AI architectures and massive biological datasets is not just accelerating discovery, but fundamentally altering our approach to aging, cellular senescence, and age-related disease. At the foundation of this revolution are groundbreaking advances in biomolecular modeling and structural prediction. When coupled with emerging, purpose-built foundation models for biology and medicine, researchers are gaining the ability to decode intricate epigenetic and proteomic signatures. This enables the rational design of novel geroprotectors, targeted therapeutics, and highly personalized interventions with unprecedented speed and precision. However, the next frontier in longevity medicine lies in the transition from static structural mapping to dynamic biological simulation. The development of "world models" for biology and fully realized "virtual cells" represents a paradigm shift for the field. By simulating complex cellular behaviors and tissue-level interactions in silico, these dynamic models allow us to safely and rapidly test millions of potential anti-aging interventions. They enable researchers to predict complex systemic responses, model the long-term cascade of cellular aging, and evaluate multi-drug regimens without the immediate need for decades-long clinical trials.

In this keynote, Roberto Ascione explores the evolution of a vision that, over three decades, has helped transform digital health as we know it today. Drawing on the ideas presented in his book “The Future of Health”, he unpacks how the belief that digital technology could make care more accessible, sustainable, and human became a roadmap for innovation. With AI now accelerating every dimension of healthcare, from clinical decision support to patient engagement, from drug discovery to digital therapeutics, the keynote offers a clear perspective on how this transformation has taken shape over time. He shares lessons on which visionary ideas endured, how course corrections proved necessary, and why the most human ambitions, such as empowering patients, restoring the doctor patient relationship, and democratizing access, have proven the most durable. This is not a keynote about what’s coming. It’s the story of what has already arrived and what it took to get here.

With the release of ChatGPT and other generative artificial intelligence platforms, more and more people are turning to these systems for health-related answers. This phenomenon is set to grow with the launch of tools such as ChatGPT Health. However, scientific evidence suggests that it is crucial to use these technologies with caution and only within specific, controlled contexts. This session aims to clarify these aspects and provide a clearer perspective.

Digital health is growing fast, but instead of simplifying access, it has often increased fragmentation and complexity. AI Health risks amplifying this chaos if we don't fix the underlying issue: the lack of integration and a shared language across the healthcare system. This session explores the evolution from Digital Health to AI Health, highlighting its limits and opportunities. Through the Salute360 case study, we will see how to unify services, professionals, and patients into a single, accessible, and seamless experience.