- Machine learning-enabled solutions to improve diagnostic and prognostic accuracy in patients with severe brain injury: challenges and perspectives.
- Multimodal Learning in Healthcare: From Wearable Sensing to Clinical AI Decision-Making.
- Open-Source Initiatives in Digital Health: Challenges Faced and Lessons Learned.
- Enabling Closed-Loop Technologies for Mental Health: Biobehavioral Sensor Informatics and Just-in-Time Interventions.
- Recent Advances in Cuffless Blood Pressure Measurement.
- AI for Neurodiversity: Advancements and Opportunities.
- Intelligent healthcare system with medical data fusion.
- Trustworthy and responsible data analytics for mental health.
- Artificial Intelligence (AI) in Critical Care.
- Recent Advances in Statistical Methodologies with applications in Health and Medical Informatics.
- State-of-the-Art in Predictive Analytics for Inpatient Care.
- Recent Advances in Cuffless Blood Pressure Measurement.