Digital Brain

Dutch mathematical model predicts course of Alzheimer’s with greater accuracy

Results could have transformative effect on treatment, understanding of cognitive decline
Life

12 July 2024

A new computational model developed by the Alzheimer Center Amsterdam, as given doctors new insight into how the disease works. The model uses data from 1,000 patients and provides insight into the rate of cognitive decline. This gives patients a better idea of their future, despite the natural uncertainty associated with such predictions. It is a tool for health care providers to improve communication about expectations of disease progression. The study was published this week in the journal Neurology.

The development of this new computational model is a breakthrough in the care of Alzheimer’s patients. The model, based on extensive data and advanced algorithms, provides perspective on what was previously considered unpredictable. By entering characteristics such as age, gender, cognitive abilities before diagnosis, brain scans and biomarkers, healthcare professionals can estimate the degree of deterioration with greater precision.

The prediction model does not offer absolute certainty. The complexity of Alzheimer’s and the individual differences between patients make a perfect prediction impossible. Nevertheless, this model is an important step forward. It makes the disease more tangible and gives patients a better understanding of what to expect.

 

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Wiesje van der Flier, scientific director of the Alzheimer Center Amsterdam, emphasised the importance of the conversation between doctor and patient. The prediction model serves as a starting point for this conversation. It helps caregivers discuss the uncertainty of prognosis while giving an impression of what the patient can expect.

This model is an example of how science and technology can innovate patient care. Instead of a general outline of the disease course, a more personalized prediction can now be made. This contributes to the quality of life for patients and the ability for healthcare providers to provide more targeted support.

Although the model is already adding value to physician-patient communication, researchers are looking to the future. There are plans to develop a prototype app and use it in scientific studies. This app will improve usability for both healthcare professionals and patients.

In the longer term, the model could also be used to explain the effectiveness of future treatments. If it becomes possible to treat Alzheimer’s in the future, the model could help clarify what patients can expect from such treatments.

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