The Global Drought Monitor (GDM) provides real-time information about drought to enhance drought forecasting; however, applying complex machine learning algorithms across large spatial domains is computationally challenging. This study presents a nov... read more
Cardiovascular-kidney-metabolic (CKM) syndrome is an emerging clinical entity that highlights the complex, bidirectional interplay among cardiovascular disease, chronic kidney disease, and metabolic disorders, representing a substantial and growing g... read more
BACKGROUND: Optimization of biotechnological processes is traditionally limited by time-consuming trial-and-error approaches and the complexity of simultaneously optimizing multiple, often conflicting objectives. This applies particularly to plant ti... read more
PURPOSE: Motivated by the need to improve GABA+-edited magnetic resonance spectroscopy (MRS) quality, we developed a three-module framework to improve transient averaging based on quality. We hypothesized that training a deep learning (DL) model to d... read more
As the population continues to age, and gaming continues to grow as a hobby for older people, heterogeneity among older adult gamers is increasing. We argue that traditional game-based accessibility features, like simplified input schemes, redundant ... read more
MOTIVATION: Spatial transcriptomics techniques capture gene expression data and spatial coordinates, while simultaneously correlating them with tissue section images. This advantage makes Spatial transcriptomics data highly valuable for research, suc... read more
PURPOSE: We introduce DeepRelaxo, a fast and generalizable deep learning method for estimating brain R2* maps from multi-echo gradient echo (ME-GRE) acquisitions with arbitrary echo configurations, including shortened echo trains for accelerated scan... read more
BACKGROUND: Chronic migraine is a debilitating disorder characterized by central sensitization and impaired habituation. Although OnabotulinumtoxinA (OnabotA) is an established preventive treatment, its precise mechanism of action and predictors of t... read more
Persistent environmental pollutants require diverse microbial metabolic capabilities for effective degradation. While naturally occurring consortia or single strains often fall short in efficiency, synthetic microbial communities (SynComs) hold great... read more
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