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Personalized medicine between digital twins and brain-machine interfaces

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Personalized medicine between digital twins and brain-machine interfaces

* founder of Corticale, a startup born within IIT that is developing a brain chip that will improve the lives of those with motor dysfunction

The vision of one personalized medicine has been in development for several years, and AI tools may be a means to get there. In contrast with a globalization that tends to lose attention to specific individual characteristics, IAI in medicine could instead enhance the individuality of people and patients.

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But to do what? Let us project ourselves into a future where we have overcome technological limitations and developed scientific knowledge that allows us to monitor a whole series of physiological parameters of the individual through optimized and ā€œtransparentā€ sensing of the body and the spaces we live in while protecting peopleā€™s privacy, we could use this huge amount of data to create and update our ā€œdigital twinsā€ and to be able to be assisted by a symbiotic system composed of artificial agents, living and working spaces, hospitals and healthcare system personnel.

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In this scenario, AI will be able to observe us tirelessly, assist us in prevention, diagnosis and can help the development of therapeutic solutions suited to us and our biological and medical history as individuals. For example, it will be able to assist us in keeping us fit on a daily basis by suggesting what to do during the day: when to eat, sleep or do sports. All to keep our metabolic and cognitive processes dynamic and functional. Through a constant formulation of predictions, he will be able to identify possible dysfunctions, inform the doctor by suggesting possible interventions, from those related to lifestyle such as, for example, increasing the hours of sleep or eating less sugar, up to the request for actual clinical interventions . On the basis of these individual digital models, it will be possible to select the drugs best suited to the individualā€™s physiology or create new ad hoc ones, undertake a specific rehabilitation treatment or optimize any clinical interventions and post-operative therapies, minimizing the time we have to spend in hospital and continuing to assist us once we get home.

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Work is being done on the technological ecosystem that revolves around personalized assistance, digital twins and their use in the clinical field in spoke 2 of the RAISE project, a project financed by the Ministry of University and Research (MUR) with the investment of resources from the National Recovery and Resilience Plan (PNRR) which aims to develop and market technological solutions based on robotic systems and artificial intelligence. RAISE involves dozens of partners from the academic and research world, institutions and businesses, coordinated by the University of Genoa (UNIGE), the National Research Council (CNR) and the Italian Institute of Technology (IIT). One of the activities that sees me directly involved in this context brings together several colleagues from IIT, between Lecce and Genoa, with expertise ranging from robotics to neuroscience, and important clinical partners such as the Italian Multiple Sclerosis Foundation (FISM) and the Italian Association Multiple Sclerosis (AISM). The goal of our work is to develop digital twins that can be used to improve individual treatments of individuals with multiple sclerosis rehabilitation robotic technologies, assistive and prosthetic. In other words, we are studying the development of an ecosystem of technologies to introduce a perception of the patientā€™s state into these robotic systems in order to adapt and personalize these devices. Furthermore, artificial intelligence allows us to explore application perspectives in new ways such as those based on new generations of brain-machine interfaces which we are developing together with the startup IIT Corticale Srl, or in the Crossbrain project coordinated by the University of Rome Tor Vergata and financed by the European Innovation Council (EIC). But AI also allows us to face the scientific and technological challenges of the new IIT flagship program ā€œBrain and Machinesā€, where the acquisition of knowledge deriving from the study of the brainā€™s natural intelligence is integrated with the development of computational models in order to develop robotic technologies capable of assisting humans autonomously and adaptively.

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The future of medicine with artificial intelligence is a real opportunity for everyone, but it is essential to keep the human being at the center of these technologies, as well as anticipate ethical and cybersecurity risks and consider the sustainability aspects for an AI that today it is particularly energy intensive.

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