Topics

Topics of interest include, but are not limited to: 

• Data Fusion Techniques for Healthcare: Novel algorithms and methods for integrating heterogeneous data sources such as imaging, genomics, EHRs, and wearable sensors. 

• Multimodal AI for Disease Diagnosis and Prognosis: AI-driven approaches combining various data types for more accurate diagnosis, disease progression prediction, and personalized treatment strategies. 

• Natural Language Processing (NLP) and Multimodal Data Integration: The use of NLP to extract insights from clinical notes and 1 combine them with structured and unstructured data (e.g., EHRs, imaging) for improved decision support. 

• Ethical and Fairness Challenges in Multimodal AI: Addressing bias, data privacy, and the ethical challenges that arise when using multi-modal datasets in healthcare applications.

• Multimodal AI for Personalized Medicine: Leveraging AI to integrate genomic, phenotypic, and clinical data for individualized treatment plans and drug discovery.

• Multimodal AI for Personalized Medicine: Leveraging AI to integrate genomic, phenotypic, and clinical data for individualized treatment plans and drug discovery.

• AI in Multimodal Medical Imaging: Techniques for combining imaging data (e.g., MRI, CT, X-ray) with other modalities for enhanced diagnostic accuracy and clinical insights. 

• Multimodal AI in Remote and Telemedicine Applications: AIdriven integration of data from telemedicine platforms, remote sensors, and patient-reported outcomes for long-distance clinical care. 

• Resilient Multimodal Artificial Intelligence: Developing systems that operate effectively in challenging, noisy, incomplete, and uncertain real-world biomedical settings. 

• Explainable AI (XAI) in Multimodal Healthcare Systems: Methods for enhancing the transparency and interpretability of multimodal AI models, ensuring that clinicians and patients can trust AI-driven decisions. 

• Performance Evaluation: Methods and metrics for assessing the performance of multimodal learning models in biomedicine.

 Workshop Chairs

• Prof. Consuelo Gonzalo-Martin, Ph.D., Universidad Politecnica de Madrid, consuelo.gonzalo@upm.es

• Prof. Angel Mario Garcia-Pedrero, Ph.D., Universidad Politecnica de Madrid, angelmario.garcia@upm.es

• Eng. Michela Gravina, Ph.D., University of Naples Federico II, michela.gravina@unina.it

• Eng. Antonio Galli, Ph.D., University of Naples Federico II, antonio.galli@unina.it

• Eng. Valerio Guarrasi, Ph.D., University of Rome Campus Bio-Medico, valerio.guarrasi@unicampus.it

• Eng. Meryeme Boumahdi, Ph.D., Universidad Politecnica de Madrid, m.boumahdi@alumnos.upm.es