Dr Conchita Vens

Reader in Translational Radiobiology (Clinical Research Garscube)

telephone: 01413304665
email: Conchita.Vens@glasgow.ac.uk
pronouns: She/her/hers

School of Cancer Science, Wolfson Wohl Cancer Research Centre, Bearsden, Glasgow, G61 1BD

Import to contacts

Research interests

Research groups

Cancer Hallmarks to Novel Therapies
Comprehensive Cancer Models
Re-imagining Radiotherapy
Health Inequalities to Cancer Outcomes

Publications

List by: Type | Date

Jump to: 2024 | 2023 | 2022

Number of items: 4.

2024

Vens, C. et al. (2024) A joint physics and radiobiology DREAM team vision - towards better response prediction models to advance radiotherapy. Radiotherapy and Oncology, 196, 110277. (doi: 10.1016/j.radonc.2024.110277) (PMID:38670264)

Ahmadian, M. et al. (2024) Overcoming data scarcity in radiomics/radiogenomics using synthetic radiomic features. Computers in Biology and Medicine, 174, 108389. (doi: 10.1016/j.compbiomed.2024.108389) (PMID:38593640)

2023

Van der Hulst, H. J. et al. (2023) The prediction of biological features using magnetic resonance imaging in head and neck squamous cell carcinoma: a systematic review and meta-analysis. Cancers, 15(20), 5077. (doi: 10.3390/cancers15205077) (PMID:37894447) (PMCID:PMC10605807)

2022

van der Wiel, A. M. A., Schuitmaker, L., Cong, Y., Theys, J., Van Hoeck, A., Vens, C., Lambin, P., Yaromina, A. and Dubois, L. J. (2022) Homologous recombination deficiency scar: mutations and beyond—implications for precision oncology. Cancers, 14(17), 4157. (doi: 10.3390/cancers14174157) (PMID:36077694) (PMCID:PMC9454578)

This list was generated on Fri Jul 26 17:50:03 2024 BST.

Jump to: Articles

Number of items: 4.

Articles

Vens, C. et al. (2024) A joint physics and radiobiology DREAM team vision - towards better response prediction models to advance radiotherapy. Radiotherapy and Oncology, 196, 110277. (doi: 10.1016/j.radonc.2024.110277) (PMID:38670264)

Ahmadian, M. et al. (2024) Overcoming data scarcity in radiomics/radiogenomics using synthetic radiomic features. Computers in Biology and Medicine, 174, 108389. (doi: 10.1016/j.compbiomed.2024.108389) (PMID:38593640)

Van der Hulst, H. J. et al. (2023) The prediction of biological features using magnetic resonance imaging in head and neck squamous cell carcinoma: a systematic review and meta-analysis. Cancers, 15(20), 5077. (doi: 10.3390/cancers15205077) (PMID:37894447) (PMCID:PMC10605807)

van der Wiel, A. M. A., Schuitmaker, L., Cong, Y., Theys, J., Van Hoeck, A., Vens, C., Lambin, P., Yaromina, A. and Dubois, L. J. (2022) Homologous recombination deficiency scar: mutations and beyond—implications for precision oncology. Cancers, 14(17), 4157. (doi: 10.3390/cancers14174157) (PMID:36077694) (PMCID:PMC9454578)

This list was generated on Fri Jul 26 17:50:03 2024 BST.

Grants

Grants and Awards listed are those received whilst working with the University of Glasgow.

Characterisation of GBM-specific overexpression of DNA polymerase beta and its potential role in mitochondrial DNA repair.
Cancer Research UK
2023 - 2023
Advancing sustainable forage-based livestock production systems in Colombia
Beatson Cancer Charity
2022 - 2024
Overcoming hypoxia mediated resistance to radiotherapy-PARP inhibitor combinations inglioblastoma.
Cancer Research UK
2022 - 2023
Translational Radiotherapy research in HNSCC Workshop
Cancer Research UK
2022 - 2023