A5094045687- Digital Imaging for Blood Diseases
- COVID-19 diagnosis using AI
- Parasitic Diseases Research and Treatment
- Multiple Myeloma Research and Treatments
- Smart Agriculture and AI
- Mosquito-borne diseases and control
- Species Distribution and Climate Change
- Viral Infections and Vectors
- AI in cancer detection
Chagas disease affects 6–7 million people worldwide and causes approximately 12,000 deaths annually. Diagnostic methods vary by stage, with serological tests commonly used in the chronic phase, while microscopy molecular techniques like PCR LAMP are employed acute phase. While remains most accessible tool resource constrained settings, its effectiveness depends on skilled personnel, creating diagnostic bottlenecks. To overcome these limitations, we developed a portable, smartphone-integrated...
A bstract Bloodborne parasitic diseases such as malaria, filariasis or chagas pose significant challenges in clinical diagnosis, with microscopy the primary tool for diagnosis. However, limitations time-consuming processes and dependence on trained microscopists is critical, particularly resource-constrained settings. Deep learning techniques have shown value to interpret images using large annotated databases training. In this work, we propose a methodology leveraging self-supervised...