Search Results - "LEI, Chon Lok"
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3D printed biomimetic cochleae and machine learning co-modelling provides clinical informatics for cochlear implant patients
Published in Nature communications (29-10-2021)“…Cochlear implants restore hearing in patients with severe to profound deafness by delivering electrical stimuli inside the cochlea. Understanding stimulus…”
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Nicotinamide promotes cardiomyocyte derivation and survival through kinase inhibition in human pluripotent stem cells
Published in Cell death & disease (29-11-2021)“…Nicotinamide, the amide form of Vitamin B3, is a common nutrient supplement that plays important role in human fetal development. Nicotinamide has been widely…”
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Calibration of ionic and cellular cardiac electrophysiology models
Published in Wiley interdisciplinary reviews. Systems biology and medicine (01-07-2020)“…Cardiac electrophysiology models are among the most mature and well‐studied mathematical models of biological systems. This maturity is bringing new challenges…”
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Ten simple rules for training scientists to make better software
Published in PLoS computational biology (12-09-2024)Get full text
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A hackable, multi-functional, and modular extrusion 3D printer for soft materials
Published in Scientific reports (19-07-2022)“…Three-dimensional (3D) printing has emerged as a powerful tool for material, food, and life science research and development, where the technology’s…”
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Neural Network Differential Equations For Ion Channel Modelling
Published in Frontiers in physiology (04-08-2021)“…Mathematical models of cardiac ion channels have been widely used to study and predict the behaviour of ion currents. Typically models are built using…”
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Classification of MLH1 Missense VUS Using Protein Structure-Based Deep Learning-Ramachandran Plot-Molecular Dynamics Simulations Method
Published in International journal of molecular sciences (01-01-2024)“…Pathogenic variation in DNA mismatch repair (MMR) gene is associated with Lynch syndrome (LS), an autosomal dominant hereditary cancer. Of the 3798 germline…”
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Empirical Quantification of Predictive Uncertainty Due to Model Discrepancy by Training with an Ensemble of Experimental Designs: An Application to Ion Channel Kinetics
Published in Bulletin of mathematical biology (01-01-2024)“…When using mathematical models to make quantitative predictions for clinical or industrial use, it is important that predictions come with a reliable estimate…”
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Importance of modelling hERG binding in predicting drug-induced action potential prolongations for drug safety assessment
Published in Frontiers in pharmacology (20-03-2023)“…Reduction of the rapid delayed rectifier potassium current ( ) drug binding to the human Ether-à-go-go-Related Gene (hERG) channel is a well recognised…”
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Corrigendum: Heterologous vaccination with inactivated vaccine and mRNA vaccine augments antibodies against both spike and nucleocapsid proteins of SARS-CoV-2: a local study in Macao
Published in Frontiers in immunology (06-02-2024)“…[This corrects the article DOI: 10.3389/fimmu.2023.1131985.]…”
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Heterologous vaccination with inactivated vaccine and mRNA vaccine augments antibodies against both spike and nucleocapsid proteins of SARS-CoV-2: a local study in Macao
Published in Frontiers in immunology (12-05-2023)“…The mRNA vaccines (RVs) can reduce the severity and mortality of severe acute respiratory syndrome coronavirus (SARS-CoV-2). However, almost only the…”
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Integration of deep learning with Ramachandran plot molecular dynamics simulation for genetic variant classification
Published in iScience (17-03-2023)“…Functional classification of genetic variants is a key for their clinical applications in patient care. However, abundant variant data generated by the…”
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Tailoring Mathematical Models to Stem-Cell Derived Cardiomyocyte Lines Can Improve Predictions of Drug-Induced Changes to Their Electrophysiology
Published in Frontiers in physiology (12-12-2017)“…Human induced pluripotent stem cell derived cardiomyocytes (iPSC-CMs) have applications in disease modeling, cell therapy, drug screening and personalized…”
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Probabilistic Inference on Noisy Time Series (PINTS)
Published in Journal of open research software (19-07-2019)“…Time series models are ubiquitous in science, arising in any situation where researchers seek to understand how a system’s behaviour changes over time. A key…”
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A nonlinear and time-dependent leak current in the presence of calcium fluoride patch-clamp seal enhancer
Published in Wellcome open research (01-01-2020)“…Automated patch-clamp platforms are widely used and vital tools in both academia and industry to enable high-throughput studies such as drug screening. A leak…”
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The impact of uncertainty in hERG binding mechanism on in silico predictions of drug‐induced proarrhythmic risk
Published in British journal of pharmacology (01-04-2024)“…Background and Purpose Drug‐induced reduction of the rapid delayed rectifier potassium current carried by the human Ether‐à‐go‐go‐Related Gene (hERG) channel…”
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Rapid Characterization of hERG Channel Kinetics I: Using an Automated High-Throughput System
Published in Biophysical journal (17-12-2019)“…Predicting how pharmaceuticals may affect heart rhythm is a crucial step in drug development and requires a deep understanding of a compound’s action on ion…”
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A Bayesian nonparametric method for detecting rapid changes in disease transmission
Published in Journal of theoretical biology (07-02-2023)“…Whether an outbreak of infectious disease is likely to grow or dissipate is determined through the time-varying reproduction number, Rt. Real-time or…”
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Autocorrelated measurement processes and inference for ordinary differential equation models of biological systems
Published in Journal of the Royal Society interface (22-02-2023)“…Ordinary differential equation models are used to describe dynamic processes across biology. To perform likelihood-based parameter inference on these models,…”
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Model-driven optimal experimental design for calibrating cardiac electrophysiology models
Published in Computer methods and programs in biomedicine (01-10-2023)“…•Current models of cardiac action potentials reflect only an average cell behaviour and ignore cell-to-cell variability.•Optimal single-cell experiments are…”
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