A set of computer systems and methods capable of performing tasks that normally require human intelligence.
Artificial intelligence (AI) relies on algorithms that can learn from data, identify patterns and make decisions. Its sub-domains include machine learning and deep learning, which make it possible to analyse massive volumes of data with increasing precision. AI is more than automation: it aims to reproduce certain cognitive functions, such as perception, reasoning or adaptation.
Artificial Intelligence for Health Research
In the health field, artificial intelligence is profoundly transforming research and care practices. In particular, it makes it possible to exploit complex data from medical imaging, genomics or patient records. For example, AI algorithms are capable of early detection of brain abnormalities on MRIs, facilitating the diagnosis of neurodegenerative diseases such as Alzheimer’s.
Accelerating Scientific Discovery
Artificial intelligence is also helping to accelerate biomedical research. It is used to model disease progression, identify new therapeutic targets or optimize clinical trials. By crossing heterogeneous data, it opens the door to more personalized and predictive medicine, which is at the heart of current neuroscience issues.