Computer systems and methods capable of performing tasks that usually require human intelligence.
Artificial intelligence (AI) uses algorithms capable of learning from data, identifying patterns and taking decisions. Its sub-fields include machine learning and deep learning, which make it possible to analyze huge volumes of data with increasing accuracy. AI is not just for automation: it aims to simulate certain cognitive functions such as perception, reasoning and adaptation.
Artificial intelligence in support of health research
Artificial intelligence is profoundly transforming research and care practices in the field of health. Among other things, it makes it possible to use complex data from medical imaging, genomics and patient records. For example, AI algorithms are able to detect brain abnormalities early on in MRI scans, making it easier to diagnose neurodegenerative diseases such as Alzheimer’s.
Accelerating scientific discovery
Artificial intelligence is also helping to accelerate biomedical research. It is used to model the evolution of disease, identify new therapeutic targets and even optimize clinical trials. By combining heterogeneous data, it paves the way for more personalized and predictive medicine. This is central to current neuroscience challenges.