Department of Medical Science, University of Aveiro, 3810-193 Aveiro, PortugalBiotechnology; clinical biochemistry; metabolomics; proteomics; peptidomics; mass spectrometry; biomarkers; bioinformatics; body fluids; head neck cancer; therapeutic peptides
Dr. Rui Vitorino works in the Department of Medical Sciences at the University of Aveiro, where he is the principal investigator. His expertise in OMICS, especially in proteomics and bioinformatics, makes him a pioneer in this field. Dr. Vitorino's research focuses on the detailed analysis of biofluids, such as saliva and urine, to decipher molecular pathways associated with different disease phenotypes. He employs a variety of multidisciplinary techniques for protein enrichment and biofluid analysis, all aimed at improving the detection and understanding of disease biomarkers. Since receiving his PhD in biochemistry in 2004, Dr. Vitorino has made significant contributions to proteomics. His innovative work has been instrumental in overcoming previous analytical challenges and potentially changing the landscape of early disease detection and risk assessment through the creation of comprehensive multimarker panels. His research spans a broad range of areas, including molecular and cell biology. His work is characterised by its thoroughness, from conducting detailed mechanistic studies to performing preliminary investigations and confirmatory studies, all underpinned by sound methodology and the addition of valuable data and insights that have the potential to influence future research. Dr. Vitorino’s academic track record is marked by over 240 publications, more than 7400 citations and an h-index of 38. He is involved in over 40 scientific projects, many of which are supported by the European Union and involve international collaborations. Dr. Vitorino is known for his expertise in the field of proteomics. He has collaborated with various research groups worldwide and has been instrumental in major projects such as the EU-ETN and COST Actions. His work is a testament not only to his deep knowledge of the field, but also to his commitment to promoting scientific understanding and collaboration.
This special issue will explore the intersection of clinical bioinformatics and clinical trials, emphasizing their role in transforming omics data into actionable insights for precision medicine. With the growing complexity of biomedical data, clinical bioinformatics has become indispensable for integrating genomics, proteomics, metabolomics, and other omics layers into clinical decision-making. Clinical trials, in turn, serve as the foundation for validating these insights and bringing novel therapies to patients.
The special issue aims to address the challenges and opportunities at this intersection, showcasing how computational tools, big data analytics, and innovative trial designs can accelerate the translation of omics discoveries into therapeutic advancements.
Key Topics
We invite submissions on the following themes:
Clinical Bioinformatics in Translational Research
- Development and application of bioinformatics pipelines for clinical datasets.
- Multi-omics integration for biomarker discovery and patient stratification.
- Bioinformatics approaches to predict therapeutic response and resistance.
Innovations in Clinical Trial Design
- Omics-guided clinical trial designs for precision medicine.
- Adaptive trial methodologies incorporating real-time bioinformatics data.
- Role of digital health and wearable devices in omics-based trials.
- Real-world data and AI-powered analytics in post-trial surveillance.
Bridging Bioinformatics and Clinical Implementation
- Validation of bioinformatics-based biomarkers in clinical settings.
- Case studies on integrating bioinformatics into clinical trial workflows.
- Ethical considerations and regulatory compliance in bioinformatics for clinical trials.
- Data harmonization and standards for clinical bioinformatics tools.
AI and Machine Learning in Clinical Bioinformatics
- AI-driven models for patient recruitment and trial design.
- Predictive analytics for clinical outcomes using omics data.
- Machine learning approaches for identifying and validating biomarkers.
- Challenges in integrating AI into regulatory-approved clinical workflows.
Future Perspectives in Bioinformatics and Trials
- Computational methods for real-time trial monitoring and decision-making.
- Precision oncology trials leveraging genomics and proteomics insights.
- Advances in pharmacogenomics for drug development and repurposing.
- Collaborative efforts in data sharing across clinical bioinformatics platforms.
Submission Guidelines
Submissions may include original research, reviews, case studies, perspectives, or technical notes. Manuscripts should emphasize the translational impact of bioinformatics and clinical trials in advancing precision medicine.