Data-driven Model for Long-term Prediction of Blood Glucose in Type 2 Diabetes.- Semantic of Automatically Generated Interval-valued Memberships Functions in Brain Magnetic Resonance Images.- Egfr Mutation Prediction Using F18-fdg Pet-ct Based Radiomics Features in Non-small Cell Lung Cancer.- Breast Cancer Risk Analysis Using Deep Learning on Multi-omics Data Combined with Epigenetic Factors.- Predicting Depression History from a Short Reward/Aversion Task with Behavioral Economic Features.- Machine Learning Algorithm for Epileptic Seizure Prediction from Scalp Eeg Records.- Evaluating the Social Media Users’ Mental Health Status During Covid-19 Pandemic Using Deep Learning.- A System Detection of Atrial Fibrillation Using One Ecg Derivation and Inductive Transfer Learning.- Interpretability and Explainability of Machine Learning Models: Achievements and Challenges.- Cardiovascular Risk Assessment: An Interpretable Machine Learning Approach.- Explainability: Actionable Information Extraction.- Analysis, Design and Development of a Digital Application Prototype for Cognitive Assessment and Training.- Voces – an Open Database of Child and Youth Vowels in Spanish for Research Purposes.- Rehastart: Cognitive Tele-rehabilitation Empowered by Vision Transformers.- Development of a Dashboard Analytics Platform for Dementia Caregivers to Understand Diagnostic Test Results.- Usability of the Peruvian National Death Informatics System Sinadef by Attention Levels.