The Bioinformatics and Human Electrophysiology Laboratory (BiHELab) of the Ionian University, under his guidance Professor Panagiotis Vlamou, presents a pioneering development in the field of digital health data study. The laboratory has successfully constructed 10 state-of-the-art Digital Biobanks of TNs, for 10 specific diseases, which promise to contribute the most to biomedical research.

The 10 Digital AI Biobanks developed by BiHELab represent a major leap forward in disease research and clinical applications. Designed to cover a wide range of medical conditions, these unique repositories of valuable biomedical data offer a wide range of high-volume digital data, including medical imaging data, molecular biology data, clinical data and data from activity trackers. With more than 5,000,000 data capturing gene expressions, over 50,000 imaging data, and the sorted integration of more than 300 independent studies, these digital AI biobanks present an unprecedented opportunity to advance the understanding of various diseases.

BiHELab’s AI digital biobanks not only provide a rich collection of data, but also offer an additional provision that exploits Artificial Intelligence. They have proprietary and state-of-the-art AI tools, developed exclusively in the Laboratory, that enable advanced analysis, thus creating a unique opportunity to discover valuable insights into studying and understanding various diseases.

In addition, the platform’s meta-analysis capabilities enable the combination and evaluation of results from multiple, hitherto unconnected, studies and heterogeneous data sets, paving the way for comparative assessments on disease mechanisms, treatment efficacy, and the identification of new or complex of biomarkers.

One of the key advantages of BiHELab’s digital CN biobanks lies in their ability to serve as reliable reference points for researchers and clinicians. The curated metadata these biobanks will provide helps guide the analysis of new protocols, ensuring consistency and comparability across studies.

More specifically, the 10 digital biobanks developed by BiHELab are categorized into five main disease categories, covering a wide range of medical conditions. Categories include neurological disorders [1] Huntington’s disease [2] amyotrophic lateral sclerosis [3] multiple sclerosis, neurodevelopmental disorders [4] autism spectrum disorder, psychiatric disorders [5] post-traumatic stress disorder, infectious diseases [6] Covid-19 and oncological disorders [7] lung cancer [8] skin cancer [9] pancreatic cancer [10] colon cancer. This comprehensive large-scale data collection ensures that researchers have access to a wealth of information to accelerate biomedical research and enable precision medicine approaches.

To ensure data security and privacy, BiHELab’s digital AI biobanks use advanced encryption techniques and provide secure registries. These measures guarantee the protection of sensitive information while facilitating seamless integration with existing data sets. In addition, the platform’s cloud services offer efficient data storage, processing and collaboration, creating an environment conducive to a collaborative and efficient research ecosystem.

In conclusion, the construction of these 10 unique AI Digital Biobanks by the BiHELab of the Ionian University is a remarkable milestone in the field of biomedicine, with interoperability as a cutting edge. The estimated value of these AI digital biobanks takes into account factors such as data volume, artificial intelligence services, meta-analysis capabilities, reference data, biomarker identification, registries, user-friendly data uploading, as well as data security measures and cloud services.

As Ionian University’s BiHELab continues to push the boundaries of innovation, it uniquely promotes collaboration within the scientific community. The produced know-how, the commitment to the continuous pursuit of scientific excellence lay the foundations for a pioneering technology that will undoubtedly add value to the research produced within the Greek public University.