Deep learning based on multilayer artificial neural networks
Deep learning is a sub-field of machine learning based on artificial neural networks with multiple layers. Inspired by how the human brain functions, these models are capable of learning complex representations from raw data without needing to manually extract characteristics. This capacity makes them particularly good at processing unstructured data, such as images, sounds and biological signals.
Deep learning in support of health research
Deep learning has profoundly transformed the analysis of biomedical research data. It is used, among other things, to interpret medical images with great accuracy, for example to detect brain abnormalities on MRI scans or CT scans. In the field of neuroscience, these models also make it possible to identify subtle biomarkers and improve early diagnosis of diseases such as Alzheimer’s or Parkinson’s. By automating complex tasks and uncovering patterns invisible to the human eye, deep learning accelerates research and opens up new therapeutic prospects.
Other Words That May Be of Interest to You
- Artificial Intelligence (AI) :
- Computer systems and methods capable of performing tasks that usually require human intelligence.
- Magnetic resonance imaging (MRI) :
- Imaging technique used to obtain 2 or 3-dimensional views of organs or limbs.