Research Interests
Dr. Arriel Benis's research utilizes artificial intelligence (AI), biomedical and health informatics (BMHI), data science, and biomedical engineering (BME) to address critical challenges in healthcare and discovery. He focuses on developing data-driven solutions that improve population health, enhance personalized medicine, and promote sustainable healthcare systems. His main research areas focus on "AI and Predictive Modelling", "Biomedical Informatics and Digital Health ", "One Digital Health and Sustainability", and "Education and Workforce Development".
AI and Predictive Modeling: Dr. Benis develops predictive models and decision support systems by mining and analyzing large-scale clinical, biomedical, and social datasets. Arriel Benis's work ensures data is interoperable and complies with FAIR (Findable, Accessible, Interoperable, Reusable) principles. This approach enables him to develop intelligent systems that can accurately predict disease progression, optimize treatment strategies, and personalize patient care.
Biomedical Informatics and Digital Health: Dr. Benis integrates diverse data sources, including electronic health records (EHRs), surveys, wearables, and digital communications, to enhance clinical workflows and support patient-centered digital health innovation. This work enables extensive, multicenter studies and improves care delivery by driving knowledge discovery, informing policy, and promoting BMHI and digital health innovation. This interdisciplinary approach is grounded in the principles of BME, which applies engineering concepts to complex biological and medical problems.
One Digital Health (ODH) and Sustainability: Through the One Digital Health framework, which connects One Health and Digital Health, Arriel Benis designs and develops systemic strategies that link digital health innovations with environmental monitoring. The goal is to create climate- and society-responsive solutions for sustainable healthcare systems. This focus area combines engineering with global health challenges, demonstrating how BMHI and BME can be used to build resilient and sustainable healthcare systems.
Education and Workforce Development Dr. Benis is committed to strengthening the biomedical workforce by advancing interdisciplinary training in AI, informatics, and digital health. He leads international educational initiatives, such as the MIMO (Medical Informatics and Digital Health Multilingual Ontology) project, to foster the next generation of innovators.