6 citations · 8 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
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…
CaresAI at BioCreative IX Track 1 -- LLM for Biomedical QA
Reem Abdel-Salam, Mary Adewunmi, Modinat A. Abayomi
Large language models (LLMs) are increasingly evident for accurate question answering across various domains. However, rigorous evaluation of their performance on complex question-…
Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning
Reem Abdel-Salam, Mary Adewunmi
Health Mention Classification (HMC) plays a critical role in leveraging social media posts for real-time tracking and public health monitoring. Nevertheless, the process of HMC pre…