Math Biology: An Innovative Path to a New Non-Invasive Diagnostic Method Based on Molecular Interferometry and the Enhancement of HealthTech Technologies

Change is a challenge that often induces fear; it is a leap forward that requires a significant dose of patience and courage. These two ingredients are crucial to success and, when employed with professionalism and a visionary approach to project planning, can fuel the growth of a business, enhancing it to the point where its production capacity has a positive impact on the economic, social, and cultural context.

The concept of transformation, whether in scientific, academic, or technological terms, forms the fertile ground on which the story of Math Biology has branched out. This scientific startup, founded in 2020 in the Health Technology sector, aims to improve diagnostic processes and medical treatments by proposing a revolutionary, effective, and attentive method whose main advantage is its non-invasive yet investigative approach. This method focuses particularly on the patient’s profile and background, aiming to enhance their quality of life starting from awareness.

The underlying idea of the project is that while the use of a drug brings almost immediate relief from the symptoms caused by a physical or psychological issue, Molecular Interferometry goes beyond the visible expression of a dysfunction. Instead, it recalls the original meaning of the Greek word therapeia, which is to listen to the other, investigating the causes in depth.

But let’s proceed in order.

If the most recent step taken by the startup was the patenting of the Deep Metabolism Assessment® (DMA) biosensor in April 2023, after two years of work, to understand the scientific solidity and ethical depth of this reality, one must look back thirty years, intertwining its history with that of its founder, Giuseppe Sgro.

Trained as a biologist and raised in a family of doctors and pharmacists, after completing university studies he first entered the pharmaceutical field, where he collaborated with internationally renowned companies conducting significant research aimed at bringing high-performance drugs to market. Initially a product manager and later director of applied research, with an eye always on biology, in 2009, compelled by the unpredictability of life, he finally embraced his desire to delve into molecular interferometry, dedicating years to collecting data to transform into reference protocols for identifying the metabolic profiles of people suffering from various pathologies.

A meticulous path of research and experimentation that involved studying innovative machinery and technologies capable of detecting the spontaneous electrical emission of various human organs, as well as exploring the life paths of the patients involved, delving into significant events and habits in search of the causes behind the symptoms detected.

Alongside him, co-founder Raffaele Maccioni, an expert in mathematical optimization systems and AI methodologies, winner of the prestigious Franz Edelman award for his achievements in Management Science, and an international expert team from prestigious Research Centers such as the CNR, the University of Salerno, the universities of Rome La Sapienza and Tor Vergata, the Swiss University Supsi, the Universitat Oberta de Barcelona, the University of Milan, and the TAV – Tech For Life Cluster.

This diversity aligns with the variety of the audience Math Biology addresses, which includes doctors, biologists, clinicians, athletic trainers, and all those working for the physical and psychological well-being of the individual. The main goal is to support them by enhancing the standards of performance in terms of managing complexities, accuracy, and reliability of information, thus improving the entire care process for the individual.

This vision will always drive the future of a business determined to chart a course of strong innovation aimed at the health of society, starting with each individual in their diversity and uniqueness. Hence the decision to further invest in the field of Artificial Intelligence, after developing protocols and software, prototyping the first DMA biosensor, and designing a dedicated IT cloud-to-edge infrastructure for managing the data flows emitted by the same, thereby multiplying the possibilities for investigation and the parameters of evaluation.