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A 6-gene panel as a signature to predict recovery from advanced heart failure using transcriptomic analysis

Genes & Diseases 2022年第5期9卷 1178-1180页

作者： shangjie zou Bee Luan Khoo Department of Biomedical Engineering City University of Hong KongHong KongPR China Hong Kong Center for Cerebro-Cardiovascular Health Engineering(COCHE) Hong KongPR China

To the Editor:Heart failure(HF)is a global health problem with a high mortality *** various stimuli associated with HF can cause maladaptive remodeling,gradually weakening car-diac *** ventricular assist device(LVAD)can improve advanced HF patients’cardiac functions,termed“reverse remodeling”.1 However,only a small percentage of patients who have received LVAD have experienced reverse remodeling.

关键词： mortality remodeling patients

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A deformability-based biochip for precise label-free stratification of metastatic subtypes using deep learning

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Microsystems & Nanoengineering 2023年第5期9卷 161-176页

作者： Haojun Hua shangjie zou Zhiqiang Ma Wang Guo Ching Yin Fong Bee Luan Khoo City University of Hong Kong 83 Tat Chee AvenueKowloonHong Kong 999077China Hong Kong Center for Cerebro-Cardiovascular Health Engineering(COCHE) Hong Kong 999077China City University of Hong Kong Futian-Shenzhen Research Institute Shenzhen 518057China

Cellular deformability is a promising biomarker for evaluating the physiological state of cells in medical *** has emerged as a powerful technique for measuring cellular ***,existing microfluidic-based assays for measuring cellular deformability rely heavily on image analysis,which can limit their scalability for high-throughput ***,we develop a parallel constriction-based microfluidic flow cytometry device and an integrated computational framework(ATMQcD).The ATMQcD framework includes automatic training set generation,multiple object tracking,segmentation,and cellular deformability *** system was validated using cancer cell lines of varying metastatic potential,achieving a classification accuracy of 92.4%for invasiveness assessment and stratifying cancer cells before and after hypoxia *** ATMQcD system also demonstrated excellent performance in distinguishing cancer cells from leukocytes(accuracy=89.5%).We developed a mechanical model based on power-law rheology to quantify stiffness,which was fitted with measured data *** model evaluated metastatic potentials for multiple cancer types and mixed cell populations,even under realworld clinical *** study presents a highly robust and transferable computational framework for multiobject tracking and deformation measurement tasks in *** believe that this platform has the potential to pave the way for high-throughput analysis in clinical applications,providing a powerful tool for evaluating cellular deformability and assessing the physiological state of cells.

关键词： deformability metastatic precise

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