Jaume Bacardit

简介

I am a Professor of Artificial Intelligence at the School of Computing of Newcastle University since 2017. I am affiliated to the Interdisciplinary Computing and Complex BioSystems (ICOS) research group. My areas of expertise are artificial intelligence, bioinformatics and biomedical data analytics. My research interests include the development of machine learning methods for large-scale problems and their application to challenging problems, mostly involving biological data.

教育经历

• BEng Computer Engineering, Ramon Llull University, 1998
• MEng Computer Engineering, Ramon Llull University, 2000
• PhD Computer Science, Ramon Llull University, 2004

代表成果

• Huang Y, Wipat A, Bacardit J. Transcriptional biomarker discovery toward building a load stress reporting system for engineered Escherichia coli strains. Biotechnology and Bioengineering 2024
• Wirth W, et al. Test–retest precision and longitudinal cartilage thickness loss in the IMI-APPROACH cohort. Osteoarthritis and Cartilage 2023
• Shirt-Ediss B, et al. Reverse engineering DNA origami nanostructure designs from raw scaffold and staple sequence list. Computational and Structural Biotechnology Journal 2023
• Jansen MP, et al. Machine-learning predicted and actual 2-year structural progression in the IMI-APPROACH cohort. Quantitative Imaging in Medicine and Surgery 2023
• Taylor C, Guy J, Bacardit J. Estimating individual-level pig growth trajectories from group-level weight time series using machine learning. Computers and Electronics in Agriculture 2023
• Widera P, et al. Development and validation of a machine learning-supported strategy of patient selection for osteoarthritis clinical trials. Osteoarthritis Cartilage Open 2023
• Iqbal S, et al. Deep learning identification of coronary artery disease from bilateral finger photoplethysmography sensing: A proof-of-concept study. Biomedical Signal Processing and Control 2023
• Iqbal S, et al. Deep learning classification of systemic sclerosis from multi-site photoplethysmography signals. Frontiers in Physiology 2023
• Wang Q, et al. A machine learning approach reveals features related to clinicians' diagnosis of clinically relevant knee osteoarthritis. Rheumatology 2023
• Huang Y, et al. A knowledge integration strategy for the selection of a robust multi-stress biomarkers panel for Bacillus subtilis. Synthetic and Systems Biotechnology 2023