Health

At CITIC we regularly apply AI, data science, and advanced computing to improve healthcare, biomedical research and personalized medicine in research projects related to the intersection between ICT and healthcare. This work includes biological sequence analysis, computational protein structure prediction, molecular descriptor computation, drug discovery methods through advanced algorithms and synthetic health data generation.

The center also develops deep learning techniques for medical imaging, diagnostic image analysis, pathology detection through computer vision, posture monitoring systems and digital twins applied to healthcare, drug designing and human imaging. These technologies help clinicians and researchers accelerate diagnosis, improve treatment design, and enhance healthcare outcomes through data-driven innovation.

A summarized list of this expertise would be as follows:

• Biological sequence processing

• Molecular descriptor calculation software

• Computational protein structure prediction using AI techniques

• Deep learning for medical imaging

• Analysis and processing of diagnostic medical images

• Drug discovery models and methods

• Synthetic data generation models and methods

• Lumbar and cervical posture monitoring system 

• Detection and characterisation of pathologies using artificial vision