TFinder App: Artificial intelligence to diagnose tick fever agents and assess parasitemia/bacteremia in bovine blood smears.

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Title: TFinder App: Artificial intelligence to diagnose tick fever agents and assess parasitemia/bacteremia in bovine blood smears.
Authors: Trindade ASN; Center of Veterinary Parasitology, School of Veterinary Science and Animal Science, Federal University of Goiás, Goiânia, Goiás, Brazil., de Moraes IML; Center of Veterinary Parasitology, School of Veterinary Science and Animal Science, Federal University of Goiás, Goiânia, Goiás, Brazil., Leal LLLL; Center of Veterinary Parasitology, School of Veterinary Science and Animal Science, Federal University of Goiás, Goiânia, Goiás, Brazil., Salvador VF; Center of Veterinary Parasitology, School of Veterinary Science and Animal Science, Federal University of Goiás, Goiânia, Goiás, Brazil., Heller LM; Center of Veterinary Parasitology, School of Veterinary Science and Animal Science, Federal University of Goiás, Goiânia, Goiás, Brazil., Zapa DMB; Center of Veterinary Parasitology, School of Veterinary Science and Animal Science, Federal University of Goiás, Goiânia, Goiás, Brazil., de Aquino LM; Center of Veterinary Parasitology, School of Veterinary Science and Animal Science, Federal University of Goiás, Goiânia, Goiás, Brazil., Ferreira LL; Department of Preventive Veterinary Medicine, School of Veterinary Medicine, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil., Lopes WDZ; Center of Veterinary Parasitology, School of Veterinary Science and Animal Science, Federal University of Goiás, Goiânia, Goiás, Brazil; Department of Biosciences and Technology, Institute of Tropical Pathology and Public Health, Federal University of Goiás, Goiânia, Goiás, Brazil. Electronic address: wdzlopes@hotmail.com.
Source: Veterinary parasitology [Vet Parasitol] 2025 Feb; Vol. 334, pp. 110415. Date of Electronic Publication: 2025 Feb 09.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 7602745 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2550 (Electronic) Linking ISSN: 03044017 NLM ISO Abbreviation: Vet Parasitol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-2550
DOI:10.1016/j.vetpar.2025.110415