Physics simulation in Life Science and Healthcare

The Swedish company was founded in 2007 by four researchers. Together they combined extensive competence in computational physics, mathematics, computer graphics and computing science. Added to this was experience in developing physics based virtual reality simulators for operator training. Today the company has grown to nearly thirty employees all having graduate degrees, all applying their hard-earned competences on difficult but rewarding problems. They have more than 100 customers world-wide in various industries. The company's technologies stand on firm scientific ground, based on the latest and best methods in the scientific literature. They publish almost everything they do in peer reviewed scientific journals. The company's physics simulation engine is unique in the world by combining high precision and real-time performance for complex mechanical systems such as robots, vehicles, cranes and ships, and for processes in mines and factories. The simulations are used by engineers for development, in simulators to train operators, and in training AI (artificial intelligence) for autonomous machines. Digital twin technology has the potential to transform healthcare in a variety of ways i.e. by improving the diagnosis and treatment of patients, personalized medicine surgery simulation and streamlining preventative care. But also shorten regulatory decision making which helps to speed up the transition to bring more efficient and accurate drugs and medical devices to the patient. Numerous modeling and simulation approaches at FDA (U.S. Food and Drug Administration) are today supported by the Swedish companies simulation platform, typically Solid Mechanics, Control Systems and Machine learning and AI tools. In order to further develop their simulation platform they are looking for collaborations with research and innovation driven companies or academia interested to jointly explore new applications and to further develop existing applications within the life science and healthcare sector. Research or technical cooperation agreements are foreseen. The partners should benefit from using simulation, URDF models (Universal Robot Description Format),sensors, control systems for Machine Learning scenarios etc.