A recent study merges classical parasitology with AI to classify Capillariidae eggs from archaeological sites. By employing discriminant analysis and clustering methods, researchers clarify species diversity and historical host links. Professionals from renowned institutions suggest exploring these innovative techniques to enhance research practices.

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Capillariid diversity in archaeological material from the New and the Old World: clustering and artificial intelligence approaches