Research Articles
A High-Throughput Dual Luciferase Reporter Assay for Toxoplasma gondii Bradyzoite Viability and Drug Screening
This article details the development and application of a novel dual luciferase (DuaLuc) reporter assay specifically designed for high-throughput screening of compound efficacy against the chronic, cyst-forming bradyzoite stage of...
High-Throughput Systems for Nematode Motility and Growth: A Comprehensive Guide for Drug Discovery and Phenotypic Screening
This article provides a comprehensive overview of advanced high-throughput systems for quantifying nematode motility and growth, crucial for anthelmintic discovery and phenotypic screening.
Drug Repurposing Screens for Chronic Toxoplasmosis: A New Frontier in Eliminating Persistent Infection
Chronic toxoplasmosis, characterized by persistent tissue cysts, remains a major therapeutic challenge as current treatments are ineffective against the bradyzoite stage.
Advanced Image-Based Antimalarial Drug Screening: Protocols, AI Integration, and High-Content Analysis
This article provides a comprehensive guide to image-based screening protocols for antimalarial drug discovery, tailored for researchers and drug development professionals.
Industrial Scale High-Throughput Screening Delivers Novel Anti-Wolbachia Macrofilaricides
This article details the groundbreaking partnership between the A·WOL consortium and AstraZeneca that established the first industrial-scale high-throughput screening (HTS) campaign for neglected tropical diseases.
High-Throughput Screening for Nematode Motility: A Comprehensive Guide to Assay Development and Hit Discovery
This article provides a comprehensive framework for developing and implementing high-throughput screening (HTS) assays targeting parasitic nematode motility, a critical phenotype for anthelmintic discovery.
Automated Phenotypic Screening for Novel Anthelmintics: High-Throughput Assays and AI-Driven Discovery
The escalating threat of anthelmintic resistance in human and veterinary parasitic nematodes necessitates the accelerated discovery of new therapeutic compounds.
Ensuring Diagnostic Accuracy: A Comprehensive Guide to Inter-Rater Reliability in Parasite Morphology Identification
Accurate parasite identification is foundational to effective disease diagnosis, treatment, and research.
Sensitivity and Specificity in Parasite Diagnostics: From Foundational Concepts to AI and Molecular Innovations
This article provides a comprehensive analysis of sensitivity and specificity across the evolving landscape of parasitic disease diagnostics.
Cross-Dataset Validation of Malaria Parasite Classification Models: Challenges, Strategies, and Clinical Translation
This article provides a comprehensive analysis of cross-dataset validation for deep learning models in malaria parasite classification, a critical step for ensuring real-world clinical applicability.