Patterns reveal the individual: A novel AI algorithm equips researchers with a powerful new tool to accurately identify individual jaguars, zebras and giraffes in real time based on their unique coat patterns. Biologists and ecologists can now observe individual wild animals as they move from place to place, as well as their behavior and development over long periods of time, accurately, with much less effort and significantly faster than before – a major step forward for nature conservation.The scientists explain how this works in the journal "Methods in Ecology and Evolution".

In a study published in Nature Biomedical Engineering, Prof. CAI Yunpeng's team from the Shenzhen Institutes of Advanced Technology (SIAT) of the Chinese Academy of Sciences developed a mathematical framework named Class-Association Manifold Learning (CAML), which efficiently maps the decision rules of black-box AI models into a low-dimensional manifold that friendly visualizes knowledge to human experts.

Kaiser Permanente study finds a mammography AI risk score used along with polygenic and clinical risk scores identifies more high-risk women.