On 3 December 2020 a webinar about the effects of artificial intelligence on the health industry was organized, with the participation of the South Transdanubian Regional Innovation Agency, partner of the Medtech4 Europe Interreg Europe project.
After a short opening, the organizers presented the SENET project. The Horizon 2020 Programme funded SENET aims to create a sustainable dialogue between health research and innovation actors in the European Union and China and to facilitate the participation of Chinese researchers in Horizon 2020 calls for proposals. It also supports a sustainable dialogue between the European Union and China and the promotion of future cooperation in health research and innovation.
The first speaker was Dr. Nicole Wheeler, who is a member of the team at the English Centre for Genomic Pathogen Surveillance. In her presentation, she analysed the importance of Machine Learning (ML) and demonstrated how ML can be used to monitor pathogens. She cited bacterial genomes as an example and how antibiotic resistance can be predicted with new data.
The second speaker, Prof. Xiao Li gave a lecture on “Artificial Intelligence, Medical Imaging and Biomedical Big Data Analysis”. He is currently working as an associate professor at the Institute of Computing Technology of the Chinese Academy of Sciences. In his presentation, he introduced their two works in more detail. On the one hand, presented the “Multi-Resolution Model,” which calculates material properties or system behaviour using different levels of information or models. On the other hand, he described the “Non-linear Poisson-Boltzmann System” for more accurate energy calculation and more dynamic simulation related to charged biomolecules.
The last speaker was Mr. Hideki Asho, Head of the Machine Learning Research Group at the Artificial Intelligence Research Centre of the National Institute of Advanced Industrial Science and Technology (AIST) in Japan. In his program, entitled “Application of Reinforcement Learning to Clinical Record Analysis” introduced the Markov Decision Process (MDP) and the Partially Observable Markov Decision Process (POMDP). These two processes are used for modelling that examines the interactions between agent and environment.
At the end of the webinar, participants were able to ask questions from the three speakers in a free conversation. As has been seen from the presentations, the world’s leading researchers in Europe, China and Japan attribute a significant role to artificial intelligence in both basic and applied research. The reason for this lies in increasing the efficiency of research and the innovation based on it, and in facilitating its industrial applications.
The Medtech4 Europe project is co-financed by the European Regional Development Fund and Hungary.