DEVELOPMENT AND APPLICATION OF NOVEL COMPUTATIONAL METHODS AND STRATEGIES FOR THE CHARACTERISATION OF HUMAN DISEASES.
Our research focuses on developing computational methods to better understand human diseases. Main research lines:
- Ageing and Age-Related Diseases: Identifying expression patterns in neurological, cancer, and metabolic diseases to study ageing.
- Improving the understanding of molecular mechanisms in brain disorders: a) Generation of single-cell and spatial atlases to decipher sex differences in neurodegenerative diseases (Parkinson’s disease, Alzheimer’s disease, amyotrophic lateral sclerosis and multiple sclerosis); b) Identification of biological pathways in behavioural alteration pathologies (schizophrenia); c) Study of differential sex profiles in neuroinflammation associated with alcohol use disorders, through integrative multi-omics strategies.
- Finding novel biomarkers in cancer: a) Development and application of big-data analysis methods for the identification of novel diagnostic and progression biomarkers in cancer studies; b) Neurobiology of cancer: description of the role of the nervous system in oncological diseases and identification of possible clinical implications in oncology.
- Clinical targets and predictors in metabolic disorders: a) Detection of potential clinical targets in obesity, diabetes and MAFLD (metabolic associated fatty liver disease) through massive analysis of omics data; b) Clinical predictors based on high-throughput technologies and artificial intelligence methods.
PRESENTATION
GET TO KNOW US BETTER
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CIPF Cluster Platform for Research in the Valencian Community
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METAFUN Data Science and Gender
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RESEARCH STAFF
THE PEOPLE WHO MAKE IT ALL POSSIBLE
Francisco García García
fgarcia@cipf.es
Cristina Galiana Roselló
cgaliana@cipf.es
Irene Soler Saez
isoler@cipf.es
Borja Gómez Cabañes
bgomezc@cipf.es
Fernando Gordillo González
fgordillo@cipf.es
Rubén Sánchez García
rsanchez@cipf.es
Rubén Grillo Risco
rgrillo@cipf.es
PUBLICATIONS
OUR SCIENTIFIC CONTRIBUTIONS
An integrated approach to identifying sex-specific genes, transcription factors, and pathways relevant to Alzheimer's disease.
NEUROBIOLOGY OF DISEASE 2024 Sep, DOI: 10.1016/j.nbd.2024.106605, Vol. 199, pag. 106605-106605
MetaFun: unveiling sex-based differences in multiple transcriptomic studies through comprehensive functional meta-analysis.
Biology of Sex Differences 2024 Aug, DOI: 10.1186/s13293-024-00640-0, Vol. 15, pag. 66-66
Unveiling sex-based differences in Parkinson's disease: a comprehensive meta-analysis of transcriptomic studies.
Biology of Sex Differences 2022 Nov, DOI: 10.1186/s13293-022-00477-5, Vol. 13, pag. 68-68
FUNDING
THANK YOU FOR SUPPORTING US
The Joint Action ‘Enhancing digital capabilities of cancer centres in Europe to improve prevention and care’ (eCAN Plus) is a flagship EU project in digital oncology and cross-border health data exchange. Its goal is to make the benefits of digital health accessible to all citizens, patients and healthcare professionals.
The initiative involves 81 organisations from 23 European countries. Together, they seek to address the increasing incidence of cancer, expected to rise by 20% by 2040. As part of this effort and building on the eCAN Joint Action’s experience (2022-2024), this project involves testing and piloting the safe and secure integration of digital tools and health data in order to improve the use and re-use of health data. The growing adoption of telemedicine tools and the European Health Data Space’s legal framework provide the foundation for implementing these mechanisms.
Through comprehensive mapping of current scenarios, training programmes, use cases, and pilots, eCAN Plus also intends to strengthen collaboration among cancer centres and enhance the digital skills of healthcare professionals. Moreover, by gathering and sharing knowledge from participating countries, eCAN Plus expects to develop recommendations and highlight best practices along the cancer care pathway, thereby improving patients’ access to effective healthcare.
This project started on the 1st of May of 2025 and lasts until the 30th of April of 2029. It has been co-funded by the European Union (EU4Health Programme; Grant N° 101219434). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or HaDEA. Neither the European Union nor the granting authority can be held responsible for them.