Welcome to the Chair of Digital Health with a focus on Data Science
'Artificial intelligence (AI) involves developing intelligent machines capable of tasks typically requiring human intelligence, such as learning, reasoning, and decision-making. Machine learning is a subset of AI focused on training algorithms to recognize patterns in data and make predictions. The Chair of Digital Health, led by Prof. Dr. Aldo Faisal, is part of the "Borderless Lab" initiative which fosters collaboration across diverse scientific domains such as computer science, engineering, biology, psychology, and medicine, to develop innovative healthcare solutions. With profound knowledge of artificial intelligence and machine learning, the lab leverages these cutting-edge technologies to improve healthcare outcomes, reduce costs, and increase efficiency.
Their interdisciplinary approach integrates diverse perspectives and expertise, focusing on analyzing brain activity, designing prosthetic limb control systems, monitoring mental health using wearables, enhancing training through VR/AR, and applying various interfaces in clinical areas such as neurology, rehabilitation, cardiology, surgery, intensive care, infectious diseases, and digital public health. The team aims to transform healthcare delivery worldwide, making it more accessible and effective for patients.
Our team aims to transform healthcare delivery worldwide, making it more accessible and effective for patients.