ENBIS-24 Leuven Conference

Session

AI in industry 1

17 Sept 2024, 10:05

Leuven, Belgium

Conveners

AI in industry 1

• Bertrand Iooss (EDF R&D)

89. Optimizing Industrial Systems with Hybrid Information Quality

Marco P. Seabra dos Reis (Department of Chemical Engineering, University of Coimbra)

17/09/2024, 10:05

AI in Industry

Industry 4.0 contexts generate large amounts of data holding potential value for advancing product quality and process performance. Current research already uses data-driven models to refine theoretical models, but integrating mechanistic understanding into data-driven models is still overlooked. This represents an opportunity to harness extensive data alongside fundamental principles.
We...

97. Simplifying repetitive manual work: AI application to summarizing Technical Documentation of In Vitro Diagnosis Medical Devices in preparation for regulatory submission

Dr Marina Vives-Mestres (Datancia)

17/09/2024, 10:25

AI in Industry

In various global regions, In Vitro Diagnostic Medical Devices (IVDs) must adhere to specific regulations in order to be marketed. To obtain approval from entities such as the U.S. Food and Drug Administration (FDA), the In Vitro Diagnostic Medical Devices Regulation (IVDR) in Europe, Health Canada, or Japanese regulatory bodies, manufacturers are required to submit Technical Documentation to...

100. Leveraging Transfer Learning for Efficient Bioprinting

Filippo Bracco (Politecnico di Milano)

17/09/2024, 10:45

AI in Industry

Bioprinting is an innovative set of technologies derived from additive manufacturing, with significant applications in tissue engineering and regenerative medicine. The quality of printed constructs is commonly measured in terms of shape fidelity trough a procedure known as printability assessment. However, the cost of experimental sampling and the complexity of various combinations of...