Método de clasificación basado en imágenes para detectar enfermedades como el Alzheimer utilizando imágenes microscópicas de muestras de plasma humano seco
Método de clasificación basado en imágenes para detectar enfermedades como el Alzheimer utilizando imágenes microscópicas de muestras de plasma humano seco
M. Abedi, A. Seifert
Priority date:
CIC nanoGUNE
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%.