Machine Learning
Bridging artificial intelligence and the life sciences – launch of ELLIS Heidelberg
Researchers from all life science disciplines – from fundamental biological research to medical applications – generate immense datasets. Analysing these datasets and gaining new knowledge from them is a growing challenge for scientists. The fields of artificial intelligence (AI) and machine…
Artificial intelligence finds patterns of mutations and survival in tumour images
Researchers have developed an artificial intelligence algorithm that uses computer vision to analyse tissue samples from cancer patients. The algorithm can distinguish between healthy and cancerous tissues, and can also identify patterns DNA and RNA changes in tumours.
An in silico hope for biology: machine learning
How EMBL scientists are using machine learning to advance biology
Welcome: Anna Kreshuk
New Heidelberg group leader creates tools to help biologists work faster and better
