AIMC Journal:
Parasitology international

Showing 1 to 4 of 4 articles

Automated detection of Eimeria tenella from hematoxylin and eosin-stained chicken cecal tissues using YOLOv4-based deep learning: A proof-of-concept study.

Parasitology international
Avian coccidiosis is a disease primarily characterized by diarrhea caused by intestinal infection with protozoa of the genus Eimeria, causing significant economic impact worldwide. Early diagnosis of infected chickens is crucial for effective control...

Multi-epitope tick vaccines: From computational design to field deployment, immunoinformatics approaches, validation challenges, and translational pathways.

Parasitology international
Ticks are major vectors of pathogens affecting both humans and animals, yet effective and sustainable control strategies remain limited. Conventional vaccines based on the concealed antigen Bm86 provide only partial protection and are often constrain...

Explainable Convolutional Neural Networks for the identification of the Ampullariidae genus.

Parasitology international
Invasive freshwater snails of the family Ampullariidae present significant threats to agriculture, biodiversity, and public health. Recent advances in deep learning have enabled automated identification of medically and agriculturally important snail...

Leveraging machine learning for predicting Opisthorchis viverrini infection in cats: A tool for veterinary epidemiology.

Parasitology international
Opisthorchis viverrini (Ov) infection is a major public health concern in the Greater Mekong Subregion, with cats as key reservoir hosts. Although machine learning (ML) is widely used in human medicine, its application in veterinary epidemiology rema...