Imaging Informatics Division
Automated Interpretation of Systolic and Diastolic Function on the Echocardiogram: A Multicohort Study
Heart failure is a significant public health problem worldwide. Early diagnosis and treatment can prevent disease progression and reduce the burden on health-care systems. Echocardiography is the most commonly used cardiac imaging modality and is generally considered the primary method for assessing cardiac structure and function in the diagnosis of heart failure.
ReadZyxin Is Involved in Fibroblast Rigidity Sensing and Durotaxis
Focal adhesions (FAs) play an important role in sensing mechanical cues in the extracellular matrix and transducing forces from the extracellular matrix into biological signals (Riveline et al., 2001). The cells can sense and respond to changes in the rigidity of the underlying substrates. When cells are grown on substrates of varying rigidity, they exert larger traction stress and migrate towards more rigid substrates in a phenomenon known as durotaxis (Lo et al., 2000). In order to sense substrate rigidity, the cells apply traction stress through FAs and actin stress fibres to measure mechanical responses of the substrate (Discher et al., 2005; Kobayashi and Sokabe, 2010; Prager-Khoutorsky et al., 2011). While the FA structure of mouse fibroblasts has been elucidated at the nanoscale level (Kanchanawong et al., 2010), little is known about the substrate rigidity sensing mechanisms of the cell.
ReadGroup VIII Metal Carbonyl Cluster-Boronic Acid Conjugates: Cytotoxicity and Mode of Action Studies
A set of metal carbonyl cluster-boronic acid conjugates of the group VIII metals (Fe, Ru, and Os) were synthesized and their antiproliferative effects measured against two breast cancer cell lines (MCF-7 and MDA-MB-231) and a noncancerous breast epithelial (MCF-10A) cell line.
ReadCommon Component in Black-Boxes Is Prone to Attacks
Part of the Lecture Notes in Computer Science book series (LNSC,volume 12972)
ReadLeveraging advances in immunopathology and artificial intelligence to analyze in vitro tumor models in composition and space
Cancer is the leading cause of death worldwide. Unfortunately, efforts to understand this disease are confounded by the complex, heterogenous tumor microenvironment (TME). Better understanding of the TME could lead to novel diagnostic, prognostic, and therapeutic discoveries.
ReadLeveraging advances in immunopathology and artificial intelligence to analyze in vitro tumor models in composition and space
Cancer is the leading cause of death worldwide. Unfortunately, efforts to understand this disease are confounded by the complex, heterogenous tumor microenvironment (TME). Better understanding of the TME could lead to novel diagnostic, prognostic, and therapeutic discoveries. One way to achieve this involves in vitro tumor models that recapitulate the in vivo TME composition and spatial arrangement.
ReadDynamic swimming pattern of Pseudomonas aeruginosa near a vertical wall during initial attachment stages of biofilm formation
Studying the swimming behaviour of bacteria in 3 dimensions (3D) allows us to understand critical biological processes, such as biofilm formation. It is still unclear how near wall swimming behaviour may regulate the initial attachment and biofilm formation.
ReadCAFT: a deep learning‑based comprehensive abdominal fat analysis tool for large cohort studies
Background There is increasing appreciation of the association of obesity beyond co-morbidities, such as cancers, Type 2 diabetes, hypertension, and stroke to also impact upon the muscle to give rise to sarcopenic obesity. Phenotypic knowledge of obesity is crucial for profiling and management of obesity, as different fat—subcutaneous adipose tissue depots (SAT) and visceral adipose tissue depots (VAT) have various degrees of influence on metabolic syndrome and morbidities. Manual segmentation is time consuming and laborious. Study focuses on the development of a deep learning-based, complete data processing pipeline for MRI-based fat analysis, for large cohort studies which include (1) data augmentation and preprocessing (2) model zoo (3) visualization dashboard, and (4) correction tool, for automated quantification of fat compartments SAT and VAT.
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