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Meta-Analysis and Physiologically-Based Modeling of the Pharmacokinetics and Pharmacodynamics of Dexamethasone in HorsesNARA Subscribed
Purpose Dexamethasone (DEX) is widely used in equine practice for its potent anti-inflammatory effects and diverse studies have examined its pharmacology in horses. We integrated all available pharmacokinetic (PK) and pharmacodynamic (PD) data from 12 studies to quantify DEX disposition and endocrine effects in horses. Methods DEX concentrations in blood, urine and synovial fluid, plus cortisol (CTS) and glucose (GLU) in plasm...
Interpretable deep learning reveals spatiotemporal MRI features of brain aging that align with neurodegenerationNARA Subscribed
Cortical thinning and atrophy are hallmarks of brain aging that have been characterized using magnetic resonance imaging (MRI). Brain aging involves many neuroanatomic features whose effects on brain structure remain unexplored. To address this challenge, we trained interpretable deep neural networks (DNNs) to estimate brain age (BA) from T 1 -weighted ( T 1 w) MRI. By identifying MRI features unapparent to humans, DNNs can fi...
Quadruplexes with a grain of salt: influence of cation type and concentration on DNA G4 stabilityNARA Subscribed
G-quadruplexes (G4) are stabilized by intra-quartet hydrogen bonds stacking between quartets, as well as specific and non-specific ionic interactions. Cation effects on G-quadruplexes differ significantly from those on duplexes, and specific cation coordination is indeed required to stabilize G4 structures. Most studies so far involve “standard” concentrations of potassium or sodium cations because of their prevalence in human...
Rock core logging plays a crucial role in acquiring geological and geotechnical information. However, conventional manual core logging is labor-intensive and requires extensive expertise. To address these challenges, this study proposes a deep learning-based object detection model called Att-YOLO, to automate rock core classification and localization tasks. The proposed model incorporates the convolutional block attention modu...
Towards Precision Geromedicine in SingaporeNARA Subscribed
Since the discovery that ageing is a modifiable process in animal models, significant advancements in geroscience have led to the emergence of the field of Precision Geromedicine, which aims to optimise health and healthspan by targeting ageing-related processes. Ageing-related diseases (ARDs), accounting for 80% of Singapore’s disease burden in 2019, are on the rise as the nation approaches the “super-aged” status by 2030. In...