The accelerating power of machine learning in diagnosing disease and in sorting and classifying health data will empower physicians and speed-up decision making in the clinic. This Collection is ...

DURHAM – Biomedical engineers at Duke University have devised a method for increasing the resolution of optical coherence tomography (OCT) down to a single micrometer in all directions, even in a ...

The course will start with a brief overview of how to upload and handle various types of biomedical data using Python. Supervised learning tasks such as regression and classification will be ...

ATLANTA--Compared to standard machine learning models, deep learning models are largely superior at discerning patterns and discriminative features in brain imaging, despite being more complex in ...

With potential application diagnosing cancer or predicting how viruses, such as HIV, attack human cells, machine learning is opening promising new areas of application for bioinformatics - the data ...

Scientists at ETH Zurich and the University of Zurich have used machine learning methods to improve optoacoustic imaging. This relatively young medical imaging technique can be used for applications ...

WASHINGTON – The use of machine learning to analyze large datasets is throwing up more and more spurious signals and accelerating the reproducibility crisis in biomedical research.

Compared to standard machine learning models, deep learning models are largely superior at discerning patterns and discriminative features in brain imaging, despite being more complex in their ...