What if people could detect cancer and other diseases with the same speed and ease as a pregnancy test or blood glucose meter ...

Using the principles identified in training the machine learning algorithm for breast cancer diagnosis, they are looking to train the algorithm on other features that might be prominently ...

We're looking for diagnostic measures ... productivity Schnyer is using the Stampede supercomputer at the Texas Advanced Computing Center, or TACC, to train a machine learning algorithm that ...

This is the first report (“Real-time colorectal cancer diagnosis using PR-OCT with deep learning”) using this type of imaging combined with machine learning to distinguish healthy colorectal ...

The diagnosis ... machine learning techniques to create an algorithm to determine which questions typically used to evaluate children for autism were most predictive. Later, he built upon this ...

The researchers suggest that these advanced, pretrained machine learning models could expand the reach of machine learning-based cancer diagnosis ... more amenable to use in resource-limited ...

Researchers have developed a new machine ... the early diagnosis of PD or to rule it out. And the machine learning algorithm is publicly available for researchers who might want to use it.

This challenges emergency department staff and other health care professionals who need to diagnose ... and trained machine-learning algorithms to distinguish the two conditions using some of ...