Exploring the Future of Brain-Computer Interfaces in Healthcare.
Dr. Pinotsis is a senior consultant and academic specializing in Neuromarketing and Data Analytics. His expertise spans client decision-making, memory, addiction, and vulnerability, employing behavioral tools and brain imaging techniques to gain insights. He is also a prominent figure in Brain Computer Interface Theory Development, with a deep understanding of the brain’s electric fields.
Dr. Pinotsis holds a research affiliate position at the esteemed Picower Institute for Learning and Memory and the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology (MIT). Simultaneously, he serves as an Associate Professor (Reader) at the Centre for Mathematical Neuroscience and Psychology, along with being a member of the Department of Psychology at City, University of London.
His multidisciplinary research and academic roles position him as a leading authority in understanding the intricate connections between neuroscience, psychology, and data analytics, making a significant impact in these fields.
Jonathan, a neurologist with a computer science background, sought to transcend the linear impact of patient care by founding Machine Medicine. He noticed that traditional assessments for Parkinson’s disease were outdated, offering limited data. While many tried to address the problem with engineering solutions, they often fell short of connecting with clinicians and lacked regulatory approval.
Machine Medicine combines clinical expertise and engineering innovation to create a seamless integration with existing practices while extracting more objective data. Leveraging artificial intelligence and machine learning, they aim to enhance clinical trials, offering not just objective scores but also deeper insights into patients’ movements.
Jonathan’s ambition is to eliminate the communication gaps that hindered clinical practice and to empower the medical field with technology, ultimately improving patient outcomes. In a world where artificial intelligence plays a pivotal role, Machine Medicine seeks to revolutionize patient care.
