AIMC Topic: Cryptosporidiosis

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Machine learning and explainable artificial intelligence for the prevention of waterborne cryptosporidiosis and giardiosis.

Water research Jul 22, 2024
Cryptosporidium and Giardia are important parasitic protozoa due to their zoonotic potential and impact on human health, and have often caused waterborne outbreaks of disease. Detection of (oo)cysts in water matrices is challenging and extremely cost...
Humans Artificial Intelligence Machine Learning Giardiasis Cryptosporidium Giardia Oocysts Cryptosporidiosis Waterborne Diseases
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QSAR and deep learning model for virtual screening of potential inhibitors against Inosine 5' Monophosphate dehydrogenase (IMPDH) of Cryptosporidium parvum.

Journal of molecular graphics & modelling Dec 10, 2021
Cryptosporidium parvum (Cp) causes a gastro-intestinal disease called Cryptosporidiosis. C. parvum Inosine 5' monophosphate dehydrogenase (CpIMPDH) is responsible for the production of guanine nucleotides. In the present study, 37 known urea-based co...
Humans Molecular Docking Simulation Deep Learning Enzyme Inhibitors Quantitative Structure-Activity Relationship IMP Dehydrogenase Inosine Cryptosporidium Cryptosporidiosis Cryptosporidium parvum
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Deep learning-enabled imaging flow cytometry for high-speed Cryptosporidium and Giardia detection.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Feb 20, 2021
Imaging flow cytometry has become a popular technology for bioparticle image analysis because of its capability of capturing thousands of images per second. Nevertheless, the vast number of images generated by imaging flow cytometry imposes great cha...
Humans Deep Learning Flow Cytometry Cryptosporidium Giardia Cryptosporidiosis
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