More hospitals and healthcare providers are seeking medical specialists compared to primary care physicians––and many of these roles comes with the highest starting salaries in the industry.

Several plant-based foods readily available in supermarkets contain bioactive molecules that could not only prevent cancer but also treat it, accomplishing the latter with protective mechanisms similar to those activated by existing clinical therapies.  

Researchers from Kaiser Permanente have developed a machine learning algorithm that could help prevent the spread of the HIV virus by finding at-risk patients and getting them on prevention medications. The researchers published the findings of their prediction model in The Lancet HIV.

From the U.S. by way of the Land Down Under comes a “turbo-charged” flu vaccine created by AI.

It’s not unusual for hospitalized patients to take a sudden turn for the worse. A continuous inspection of electronic medical records by machine-learning algorithms can warn of impending trouble in real time, giving physicians a chance to proactively intervene.

Using a dataset of records from nearly 3 million pediatric patients, South Korean researchers have developed and validated a deep-learning algorithm that can tell emergency doctors which children will need to be admitted to critical-care units.

Hospital inpatients who are likely to turn violent can be identified by algorithmic analysis of routine clinical notes stored in electronic health records, according to a study published in JAMA Network Open July 3.

Social media networks like Facebook and YouTube are seeing a wave of false medical information about dubious cancer treatments, with millions of views, according to the Wall Street Journal.