Machine learning is being quickly adapted across the healthcare space to develop precision medicine, and it can also be leveraged to improve the development of new drug treatments and devices by improving the randomized clinical trial process, according to MIT researchers.

Koios Medical, Inc has received 510(k) clearance from the U.S. Food and Drug Administration for Koios DS (Decision Support) Breast 2.0, a new version of its machine learning based platform that assists physicians in the classification and diagnosis of breast cancer.

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.