Artificial Intelligence in the neurosciences: Human Neurobehavioural Laboratory and Laboratory of Applied Neurosciences of the University of São José create partnership

Tuesday, April 30, 2024 - 09:38

The Human Neurobehavioural Laboratory (HNL) of the Faculty of Education and Psychology of the Universidade Católica Portuguesa (FEP-UCP) and the Laboratory of Applied Neurosciences of the University of Saint Joseph (USJ) in Macao have entered into a partnership to develop a line of advanced research focused on the application of artificial intelligence (AI) and machine learning in the field of neurosciences. The collaboration, which began in March this year, opens the door to significant advances in the diagnosis, treatment and understanding of various neurological disorders.

Through this partnership, HNL will be part of a multidisciplinary team at USJ's Laboratory of Applied Neurosciences and have the opportunity to conduct comparative studies with samples from USJ's partner countries.


Artificial Intelligence and machine learning at the service of neurosciences

The rapid development of AI and machine learning is opening up new frontiers for the analysis and interpretation of data in neurosciences.

HNL and the Laboratory of Applied Neurosciences aim to "build computational models that simulate complex brain processes such as decision-making, cognitive strategies for emotional regulation, and basic sensory processes. This modelling capability is fundamental to advancing diagnosis and personalising treatments for diseases such as Alzheimer's and Parkinson's," says Patrícia Oliveira-Silva, director of the HNL.

Another goal of the partnership is to use AI and machine learning to identify neurological biomarkers, which are essential for detailed analysis of brain images and other physiological data. The identification of these biomarkers can significantly improve the diagnosis and treatment of neurological diseases.


Integrating multidisciplinary data through artificial intelligence and machine learning

The HNL team is particularly excited about the potential of AI and machine learning to integrate data from different fields, such as consumer behaviour, brain learning and emotional regulation and leadership.

"This interdisciplinary approach ensures that the fruits of this collaboration will benefit a wide range of applied fields, with a positive impact on society," says Patrícia Oliveira-Silva.


Photo of the participants
Photo of the participants