3 papers
cs.AI2026
Shaping Scientific Explanations to Expert Perspectives with Persona-Conditioned Reinforcement Learning
Susana Nunes, Tiago Guerreiro, Catia Pesquita
Explainable AI is increasingly important to scientific discovery. However, existing methods largely ignore that explanation quality is not universal: experts differ in how they ass…
q-bio.QM2025
ECKO: Explainable Clinical Knowledge for Oncology
Marta Contreiras Silva, Daniel Faria, Laura Balbi +13
Personalized oncology aims to tailor treatment strategies to the unique molecular and clinical profiles of individual patients, moving beyond the traditional paradigm of treating t…
cs.AI2025
Rewarding Explainability in Drug Repurposing with Knowledge Graphs
Susana Nunes, Samy Badreddine, Catia Pesquita
Knowledge graphs (KGs) are powerful tools for modelling complex, multi-relational data and supporting hypothesis generation, particularly in applications like drug repurposing. How…