Deans' stroke musings: AI may have found a new way to cure Alzheimer's

Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Monday, July 13, 2026

AI may have found a new way to cure Alzheimer's

Ask your competent? doctor to analyze this and report back when available for use. 17 minute video

AI may have found a new way to cure Alzheimer's.

What if AI could learn the language spoken inside every human cell? This fascinating TED talk explores how researchers are combining artificial intelligence, CRISPR gene editing, and massive biological datasets to understand the hidden processes that drive diseases like Alzheimer's, cancer, and heart disease. After already completing tens of millions of experiments, scientists are working toward a billion-cell dataset that could allow AI to predict how cells respond to different genetic and chemical changes. The goal is ambitious: build a virtual model of human cells that can help identify new treatments faster than ever before and transform the way medicine tackles some of humanity's most complex diseases.