The VHIO-CRIS Precision Oncology Data and Digitalization Program drives innovation in precision oncology and digitalization by enhancing multimodal data sharing across the institute’s different research groups. By integrating diverse datasets, the program optimizes data application for clinical support and reinforces VHIO’s Transversal Services Unit.

The program aims to position VHIO as a leader in cutting-edge data analytics and large-scale research studies that drive the development of new therapies. It also fosters the creation of digital tools for diagnosis, prognosis, prediction, and prevention, with the ultimate goal of improving patient outcomes and maintaining VHIO’s leadership in cancer research.

Driving Innovation in Data Science and Oncology

The VHIO-CRIS program supports the establishment of new multimodal data digitalization units, including Oncology Data Science (Odyssey) Group, Bioinformatics Unit, Biostatistics Unit, and Data Engineering for Research Unit. These units work collaboratively to expand VHIO’s capabilities in data-driven oncology research.

A key focus is the development of digital platforms for integrating and analyzing multimodal oncology data, encompassing transcriptomics, genomics, immunomics, metagenomics, and epigenomics.
Additionally, the program fosters the creation of AI-powered tools for data and medical image analysis, including radiomics and digital pathology, further advancing precision medicine applications.

Technological Framework

Through its advanced technological framework, the program supports key research initiatives, including:

• Investigating the impact of the exposome on cancer patients with solid tumors.
• Conducting large-scale analyses of immune evasion mechanisms in various cancer types.
• Performing multidimensional (Real-World Data) and molecular analyses to identify causal and predictive factors for cancer.

Knowledge Sharing, Training, and Talent Development

Beyond research, the VHIO-CRIS program actively promotes knowledge exchange, education, and talent attraction. The Bioinformatics Unit coordinates an internal network dedicated to sharing expertise and optimizing resources.

One of its flagship initiatives is the Biocomputational-Bioinformatics Journal Club, a monthly forum where participants discuss emerging topics in the field. In addition, to further support young talent, the program sponsors the Computational Oncology Master’s Thesis Award, recognizing outstanding research in Computational Life Sciences from Spanish universities.