Bioelectronic medicine
Vagus nerve is the longest cranial nerve and a major component of the autonomous nervous system with crucial role in the various organs innervation such as heart, lungs, pancreas, and intestines. Vagus nerve stimulation is already used clinically for drug-resistant epilepsy, depression, and sleep apnea. However, while it shows promise in various fields, including cardiovascular, metabolic and gastrointestinal applications, its nonprecise stimulation often causes multiple side effects like cough, muscle contractions or respiration alteration. By integrating AI modeling, bioelectronic engineering and experimental research, this project will develop an in-silico VNS model, uncover some of the VNS mechanisms, and create an AI-driven VNS closed-loop system. This breakthrough approach will pave the way for a novel bioelectronic treatment for metabolic diseases, minimizing side effects while enhancing proper control.
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Lecture: Combining prosthetics and artificial inteligence for neurorehabilitation
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Sensorimotor bionics
Neurological injuries such as stroke, cervical spinal cord injury, and brachial plexus injury and amputees often lead to severe and long-lasting impairments in sonsory and motor function, limiting independence and daily activity for millions worldwide. This ambitious multidisciplinary project aimes at restoring both motor control and sensory feedback in people with upper limb sensorimotor disabilities.
Rather than focusing narrowly on a single pathology, we aim to target shared impairments across conditions, offering a modular, scalable, and personalized approach. By precisely tailoring electrical neuroprosthetics and robotic assistance to the user’s unique sensorimotor deficits, we want to improve patients independence in essential daily tasks like eating, dressing, or manipulating objects.
This project is developed in close collaboration with clinicians, engineers, and end-users to ensure clinical feasibility, user comfort, and real-world impact. Our mission is to bridge the technological gap in assistive care and empower individuals with sensorimotor deficits to regain autonomy, dignity, and participation in everyday life.
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Neuroprosthetics Virtual Summer School: From Ionic to Bionic
TCCI BMI Conference: Nerve-Machine Interface for Neurorehabilitation
TEDxPodgorica: Bionic hand restores touch to amputees
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Digital Health
Digital health technologies are reshaping the future of personalized medicine by enabling continuous, adaptive, and patient-centered care. By integrating immersive virtual reality, wearable sensors, and targeted electrical neurostimulation, we are developing innovative platforms that deliver adaptive, data-driven interventions beyond traditional clinical settings for at-home therapy.
Our work focuses on two critical domains where long-term rehabilitation is often fragmented or insufficient: chronic pain and post-stroke disability. These conditions affect millions globally and demand solutions that are both effective and accessible.
These digital platforms are designed to deliver tailored rehabilitation and pain management interventions that respond in real time to each patient’s physiological and behavioral state. By combining engaging and multisensory, we amplify neuroplasticity, increase therapy adherence, and enable meaningful recovery even in chronic stages of disease.
Beyond treatment, our systems continuously collect and analyze data to extract objective digital biomarkers, providing clinicians with insights into patient progress and supporting precision medicine. This approach not only enhances therapeutic outcomes but also reduces clinical burden by shifting effective care into the patient’s home environment.