A.I. Will Predict Alzheimer's Years In Advance by 2027

A.I's ability to predict and flag medical conditions before they happen will improve significantly in the next ten to twenty years in the future of healthcare.

In this article I'm going to speculate and exploralate how A.I. will be used to spot early signs of dementia, Alzheimer's and cognitive decline. As our population ages rapidly it will become a major societal issue in many countries. Here again then, is yet another area in medicine and healthcare A.I. will have a significant impact upon although the gap between research and clinical implementation may be more lengthy than one would assume.

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There’s a lot of really interesting Alzheimer studies coming out, and it all points to data that A.I. can predict with increasing accuracy, years before the onset of the disease.

Additionally A.I.’s use in drug discovery will have a breakthrough decade in the 2020s to help treat the disease. Harvard Medical School and Massachusetts?General Hospital has developed an?artificial intelligence-based method ?to screen currently available medications as possible treatments for Alzheimer’s disease.

According to World Health Organisation, Alzheimer’s disease is the most frequent cause of dementia, contributing to up to 70 percent of dementia cases. Worldwide, approximately 24 million people are affected, and this number is expected to double every 20 years.

A better understanding of the link between the Circadian rhythms and the Alzheimer’s also points to sleep data as being important in warning signs of increasing risk of dementia related diseases.

Scientists have uncovered a possible mechanism linking disruptions in circadian rhythms and the build-up of proteins associated with Alzheimer's disease, by studying the rhythmic operation of immune cells and finding the molecular 'timers' that control them.

So how will A.I. be able to signal early warning signs for Alzheimer’s?

• Sleep patterns
• Gum Disease
• Word choice (with voice samples)
• Amyloid plaques Analysis
• Others

I think eventually we’ll also get better at doing the same for Autism though even less is understood about its risk factors. A.I. will be an important tool in Medicine and especially early screening. As more of our private medical data becomes available to A.I. in specific situations, machine intelligence will get better at tracking things humans couldn’t do without the help of A.I.

In 2022 it’s common knowledge that sleep disturbances starting years before any symptoms emerge have been linked to a?greater risk ?of developing Alzheimer's disease, the most common form of dementia, and?more severe symptoms .

In about 5 years time, A.I. will be able to piece all of the data together and help people prepare for their future medical conditions years before the actual onset. Even since 2019 we’ve known A.I. could help us track Amyloid plaques better.

As published in?Nature Communications, the researchers from both UC San Francisco and UC Davis?describe a technique that automates? the process of measuring plaques and their different characteristics.

A.I. in Dentistry and Gut Health

As for the “bad bacteria” in gums, older adults with more harmful than healthy bacteria in their gums are more likely to have evidence for amyloid beta—a key biomarker for Alzheimer’s disease—in their cerebrospinal fluid (CSF), according to?new research from NYU College ?of Dentistry and Weill Cornell Medicine (April, 2021).

Alzheimer’s disease is characterized by two hallmark proteins in the brain: amyloid beta, which clumps together to form plaques and is believed to be the first protein deposited in the brain as Alzheimer’s develops, and tau, which builds up in nerve cells and forms tangles.?

Advances in neuroscience, gut health and sleep and language sciences means A.I. will have more tools to help early diagnosis and treatment of the disease. It's long been thought that over time, clumps of misfolded proteins – including one called amyloid-beta –?accumulate in the brain to cause Alzheimer's disease, which is a neurological condition marked by memory loss and slow cognitive decline.

Imbalances in gut microbes could contribute to amyloid plaques in the brain, and raise risk of Alzheimer's disease,?researchers suggest . Researchers noted that previous studies have shown that those with the condition tend to have altered gut microbiota compared to those without dementia. This is not surprising, given our recent breakthrough in the understanding of the importance of gut health.

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A.I. Analyzing fMRI Images

It's long been thought that over time, clumps of misfolded proteins – including one called amyloid-beta –?accumulate in the brain to cause Alzheimer's disease, which is a neurological condition marked by memory loss and slow cognitive decline. A.I. at the intersection of fMRI data will also significantly improve.

Manually analyzing of fMRI images attempting to identify the changes associated with Alzheimer’s not only requires specific knowledge but is also time-consuming – application of Deep learning and other AI methods can speed this up by a significant time margin. A.I. using a multi-factor approach given all the available relevant data would be able to give higher degrees of probability with regards to the risk of Alzheimer’s and probable outcomes.

If you enjoy my articles here you might enjoy a new Newsletter I’m starting around Quantum computing, innovation and genomics called?Quantum Foundry .

Word Usage a Predictor

While historically Alzheimer’s disease is notoriously difficult to diagnose, that won’t be the case even five years from now by 2027. Typically, doctors use a combination of cognitive tests, brain imaging, and observation of behavior that can be expensive and time-consuming. New models used writing samples to predict the onset of the disease with 70 percent accuracy.

Voice samples can also weight in to the extent that companies are making some grand promises. In the era of Telehealth we’ll find new ways as well to contribute to our A.I. based understanding of Alzheimer signs and symptoms.

A company called?Canary Speech ?is creating technology to do just that. Using deep learning, its algorithms analyze short voice samples for signs of Alzheimer’s and other conditions. Deep learning provider?Syntiant ?recently?announced ?a collaboration with Canary Speech, which will allow Canary to take a technology that is mostly used in doctor’s offices and hospitals into a person’s home via a medical device.

Most people think of Alzheimer’s disease, the most common form of dementia, as affecting memory. But?research ?suggests that Alzheimer’s can impact speech and language even in the disease’s earliest stages, before most symptoms are noticeable. A.I. would it seems is also better at picking out this than humans are capable of doing.

These and other applications of A.I. relevant to Dementia and Alzheimer’s along with an aging global population are among the reasons why I think in 5 short years time, A.I. will be helping us diagnose Alzheimer’s disease at scale by 2027. This would also reduce medical healthcare costs as our treatment plans also evolve with new drugs that A.I. will be helping us discover.

I see a increasingly significant impact of A.I. in helping us deal with chronic diseases in general but especially with Dementia and Alzheimer’s in the next twenty years. Additionally in the next five years there will be more studies of even more indicators and early signs and symptoms of Alzheimer’s we have not discovered where deep learning may be implicated. It’s early days for the intersection of A.I. with our healthcare systems and R&D in the medical field.

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