IBM’s latest AI predicts Alzheimer’s better than standard tests

IBM has developed a new AI model which predicts the onset of Alzheimer’s better than standard clinical tests.

The AI is designed to be non-invasive and uses a short language sample from a verbal cognitive test given to a patient. Using this sample, the AI model is able to predict the onset of Alzheimer’s with around 71 percent accuracy.

For comparison, standard clinical tests are correct approximately 59 percent of the time and take much longer to diagnose. Current...

23 October 2020 | Healthcare

IBM hopes machine learning is the key to solving Alzheimer’s

IBM has developed a machine learning algorithm which shows promise for detecting and slowing the progress of Alzheimer’s disease.

Alzheimer’s is a brutal disease not just for sufferers, but their loved ones too. The disease currently has no cure and causes an increasing loss of memory, confusion, and difficulty completing once familiar tasks.

IBM Australia published a paper today providing details of how machine learning and AI can be used to predict the severity of...

11 March 2019 | Healthcare

DeepMind is using AI for protein folding breakthroughs

Protein folding could help diagnose and treat some of the worst diseases, and DeepMind believes AI can speed up that process. Conditions such as Alzheimer’s, Parkinson’s, Huntington’s, and cystic fibrosis are suspected to be caused by misfolded proteins. Being able to predict a protein’s shape enables a greater understanding of its role within the body. Previous techniques used for determining the shapes of proteins – such as cryo-electron microscopy, nuclear magnetic resonance, and...

3 December 2018 | Healthcare

AI can predict conditions such as Alzheimer’s and schizophrenia

The potential for AI to diagnose and even predict the onset of serious medical conditions is being demonstrated in pioneering research. More reliable predictions Starting with Alzheimer’s disease, the most common cause of dementia, a new algorithm is able to predict its onset with 84 percent accuracy. The author of the research, Sulantha Sanjeewa, a computer scientist at McGill University in Canada, believes it could help to slow or one day even stop the onset of debilitating symptoms which...

30 August 2017 | Healthcare