Image of Dr Sandra Ortega-Martorell

Dr Sandra Ortega-Martorell

School of Computer Science and Mathematics

Faculty of Engineering and Technology

Reader in Data Science

Dr Ortega-Martorell's research interest is in Artificial Intelligence (AI) and Machine Learning (ML), especially AI/ML translation to healthcare. She is the leader of a major project in digital twin technology development (TARGET, https://target-horizon.eu/), which aims to accelerate the development of personalised computational models to assist clinical decision-making and help deliver optimised patient management strategies.

Selected roles/activities:
• Co-programme leader MSc Data Science, LJMU, 2020 - 2021
• Academic coordinator, MSc in Big Data Science and Analytics, University of Bahrain, 2020–2022
• EPSRC Peer Review College, Full member, 2018 - present
• EPSRC Peer Review College Associate member, 2016 - 2018
• UKRI EPSRC Prioritisation Panel Member 2020
• International Mobility Coordinator for Mathematics, 2017 - 2021

Teaching subjects:
• Big Data computing, MSc Data Science. 2017 - present
• Work-based project, MSc Data Science. 2021 - 2022
• Introduction to Data Analytics (some lectures), MSc Data Science. 2017 - present
• Introduction to Data Science, BSc Mathematics. 2021 - present
• Data Mining, BSc Mathematics. 2016 - 2021

Degrees

2012, Autonomous University of Barcelona, Spain, PhD, Computer Science

Certifications

2024, AdvanceHE, United Kingdom, Fellowship HEA

preprint

Sante A, Font AS, Ortega-Martorell S, Olier I, McCarthy IG. 2024. Applying machine learning to Galactic Archaeology: how well can we recover the origin of stars in Milky Way-like galaxies? Author Url

Journal article

Bellfield RAA, Ortega-Martorell S, Lip GYH, Oxborough D, Olier I. 2024. Impact of ECG data format on the performance of machine learning models for the prediction of myocardial infarction Journal of Electrocardiology, 84 :17-26 DOI Author Url Publisher Url Public Url

Wang R, Liu Y, Thabane L, Olier I, Li L, Ortega-Martorell S, Lip GYH, Li G. 2024. Relationship between trajectories of dietary iron intake and risk of type 2 diabetes mellitus: evidence from a prospective cohort study Nutrition Journal, 23 :15 DOI Author Url Publisher Url Public Url

Ungan G, Pons-Escoda A, Ulinic D, Arús C, Ortega-Martorell S, Olier I, Vellido A, Majós C, Julià-Sapé M. 2024. Early pseudoprogression and progression lesions in glioblastoma patients are both metabolically heterogeneous NMR in Biomedicine, :1-12 DOI Author Url Publisher Url Public Url

Palermi S, Vecchiato M, Saglietto A, Niederseer D, Oxborough D, Ortega-Martorell S, Olier I, Castelletti S, Baggish A, Maffessanti F, Biffi A, D’Andrea A, Zorzi A, Cavarretta E, D’Ascenzi F. 2024. Unlocking the potential of artificial intelligence in sports cardiology: does it have a role in evaluating athlete’s heart? European Journal of Preventive Cardiology, DOI Author Url Publisher Url Public Url

Sumera K, Ilczak T, Bakkerud M, Lane JD, Pallas J, Martorell SO, Sumera A, Webster CA, Quinn T, Sandars J, Siriwardena AN. 2024. CPR Quality Officer role to improve CPR quality: A multi-centred international simulation randomised control trial Resuscitation Plus, 17 :1-6 DOI Author Url Publisher Url Public Url

Aikodon N, Ortega-Martorell S, Olier-Caparroso I. 2023. Predicting Decompensation Risk in Intensive Care Unit Patients Using Machine Learning Algorithms, 17 DOI Publisher Url Public Url

Ortega-Martorell S, Bellfield RAA, Harrison S, Drewery D, Williams N, Olier-Caparroso I. 2023. Mapping the global free expression landscape using machine learning SN Applied Sciences, 5 DOI Publisher Url Public Url

Ortega-Martorell S, Olier I, Johnston BW, Welters ID. 2023. Sepsis-induced coagulopathy is associated with new episodes of atrial fibrillation in patients admitted to critical care in sinus rhythm Frontiers in Medicine, 10 DOI Author Url Publisher Url Public Url

Ortega Martorell S, Olier I, Hernandez O, Restrepo-Galvis PD, Bellfield RAA, Candiota AP. 2023. Tracking Therapy Response in Glioblastoma Using 1D Convolutional Neural Networks Cancers, 15 DOI Author Url Publisher Url Public Url

Wang R, Gerstein HC, Van Spall HGC, Lip GYH, Olier I, Ortega-Martorell S, Thabane L, Ye Z, Li G. 2023. Relationship between remnant cholesterol and risk of heart failure in participants with diabetes mellitus European heart journal. Quality of care & clinical outcomes, 9 :537-545 DOI Author Url Publisher Url Public Url

Walters B, Ortega-Martorell S, Olier I, Lisboa PJG. 2023. How to Open a Black Box Classifier for Tabular Data Algorithms, 16 DOI Publisher Url Public Url

Heseltine T, Hughes E, Mattew J, Murray S, Ortega-Martorell S, Olier I, Dey D, Lip GYH, Khoo S. 2023. The association of epicardial adipose tissue volume and density with coronary calcium in HIV-positive and HIV-negative patients Journal of Infection, DOI Author Url Publisher Url Public Url

Vinciguerra M, Olier I, Ortega-Martorell S, Lip GYH. 2022. New use for an old drug: Metformin and atrial fibrillation. Cell reports. Medicine, 3 DOI Author Url Publisher Url Public Url

Lisboa PJG, Jayabalan M, Ortega-Martorell S, Olier I, Medved D, Nilsson J. 2022. Enhanced survival prediction using explainable artificial intelligence in heart transplantation. Scientific Reports, 12 DOI Author Url Publisher Url Public Url

Mohammed SJ, Zubaidi SL, Ortega-Martorell S, Al-Ansari N, Ethaib S, Hashim K. 2022. Application of hybrid machine learning models and data pre-processing to predict water level of watersheds: Recent trends and future perspective Cogent Engineering, 9 DOI Publisher Url Public Url

Bellfield RAA, Ortega-Martorell S, Lip GYH, Oxborough D, Olier I. 2022. The Athlete’s Heart and Machine Learning: A Review of Current Implementations and Gaps for Future Research Journal of Cardiovascular Development and Disease, 9 DOI Author Url Publisher Url Public Url

Zubaidi S, Al-Bdairi NSS, Ortega Martorell S, Ridha HM, Al-Bugharbee H, Hashim KS, Gharghan SK. 2022. Assessing the Benefits of Nature-Inspired Algorithms for the Parameterisation of ANN in the Prediction of Water Demand Journal of Water Resources Planning and Management, 149 DOI Publisher Url Public Url

Wang R, Olier I, Ortega-Martorell S, Liu Y, Ye Z, Lip GYH, Li G. 2022. Association between metabolically healthy obesity and risk of atrial fibrillation: taking physical activity into consideration Cardiovascular Diabetology, 21 DOI Author Url Publisher Url Public Url

Ortega Martorell S, Riley P, Olier-Caparroso I, Raidou RG, Casaña-Eslava RV, Rea M, Shen L, Lisboa PJG, Palmieri C. 2022. Breast cancer patient characterisation and visualisation using deep learning and fisher information networks Scientific Reports, 12 :14004 DOI Author Url Publisher Url Public Url

Pieroni M, Olier-Caparroso I, Ortega Martorell S, Johnston B, Welters I. 2022. In-hospital mortality of sepsis differs depending on the origin of infection: an investigation of predisposing factors Frontiers in Medicine - Intensive care medicine and anesthesiology, 9 DOI Author Url Publisher Url Public Url

Khudhair ZS, Zubaidi SL, Ortega-Martorell S, Al-Ansari N, Ethaib S, Hashim KS. 2022. A Review of Hybrid Soft Computing and Data Pre-Processing Techniques to Forecast Freshwater Quality’s Parameters: Current Trends and Future Directions Environments, 9 DOI Publisher Url Public Url

Ortega-Martorell S, Pieroni M, Johnston BW, Olier I, Welters ID. 2022. Development of a Risk Prediction Model for New Episodes of Atrial Fibrillation in Medical-Surgical Critically Ill Patients Using the AmsterdamUMCdb Frontiers in Cardiovascular Medicine, 9 DOI Author Url Publisher Url Public Url

Givnan S, Chalmers C, Fergus P, Ortega-martorell S, Whalley T. 2022. Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors Sensors, 22 :3166 DOI Author Url Publisher Url Public Url

Hernández-Villegas Y, Ortega-Martorell S, Arús C, Vellido A, Julià-Sapé M. 2022. Extraction of artefactual MRS patterns from a large database using non-negative matrix factorization. NMR in biomedicine, 35 :e4193 DOI Author Url Publisher Url Public Url

Heseltine T, Murray S, Ortega Martorell S, Olier-Caparroso I, Lip GYH, Khoo S. 2021. Associations of Hepatosteatosis with Cardiovascular Disease in HIV Positive and HIV Negative Patients: The Liverpool HIV-Heart Project Journal of Acquired Immune Deficiency Syndromes, 87 :1221-1227 DOI Author Url Publisher Url Public Url

Olier I, Ortega-Martorell S, Pieroni M, Lip GYH. 2021. How machine learning is impacting research in atrial fibrillation: Implications for risk prediction and future management Cardiovascular Research, 117 :1700-1717 DOI Author Url Publisher Url Public Url

Casaña-Eslava RV, Jarman IH, Ortega-Martorell S, Lisboa PJG, Martín-Guerrero JD. 2020. Music genre profiling based on Fisher manifolds and Probabilistic Quantum Clustering Neural Computing and Applications, DOI Author Url Publisher Url Public Url

Zubaidi SL, Ortega-Martorell S, Al-Bugharbee H, Olier I, Hashim KS, Gharghan SK, Kot P, Al-Khaddar R. 2020. Urban Water Demand Prediction for a City That Suffers from Climate Change and Population Growth: Gauteng Province Case Study Water, 12 :1885-1885 DOI Author Url Publisher Url Public Url

Casaña-Eslava RV, Ortega-Martorell S, Lisboa PJ, Candiota AP, Julià-Sapé M, Martín-Guerrero JD, Jarman IH. 2020. Robust Conditional Independence maps of single-voxel Magnetic Resonance Spectra to elucidate associations between brain tumours and metabolites. PLoS One, 15 DOI Author Url Publisher Url Public Url

Zubaidi S, Al-Bugharbee H, Ortega Martorell S, Gharghan SK, Olier I, Hashim KS, Al-Bdairi NSS, Kot P. 2020. A Novel Methodology for Prediction Urban Water Demand by Wavelet Denoising and Adaptive Neuro-Fuzzy Inference System Approach Water, 12 DOI Author Url Publisher Url Public Url

Zubaidi S, Ortega Martorell S, Kot P, Al Khaddar RM, Abdellatif M, Gharghan S, Ahmed M, Hashim KS. 2020. A Method for Predicting Long-term Municipal Water Demands Under Climate Change Water Resources Management, 34 :1265-1279 DOI Author Url Publisher Url Public Url

Casaña-Eslava RV, Lisboa P, Ortega-Martorell S, Jarman I, Martin-Guerrera J. 2020. Probabilistic quantum clustering Knowledge-Based Systems, DOI Author Url Publisher Url Public Url

Wu S, Calero-Pérez P, Villamañan L, Arias-Ramos N, Pumarola M, Ortega Martorell S, Julià-Sapé M, Arús C, Candiota AP. 2020. Anti-tumour immune response in GL261 glioblastoma generated by Temozolamide Immune-Enhancing Metronomic Schedule monitored with MRSI-based nosological images NMR in Biomedicine, 33 DOI Author Url Publisher Url Public Url

Ortega-Martorell S, Candiota AP, Thomson R, Riley P, Julia-Sape M, Olier I. 2019. Embedding MRI information into MRSI data source extraction improves brain tumour delineation in animal models. PloS one, 14 :e0220809 DOI Author Url Publisher Url Public Url

Zubaidi S, Dooley J, Alkhaddar R, Abdellatif M, Al-Bugharbee H, Ortega-Martorell S. 2018. A Novel Approach for Predicting Monthly Water Demand by Combining Singular Spectrum Analysis with Neural Networks Journal of Hydrology, 561 :136-145 DOI Author Url Publisher Url Public Url

Jiménez-Xarrié E, Davila M, Candiota AP, Delgado-Mederos R, Ortega-Martorell S, Julià-Sapé M, Arús C, Martí-Fàbregas J. 2017. Brain metabolic pattern analysis using a magnetic resonance spectra classification software in experimental stroke BMC Neuroscience, 18 DOI Author Url Publisher Url Public Url

Delgado-Goñi T, Ortega Martorell S, Ciezka M, Olier I, Candiota AP, Julià-Sapé M, Fernández F, Pumarola M, Lisboa P, Arús C. 2016. MRSI-based molecular imaging of therapy response to temozolomide in preclinical glioblastoma using source analysis NMR in Biomedicine, 29 :732-743 DOI Author Url Publisher Url Public Url

Mocioiu V, Ortega-Martorell S, Olier I, Jablonski M, Starcukova J, Lisboa P, Arús C, Julià-Sapé M. 2015. From raw data to data-analysis for magnetic resonance spectroscopy - the missing link: jMRUI2XML. BMC Bioinformatics, 16 :1-11 DOI Author Url Publisher Url Public Url

Simões RV, Ortega-Martorell S, Delgado-Goñi T, Le Fur Y, Pumarola M, Candiota AP, Martín J, Stoyanova R, Cozzone PJ, Julià-Sapé M, Arús C. 2013. Improving the classification of brain tumors in mice with Perturbation Enhanced (PE)-MRSI Integrative Biology, 4 :183-191 DOI Author Url Publisher Url

Ortega-Martorell S, Ruiz H, Vellido A, Olier I, Romero E, Julia-Sape M, Martin JD, Jarman I, Arus C, Lisboa P. 2013. A Novel Semi-Supervised Methodology for Extracting Tumor Type-Specific MRS Sources in Human Brain Data PLOS ONE, 8 :1-14 DOI Author Url Publisher Url Public Url

Vilamala A, Vellido A, Lisboa PJG, Ortega-Martorell S. 2013. Discriminant Convex Non-negative Matrix Factorization for the classification of human brain tumours Pattern Recognition Letters, DOI Author Url Publisher Url

Ortega-Martorell S, Lisboa PJG, Vellido A, Julià-Sapé M, Arús C. 2012. Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours. BMC Bioinformatics, 13 :38 DOI Author Url Publisher Url

Ortega-Martorell S, Lisboa PJG, Vellido A, Simões RV, Pumarola M, Julià-Sapé M, Arús C. 2012. Convex non-negative matrix factorization for brain tumor delimitation from MRSI data. PLoS One, 7 :e47824 DOI Author Url Publisher Url

Ortega-Martorell S, Olier I, Julià-Sapé M, Arús C. 2010. SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system BMC Bioinformatics, 11 :106 DOI Author Url Publisher Url Public Url

Sante A, Font AS, Ortega-Martorell S, Olier I, McCarthy IG. Applying machine learning to Galactic Archaeology: how well can we recover the origin of stars in Milky Way-like galaxies? Monthly Notices of the Royal Astronomical Society, DOI Publisher Url

Editorial/letter to the editor

Wang R, Gerstein HC, Van Spall HG, Lip GY, Olier I, Ortega-Martorell S, Thabane L, Ye Z, Li G. 2023. Relationship between remnant cholesterol and risk of heart failure in participants with diabetes mellitus: reply. European heart journal. Quality of care & clinical outcomes, :qcad038-qcad038 DOI Author Url Publisher Url

Witham MD, Cooper R, Bowden Davies KA, Ortega-Martorell S, Stewart CE, Sayer AA. 2022. Ageing Research Translation: a new era for UK geroscience Nature Aging, 2 :867-868 DOI Author Url Publisher Url

Conference publication

Walters B, Ortega Martorell S, Olier-Caparroso I, Lisboa P. 2022. Towards interpretable machine learning for clinical decision support Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks DOI Publisher Url Public Url

Walters B, Ortega-Martorell S, Olier I, Lisboa PJG. 2021. The partial response SVM ESANN 2021 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2021 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning DOI Publisher Url Public Url

Olier-Caparroso I, Sansom A, Lisboa P, Ortega-Martorell S. 2021. Using MLP partial responses to explain in-hospital mortality in ICU 2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI), 2020 International Conference on Data Analytics for Business and Industry DOI Publisher Url Public Url

Riley P, Olier I, Rea M, Lisboa P, Ortega-Martorell S. 2020. A Voting Ensemble Method to Assist the Diagnosis of Prostate Cancer Using Multiparametric MRI Advances in Intelligent Systems and Computing, 976 :294-303 DOI Publisher Url Public Url

Srivastava M, Olier I, Riley P, Lisboa P, Ortega-Martorell S. 2020. Classifying and Grouping Mammography Images into Communities Using Fisher Information Networks to Assist the Diagnosis of Breast Cancer Advances in Intelligent Systems and Computing, 13th International Workshop, WSOM+ 2019 976 :304-313 DOI Publisher Url Public Url

Lisboa PJG, Ortega-Martorell S, Olier I. 2020. Explaining the Neural Network: A Case Study to Model the Incidence of Cervical Cancer Communications in Computer and Information Science, 1237 CCIS :585-598 DOI Publisher Url

Lisboa PJG, Ortega-Martorell S, Jayabalan M, Olier I. 2020. Efficient Estimation of General Additive Neural Networks: A Case Study for CTG Data Koprinska I, Kamp M, Appice A, Loglisci C, Antonie L, Zimmermann A, Guidotti R, Ozgobek O. ECML PKDD 2020 WORKSHOPS, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 1323 :432-446 DOI Author Url Publisher Url

Marnell S, Riley P, Olier I, Rea M, Ortega-Martorell S. 2019. A comparative assessment of Feed-Forward and Convolutional Neural Networks for the classification of prostate lesions Lecture Notes in Computer Science, 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) :132-138 DOI Author Url Publisher Url Public Url

Casana-Eslava RV, Martin-Guerrero JD, Ortega-Martorell S, Lisboa PJ, Jarman IH. 2019. Scalable implementation of measuring distances in a Riemannian manifold based on the Fisher Information metric Proceedings of the International Joint Conference on Neural Networks, 2019-July DOI Author Url Publisher Url

Mocioiu V, De Barros NMP, Ortega-Martorell S, Slotboom J, Knecht U, Arús C, Vellido A, Julià-Sapé M. 2016. A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases ESANN 2016 - 24th European Symposium on Artificial Neural Networks, ESANN 2016 - 24th European Symposium on Artificial Neural Networks ES2016 Publisher Url Public Url

Ortega-Martorell S, Olier I, Delgado-Goni T, Ciezka M, Julià-Sapé M, Lisboa P, Arús C. 2015. Semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapy. CIDM 2014: Computational Intelligence and Data Mining (CIDM), 2014 IEEE Symposium on, 2014 IEEE Symposium on Computation Intelligence and Data Mining :93-98 DOI Author Url Publisher Url Public Url

Ortega-Martorell S, Olier I, Julià-Sapé M, Arús C, Lisboa P. 2014. Automatic relevance source determination in human brain tumors using Bayesian NMF. 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) :99-104 DOI Author Url Publisher Url Public Url

Lisboa PJG, Jarman IH, Etchells TA, Chambers SJ, Bacciu D, Whittaker J, Garibaldi JM, Ortega-Martorell S, Vellido A, Ellis IO. 2012. Discovering hidden pathways in bioinformatics Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7548 LNBI :49-60 DOI Publisher Url

Ruiz H, Ortega-Martorell S, Jarman IH, Vellido A, Martin JD, Romero E, Lisboa PJG. 2012. Towards interpretable classifiers with blind signal separation Proceedings of the International Joint Conference on Neural Networks, DOI Author Url Publisher Url

Ruiz H, Ortega-Martorell S, Jarman IH, Martín JD, Lisboa P. 2012. Constructing similarity networks using the Fisher information metric Publisher Url

Ortega-Martorell S, Lisboa PJG, Vellido A, Simões RV, Julià-Sapé M, Arús C. 2011. Brain tumor pathological area delimitation through Non-negative Matrix Factorization Proceedings - IEEE International Conference on Data Mining, ICDM, :1058-1063 DOI Publisher Url

Ortega-Martorell S, Vellido A, Lisboa PJG, Julià-Sapé M, Arús C. 2011. Spectral decomposition methods for the analysis of MRS information from human brain tumors Proceedings of the International Joint Conference on Neural Networks, :3279-3284 DOI Author Url Publisher Url

Ortega-Martorell S, Olier I, Vellido A, Julià-Sapé M, Arús C. 2010. Spectral Prototype Extraction for dimensionality reduction in brain tumour diagnosis Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010, :445-450 Publisher Url

Panagiotidi S, Vázquez-Salceda J, Álvarez-Napagao S, Ortega-Martorell S, Willmott S, Confalonieri R, Storms P. 2008. Intelligent contracting agents language AISB 2008 Convention: Communication, Interaction and Social Intelligence - Proceedings of the AISB 2008 Symposium on Behaviour Regulation in Multi-Agent Systems, :49-54

McCabe P, Ortega Martorell S, Olier-Caparroso I. Benchmarking multi-task learning in predictive models for drug discovery International Joint Conference on Neural Networks (IJCNN) DOI Author Url Publisher Url

Chapters

McCabe PG, Olier I, Ortega-Martorell S, Jarman I, Baltzopoulos V, Lisboa P. 2019. Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis 11872 LNCS :114-122 DOI Author Url Publisher Url

Ortega-Martorell S, Julià-Sapé M, Lisboa P, Arús C. 2016. Pattern Recognition Analysis of MR Spectra Griffiths J, Bottomley P. Handbook of in vivo Magnetic Resonance Spectroscopy John Wiley & Sons 978-1-118-99766-6 DOI Publisher Url Public Url

Other

Mocioiu V, Ortega Martorell S, Olier I, Jablonski M, Starcukova J, Lisboa P, Arús C, Julià-Sapé M. 2015. jMRUI plugin software (jMRUI2XML) to allow automated MRS processing and XMLbased standardized output European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) 2015,

Pedrosa de Barros NM, Mocioiu V, Ortega Martorell S, Knecht U, Arús C, Slotboom J, Julià-Sapé M. 2015. Highlighting differences between GBM and brain metastasis using a blind source separation method applied to MRSI data European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) 2015,

Mocioiu V, Pedrosa de Barros NM, Ortega Martorell S, Knecht U, Slotboom J, Arús C, Julià-Sapé M. 2015. Differentiating Glioblastomas from brain Metastases by means of Convex nonnegative Matrix Factorization European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) 2015,

Ortega Martorell S, Delgado-Goñi T, Olier I, Ciezka M, Candiota AP, Julià-Sapé M, Pumarola M, Lisboa P, Arús C. 2015. Tracking therapy response in pre-clinical glioblastoma using source-based nosologic images European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) 2015,

Ortega Martorell S, Olier I, Delgado-Goñi T, Ciezka M, Candiota AP, Julià-Sapé M, Pumarola M, Lisboa P, Arús C. 2015. Source-based nosologic imaging of response to therapy in pre-clinical glioblastoma International Society for Magnetic Resonance in Medicine (ISMRM) 2015,

Ciezka M, Delgado-Goñi T, Ortega-Martorell S, Olier I, Julià-Sapé M, Candiota AP, Lisboa P. 2014. Nosological imaging of glioblastoma response to therapy XIV Congress of the Spanish Biophysical Society 2014,

Ortega Martorell S, Lisboa PJG, Vellido A, Simões RV, Pumarola M, Julià-Sapé M, Arús C. 2012. Unsupervised tumour area delimitation in glioblastoma multiforme using non-negative matrix factorisation of MRSI grids European Society for Magnetic Resonance in Medicine and Biology (ESMRMB),

Ortega Martorell S, Julià-Sapé M, García-Chacón A, Arús C. 2012. An integrated framework to produce classifiers for MRS data and to visualise them into a decision-support system European Society for Magnetic Resonance in Medicine and Biology (ESMRMB),

Ortega Martorell S, Lisboa P, Vellido A, Simões RV, Pumarola M, Julià-Sapé M, Arús C. 2012. Delimitation of the solid tumour area in glioblastomas using Non-negative Matrix Factorisation 10th IEEE International Symposium on Biomedical Imaging (ISBI),

Ortega Martorell S, Lisboa PJG, Vellido A, Simões RV, Pumarola M, Julià-Sapé M, Arús C. 2012. Tumour area delimitation in glioblastoma multiforme using non-negative matrix factorisation IMA Conference on Mathematics of Medical Devices and Surgical Procedures,

Ortega Martorell S, Olier I, Vellido A, Lisboa PJG, El-Deredy W. 2011. Comparing independent component analysis and non-negative matrix factorisation in the identification of event-related brain dynamics 11th International Conference on Cognitive Neuroscience (ICON XI),

Simões RV, Ortega Martorell S, Delgado-Goñi T, le Fur Y, Pumarola M, Candiota AP, Cozzone PJ, Juliá-Sapè M, Arús C. 2010. Improving the classification of brain tumors in mice with perturbation enhanced (PE)-MRSI 16th International Charles Heidelberger Symposium on Cancer Research,

Ortega Martorell S, Olier I, Vellido A, Julià-Sapé M, Arús C. 2010. Spectral Prototype Extraction for the discrimination of glioblastomas from metastases in a SV 1H-MRS brain tumour database International Society for Magnetic Resonance in Medicine (ISMRM),

Simões RV, Ortega Martorell S, Acosta M, Pumarola M, Candiota AP, Julià-Sapé M, Arús C. 2010. Improving tumor classification with MRSI pattern perturbation Cambridge Research Institute Annual International Symposium,

Julià-Sapé M, Majós C, Ortega-Martorell S, Olier I, Cos M, Aguilera C, Arús C. 2009. Choosing optimal classifiers for 1.5T SV 1H-MRS data for pseudotumoural brain diseases European Society for Magnetic Resonance in Medicine and Biology (ESMRMB),

Ortega Martorell S, Olier I, Julià-Sapé M, Arús C. 2009. TumourClassifier 1.0, a java solution for a fast development of MRS-based classifiers European Society for Magnetic Resonance in Medicine and Biology (ESMRMB),

Ortega Martorell S, Olier I, Julià-Sapé M, Arús C. 2009. TumourClassifier, a java tool for fast development and implementation of MRS- based classifiers International Society for Magnetic Resonance in Medicine (ISMRM),

Public engagement:

Public talk or lecture, General public, Speaker, Murphy's Distillery & Bar, Pint of Science 2024. Talk: "Digital twins: the AI revolution in healthcare is here!", Dr Sandra Ortega-Martorell, Dr Ivan Olier, and Prof Gregory Lip, discussed how AI and digital twins are transforming healthcare, and how the EU Horizon project TARGET is developing novel AI and digital twin technologies for the personalised care of stroke patients., https://pintofscience.co.uk/event/dive-into-the-human-body. 2024

Research Grants Awarded:

BBSRC, UK Ageing Networks 1-year extension: Ageing Research Translation (ART) of Healthy Ageing Network, Sandra Ortega-Martorell, Grant value (£): £113,580, Duration of research project: 1 year. 2024

EU Horizon Europe, TARGET: Health virtual twins for the personalised management of stroke related to atrial fibrillation, Sandra Ortega-Martorell; Ivan Olier; Gregory Lip, Grant value (£): 10,000,000 EUR, Duration of research project: 5 years. 2023

EU Horizon Europe, ARISTOTELES: Applying ARtificial Intelligence to define clinical trajectorieS for personalized predicTiOn and early deTEction of comorbidity and multimorbidity pattErnS, Dr Ivan Olier; Dr Sandra Ortega-Martorell; Professor Gregory Lip, Grant value (£): 6,000,000, Duration of research project: 5 years. 2023

UKHSA/Tackling Antimicrobial Resistance external commission call, Use of routinely collected electronic health record data to predict anti-microbial resistance in chronic P. aeruginosa lung infection, Prof Gregory Lip (Liverpool); Dr Freddy Frost (Liverpool); Dr Ivan Olier (LJMU); Dr Sandra Ortega-Martorell (LJMU), Grant value (£): £30,450.00, Duration of research project: 1 year. 2023

BBSRC/Newcastle University, Developing an Implementation Framework for Stair Falls Interventions., Dr Emma Mulliner; Dr Thomas O’Brien; Dr Sandra Ortega-Martorell; [...], Grant value (£): 10,000, Duration of research project: 7 months. 2022

BBSRC/Newcastle University, Muscle Proteome Dynamics to Inform Healthy Ageing, Prof Jatin Burniston (LJMU); Dr Sandra Ortega-Martorell; [...], Grant value (£): 10,000, Duration of research project: 9 months. 2022

LHCH-Matched, Machine Learning in post-operative AF, Dr Ivan Olier (LJMU); Dr Sandra Ortega-Martorell (LJMU); Prof Gregory Lip (Liverpool); Prof Ian Jones (LJMU); Bil Kirmani (LHCH), Grant value (£): £65,356.00, Duration of research project: 36 months. 2022

Biotechnology and Biological Sciences Research Council, Ageing Research Translation (ART) of Healthy Ageing Network, M Witham, Newcastle University; R Cooper, Newcastle University; A Sayer, Newcastle University; K Davies; Manchester Metropolitan University; C Stewart, Liverpool John Moores University; S Ortega-Martorell, Liverpool John Moores University, Grant value (£): £202,143, Duration of research project: 2 years. 2022

UA Doctoral Training Alliance. DTA3/COFUND Marie Skłodowska-Curie PhD Fellowship programme 2019, Multi-systems modelling approaches to healthy ageing, Dr Claire Stewart; Dr Sandra Ortega-Martorell, Grant value (£): 62,406, Duration of research project: 36 Months. 2018

LJMU PhD Scholarship Application 2019, Multi-modal intra-subject identification and segmentation of prostate cancer, Dr Sandra Ortega-Martorell; Dr Ivan Olier, Grant value (£): 62406, Duration of research project: 36 months. 2018

Index on Censorhip, Development of a new index for Index on Censorship, Dr Ivan Olier; Dr Sandra Ortega-Martorell, Grant value (£): £5,000, Duration of research project: 3 months.

LJMU PhD Scholarship Application 2020, Developing artificial intelligence models for predicting the risk of atrial fibrillation in hypertense patients, Dr Sandra Ortega-Martorell, Grant value (£): £62,406, Duration of research project: 36 months.

LJMU PhD Scholarship Application 2020, Early biomarker of therapy response in glioblastoma: decoding the immune system with advanced machine learning, Dr Sandra Ortega-Martorell; Dr Ivan Olier, Grant value (£): £62,406, Duration of research project: 36 months.

LJMU PhD Scholarship Application 2020, Trust in AI for Decision Support in Medicine, Dr Sandra Ortega-Martorell; Dr Ivan Olier; Prof Paulo Lisboa, Grant value (£): £62,406, Duration of research project: 36 months.

LJMU QR Policy Support Fund 2022-23, DECIPHER: Derivation of the Clinical Phenotypes of Atrial Fibrillation using Artificial Intelligence, Dr Sandra Ortega-Martorell; Dr Ivan Olier; Prof Ian Jones; Prof Gregory Lip, Grant value (£): £9,937.20, Duration of research project: 6 months.

LJMU Thematic Doctoral Pathways, Misconceptions in the Treatment of Hypertension (MITH), Dr Ellen Dawson (LJMU); Dr Sandra Ortega-Martorell (LJMU); Dr Ivan Olier (LJMU); Prof Gregory Lip (Liverpool); Prof Ian Jones (LJMU); [...]., Grant value (£): £430,524.00, Duration of research project: 36.

UKRI/STFC Centre for Doctoral Training, Liverpool Centre for Doctoral Training for Innovation in Data Intensive Science, Dr Andreea Font (LJMU); Prof Ian McCarthy (LJMU); Dr Ivan Olier (LJMU); Dr Sandra Ortega-Martorell (LJMU); Prof Carsten Peter Welsch (PI, Liverpool), Grant value (£): £1,300,000.00, Duration of research project: 72 months.

Media Coverage:

Project ARISTOTELES sets the stage for innovative breakthroughs at upcoming kick-off meeting 2024

€10 million study to predict heart and stroke disease 2024

TARGET | €10m project on data science-led healthcare led by LJMU 2023
liverpoolhealthpartners.org.uk
www.ljmu.ac.uk

Mapping new global censorship index using machine learning 2023
www.theguardian.com
www.indexoncensorship.org
www.ljmu.ac.uk

Teaching qualification:

Fellowship of the Higher Education Academy (FHEA). 2024

CIEH Level 3 Award in Education and Training. 2015

Editorial boards:

Thrombosis and Haemostasis, Section Editor and Member of the Editorial Board. 2024

Expert Review of Cardiovascular Therapy, Editorial Board Member. 2023

Cancer Imaging and Image-directed Interventions - Frontiers in Oncology, Editor. 2022

PLOS ONE, Academic editor.

External PGR examinations performed:

University of Valencia, PhD, Contributions of biomechanical modelling and machine learning to the automatic registration of Multiparametric Magnetic Resonance and Transrectal Echography for prostate brachytherapy. 2022

Other Professional Activity:

Member of the Liverpool Centre for Cardiovascular Sciences. 2019

Member of the IEEE Medical Data Analysis Task Force of the Computational Intelligence Society. 2014

Award:

Rising Star Award 2018, Liverpool John Moores University. 2018

Fellowships:

Marie Curie Intra-European Fellowships for Career Development (IEF). Call identifier FP7-PEOPLE-2012-IEF, European Commission. Liverpool John Moores University. 2013

Membership of professional bodies:

Chair for the Task Force on Medical Data Analysis, IEEE Computational Intelligence Society.

IEEE member, IEEE.

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