About the Project
This multidisciplinary study focuses on developing a deep learning–based diagnostic model that integrates three forms of data:
- Clinical Images
Captured via smartphone from:
-
- Lower palpebral conjunctiva
- Dorsum of tongue
- Palmar surfaces
- All finger nailbeds
- Microscopic Images
-
- High-quality peripheral blood smear (PBS) images
- Whole-slide imaging consultation
- 40× & 100× magnification (10 images per participant)
- Numerical Laboratory Parameters
-
- Complete blood count (CBC & indices)
- Iron studies (serum iron, ferritin, TIBC, transferrin saturation)
- Reticulocyte count
- Liver & renal function tests
- HPLC for hemoglobinopathies
Sickling test, Vitamin assays