Artificial Intelligence and machine learning are increasingly prominent in the chemical industry, in particular with respect to Big Data. These development have the potential to automate and speed-up the key... Read More
Bioinformatics concerns the development of databases and algorithms for learning, managing and processing biological information. AI techniques constitute powerful tools for many bioinformatics applications ranging from DNA sequencing, to protein... Read More
The complexity of research and care in the healthcare domain is compounded by the multiple levels that span from the molecular to the environmental and all of these levels generate... Read More
The applications of AI in Medicine let us to improve the quality of healthcare provided to patients. Many fields benefit of AI innovative techniques: Diagnostics (e.g., early diagnosis of “time... Read More
Swiftly, medicine is becoming a data-centered discipline and, beyond the traditional statistical approaches, Artificial Intelligence (AI) and, more in particular, Machine Learning (ML) are attracting much interest for the analysis... Read More
The national healthcare system is subject to strong pressures that mine the long term sustainability of the system. According to the Italian National Statistic Institution, 85% of Italians above 65... Read More
AI methods and techniques are taking on an increasingly important role in supporting elderly and frail people, living either in private homes or protected houses. Robotics, Assistive Technology, Sensor-based Monitoring... Read More
AI plays a crucial role in “Positive Computing” (a.k.a. “Computing for Well-Being”) where m-Health, wearable and ambient sensors, Applied Games, Gamification, IoT, and Virtual Reality are synergistically used for the... Read More
In specialized training related to AI and health there are two specular aspects: on one hand, the need to make ICT university students studying Big Data and AI aware of... Read More
Many AI-based applications have been created in the recent years to improve public health outcomes. From monitoring adverse drug reactions or to more accurately predict the flu or the next... Read More
Chair: Lucia Sacchi, Dipartimento di Ingegneria Industriale e dell’Informazione Università degli Studi di Pavia, Italy Marco Sacco, STIIMA-CNR, Italy Enzo Veltri Università della Basilicata, Italy Sara Moccia, Università Politecnica delle... Read More
EU and Italian institutions will present their initiatives in AI and Health. Chair: Manuel Roveri, Observatory for AI – Politecnico di Milano, Italy Participants: Marta Calderaro, APRE, Agenzia per la... Read More