News that drew views, June 8 to 12

The deal is largely focused on helping the 13-hospital institution delve deeper into various iterations of digital health, including AI.

Higher research and development costs are driving a need for pharmaceutical companies to leverage AI to optimize the drug discovery process––and some companies are doing so better than others.

Machine learning is playing a key role in predicting all major forms of drug cardiotoxicity, potentially helping reduce late-stage clinical trial failures.

A free web tool known as “Chester the AI Radiology Assistant” can assess a person’s chest X-rays online within seconds, ensuring patients’ private medical data remains secure while predicting their likelihood of having 14 diseases.

Researchers have found that spiking neural networks become unstable after unbroken periods of unsupervised self-training. Moreover, these “artificial brains” seem to restabilize after they’re given the equivalent of a good night’s rest.

Machine learning is playing a key role in predicting all major forms of drug cardiotoxicity, potentially helping reduce late-stage clinical trial failures.

With further refinement, the researchers say their convolutional neural network-based platform could help lighten sonographers’ ever-increasing workloads.

As the COVID-19 pandemic escalated in March and April 2020, many cardiologists made the transition to telemedicine. How did this necessary adjustment affect patient care?

The World Health Organization has had to clarify statements made about the spread of COVID-19 through asymptomatic people.