3 papers
cs.CV2026
MORPHA: Morphology-Constrained Training and the Limits of Cross-Acquisition Transfer in Low-Resource Malaria Microscopy
Favour Okechukwu Igwezeke, Chikodili Helen Ugwuishiwu, Joseph Uzochukwu Emesiani +4
In low-resource malaria microscopy, a model trained on one smear preparation routinely meets images from another, and how well morphology-based constraints transfer across this acq…
cs.CL2026
CaresAI at SMM4H-HeaRD 2026: Predicting TNM Staging
Joseph Itopa Abubakar, Jorge Jarme, Favour Igwezeke +1
This study aims to predict Tumor, Node, and Metastasis (TNM) stage labels independently, with the Cancer Genome Atlas (TCGA) pathology report as the sixth shared task of SMM4H-HeaR…
cs.CL2026
CaresAI at CT-DEB26: Detecting Dosing Errors In Clinical Trials Using Domain-Specific Transformer Embeddings and Classification Models
Leon Hamnett, Favour Igwezeke, Joseph Itopa Abubakar +1
Medication errors, particularly dosing errors in clinical trials (CT), can lead to patient harm, adverse drug events and worse patient outcomes. Dosing errors are preventable, and…