New explainable approaches of artificial intelligence help to investigate the relationship between internal biomedical processes of the human body with the huge amount of heterogeneous data that can be collected from humans (visual data, sensor signals, phenotype, genotype, microbiome, clinical history, etc.). We invite you to submit original scientific papers discovering the complex character of the human body and mind using data-intensive computational methods from the areas of pattern recognition, machine learning, data science, and pervasive computing. Human activity recognition, neurological assessment of movement, personalized nutrition, gait analysis, pain monitoring, and sleep analysis are just examples of possible application domains.
A modern approach to physiotherapy poses numerous tasks related to the assessment and monitoring of the quality of human health, both in terms of functionality and physiology. They are carried out in hospitals, ambulatories, laboratories, and in everyday life. Physiotherapists more and more often indicate the need to search for modern technological solutions, the implementation of which is possible only in close cooperation with the engineering community. Mutual exchange of needs and ideas, as well as the search for solutions, is the basis for creating more effective therapy programs based on objective knowledge about the patient's health.
The session is dedicated to the subject of mutual technical and medical cooperation in the field of human health monitoring, as well as the presentation of modern solutions in the field of diagnostics and therapy.
Special session proposals can be submitted via firstname.lastname@example.org.