Innovations

New progress in bioimaging based on multi-feature deep learning

0
A network of molecules and atoms of glass and crystals constitute a single system. 3D illustration

Deep learning plays an increasingly crucial role in biomedical research, due to its exceptional data processing capacity. However, single-feature data is far from enough to present the full picture of an issue.

Exploring antiviral potential of natural products against flu viruses

Previous article

‘Fate mapping’ traces cell samples back to embryo

Next article

You may also like

Comments

Leave a reply

Your email address will not be published. Required fields are marked *

More in Innovations