Top AI Healthcare and Biopharma News in 2022

Medicine has seen some major advancements in 2022 thanks to AI-powered tools and research, from a new way to detect Parkinson’s, type 2 diabetes, birth defects, and more. It’s clear that researchers are going all in with AI to empower medicine so that patients can receive the best care possible, and medical professionals are armed with the best technology. Here is the top AI healthcare/medical news of 2022!

The way it would work is that a blood test would be used to measure a person’s average blood sugar level over that period. But in regions where hospital input is incomplete or scarce, such as less densely populated regions and developing nations, this could become a game changer in preventative medicine, affecting the lives of millions worldwide if proven to be able to be scaled.

Like with many physical diseases, mental and neurological disorders often are best treated if caught early and a plan of action is put into place. But unlike with physical diseases, it’s extremely rare to see physical manifestations of these illnesses until it’s far too late. But thanks to the world of researchers in Singapore, it could be a thing of the past.

Her team at MIT developed an artificial intelligence model through a series of connected algorithms that mimic the way the human brain operates. They were able to demonstrate that the AI assessment of Parkinson’s could be done nightly, in a patient’s home while they slept using a device that is about the size of a Wi-Fi router.

This is a milestone in preventative medicine that has the potential to expand the treatment options of those affected by Parkinson’s due to early detection.

Cardiologist Eric Topol from the Scripps Research Translational Institute explains in a statement about the news, “Determining the 3D structure of a protein used to take many months or years, it now takes seconds…With this new addition of structures illuminating nearly the entire protein universe, we can expect more biological mysteries to be solved each day.”

This is a breakthrough for the microbiology community as well as the medical community and only time will tell the changes and advancements that will be ushered in by this discovery.

This was a breakthrough due to the difficulty of identifying these issues this early in pregnancy due to the lack of detail in images, the size of the baby, and normal fetal movements. But with this tool, the Canadian team’s model was able to achieve an accuracy of over 93% overall, which is an amazing first step with this new tool.

With Google’s ventilator control solution, they use machine learning instead of manual controls. This design requires much less manual intervention by predicting air pressure changes based on real-time data. Armed with this, it can adjust to prevent drastic pressure changes instead of responding to them.

This new design can not only potentially save lives, but free up much-needed man-hours and reduce human errors as the data sets grow.

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