IBM machine learning tech can aid the early detection of Alzheimer’s

The smart technology analyses blood samples rather than rely on the intrusive extraction of spinal fluid

AI

IBM researchers have used the power of machine learning to come up with a new way to detect the signs of early Alzheimer's disease through the analysis of blood.

Through the use of IBM's artificial intelligence tech, the researchers were able to apply smart computing to the analysis of proteins in blood, which in turn allowed clinicians to predict the concentration of amyloid-beta, a peptide that's a biological marker of Alzheimer's, in spinal fluid.

From the detection of the peptide, the disease can be spotted even earlier than conducting a brain scan, thereby giving doctors more time to care for a patient with Alzheimer's and potentially slow down the onset of the neurological disease.

Previous early detection of Alzheimer's would involve the extraction and examination of spinal fluid for the concentration of amyloid-beta. But this is an invasive process for a patient, as well as an expensive process.

However, the analysis of blood has thus far proven to be up to 77% accurate and is a lot less invasive than extracting spinal fluid.

While the AI testing is still in its infancy, it does pave the way for clinicians and researchers to find new ways to detect Alzheimer's disease earlier, without needing to put a patient through intrusive tests.

"It could potentially help improve the selection of individuals for drug trials: individuals with mild cognitive impairment who were predicted to have an abnormal concentration of amyloid in their spinal fluid were found to be 2.5 times more likely to develop Alzheimer's disease," said Ben Goudey, staff researcher at IBM Research's genomics research team.

A cure for Alzheimer's currently remains out of reach of researchers and clinicians, even with the power of Ai technology supporting them. But advancements in machine learning techniques ad technology are at least paving the way for faster and improved treatments of such complex diseases.

Featured Resources

Security analytics for your multi-cloud deployments

IBM Security QRadar SIEM solution brief

Download now

Five reasons to move to the cloud

Join the enterprises moving their workloads to the cloud

Download now

Architecting hybrid IT and edge for digital advantage

Why business leaders should consider a hybrid IT strategy

Download now

Six reasons to accelerate remote asset monitoring with AI

How to optimise resources, increase productivity, and grow profit margins with AI

Download now

Recommended

How to become a machine learning engineer
Careers & training

How to become a machine learning engineer

23 Dec 2020
Data science fails: Building AI you can trust
Whitepaper

Data science fails: Building AI you can trust

2 Dec 2020
MLOps 101: The foundation for your AI strategy
Whitepaper

MLOps 101: The foundation for your AI strategy

2 Dec 2020
Realising the benefits of automated machine learning
Whitepaper

Realising the benefits of automated machine learning

2 Dec 2020

Most Popular

How to build a CMS with React and Google Sheets
content management system (CMS)

How to build a CMS with React and Google Sheets

24 Feb 2021
Oxford University COVID lab falls victim to hackers
hacking

Oxford University COVID lab falls victim to hackers

26 Feb 2021
Npower shuts down app after hackers steal user data
hacking

Npower shuts down app after hackers steal user data

25 Feb 2021