On October 30, 2024, Math Biology had the pleasure of being hosted at Link Campus University, a prestigious setting where science and innovation intersect, to present our flagship project: Deep Metabolism Assessment. DMA represents a breakthrough in predictive and preventive medicine, featuring a non-invasive, AI-driven technology designed for metabolic screening and monitoring.
The event began with a warm welcome from Gianluca Costa, Dean of the Department of Medicine and Surgery, who highlighted the importance of investing in innovative solutions to address the challenges of modern medicine. Academic and institutional support for initiatives like DMA underscores how Math Biology is bridging the gap between advanced scientific research and practical applications in people’s daily lives.
A Team of Experts Driving Innovation
Three key figures from Math Biology – Giuseppe Sgrò, Raffaele Maccioni, and Alessandro Cascia – delivered a detailed presentation, outlining both the technical aspects and the potential impact of DMA. They explained how the technology can safely and accurately collect and analyze metabolic data through the use of artificial intelligence, offering new tools for well-being and healthcare prevention.
The audience response was enthusiastic: a room filled with healthcare professionals, academics, potential investors, and individuals keen to learn more about the value of a non-invasive device for metabolic monitoring. This interest reaffirmed the urgent need for advanced medical solutions that promote long-term well-being.
Networking and Opportunities for Collaboration
The evening concluded with an aperitif networking session, where Math Biology had the opportunity to engage with industry experts, potential investors, and stakeholders interested in experiencing the medicap device firsthand. During these informal conversations, the team had the chance to delve deeper into discussions on DMA’s future developments and its potential applications in medicine and preventive care.
This event is just one of the many steps toward Math Biology’s mission: to bring advanced technological tools that improve quality of life and make healthcare prevention more accessible and accurate. We extend our gratitude to Link Campus University for the warm reception and to all attendees for their valuable contributions to our vision
