Method for image-based classification to detect diseases such as Alzheimer’s using microscopy images of human dried plasma samples
Method for image-based classification to detect diseases such as Alzheimer’s using microscopy images of human dried plasma samples
M. Abedi, A. Seifert
Priority date:
CIC nanoGUNE IP portfolio - Method for image-based classification to detect diseases such as Alzheimer’s using microscopy images of human dried plasma samples
Ownership
CIC nanoGUNE
Description
A microscopy image from a single droplet of blood plasma — a window into Alzheimer’s
This approach analyzes the patterns formed by dehydrated plasma droplets, linking their structural and statistical characteristics to the presence and progression of Alzheimer’s disease. It enables detection across early and late stages while also differentiating Alzheimer’s from other conditions.
Advantages
- Minimally invasive: Comfortable and well-suited for elderly patients.
- Safe and repeatable: Involves no radiation or painful procedures, allowing frequent monitoring.
- User-friendly: Requires no specialized training or complex equipment.
- Widely accessible: Can be implemented in diverse healthcare settings, including resource-limited environments.
- High accuracy: Demonstrated performance exceeds 90%.