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Open access Sep 2026

PS11-3. A Digital Twin Framework For High-risk FAMACHA Prediction in Goats Using Bioelectrical Impedance Analysis and Grouped Machine Learning.

Early identification of anemia risk in goats is important for improving health monitoring, parasite control, and decision-making at the animal level. This study developed a digital twin-oriented machine learning framework to predict FAMACHA-derived anemia risk using bioelectrical impedance analysis (BIA) and contextu...

P. Batchu, R. Kota, G. Isai et al. · 0 citations
Open access Sep 2026

PS12-6. Hematological and Rheological Determinants of Species-specific Blood Dispersion Patterns for Automated Anemia Detection in Livestock.

Anemia alters hemoglobin concentration, erythrocyte distribution, and blood rheology, leading to measurable changes in fluid dispersion behavior. This study investigated the influence of species-specific hematological and rheological properties on blood-spot patterns captured by an image-based biosensor for automated...

P. Batchu, A. Siddique, David Shapiro-Ilan et al. · 0 citations
Open access Sep 2026

PS12-7. Nested Cross-validated Hyperparameter Optimization and Decision-boundary Analysis for Image-based Anemia Classification in Dairy Goats.

Results indicate that nested cross-validated kernel optimization produces a computationally efficient, bias-controlled framework suitable for real-time, field-deployable anemia screening in dairy goat production.

Priyanka Gurrapu, P. Batchu, A. Siddique et al. · 0 citations

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