Artificial Intelligence

Artificial intelligence (AI) is still in its early stages but has already found applications in biomedicine. At Recellgene we are developing AI systems able to diagnose diseases, provide living assistance and process biomedical information. Our biomedical research also integrates novel AI processes. It is used to classify images, integrate data and make genomic connections, advance drug discovery and find links across different data types, from genomics and imaging to electronic medical records. One of the most immediate AI applications in medicine is in image-processing. Generating 3D images from raw imaging data is complex and cumbersome. Our AI specialists are also developing fast systems that can retrieve raw image data and output processed images within a rapid light-weight user-friendly pipeline, revolutionizing diagnostic imaging. Progress and breakthroughs that our AI department makes will continue to push the frontier and widen the scope of AI applications not only within Recellgene. Through machine learning techniques, neural computing, expert systems, fuzzy logic, genetic algorithms and Bayesian modelling, we are developing complex biomedical systems. These will innovate clinical and computer-based decision support systems that will become invaluable for healthcare professionals. These systems encompass knowledge acquisition and management, medical imaging, computational intelligence to provide essential support for personalized molecular medicine, and predictive health. All this can also be applied to increase efficiency and effectiveness of healthcare organizations.