Latest AI and machine learning research in urinary incontinence for healthcare professionals.
Urban pluvial flooding is driven by complex interactions between drainage overflows, rainfall patterns, and multi-scale hydrological memory. Existing data-driven surrogate models often rely on instantaneous forcing, failing to capture the cumulative effects and non-stationary peak evolution of floods. This paper proposes a process-aware and physically-constrained surrogate framework for 2D urban s...
BACKGROUND/AIMS: Global megatrends, including population growth, interconnectedness and artificial intelligence, are already shaping the clinical trials industry, and will do so for decades to come. Innovations from technology companies, greater collaboration with patients and caregivers, and increased diversity in clinical trials could transform clinical trials of the future. However, the industr...
A core challenge in the diagnosis and treatment of esophageal cancer (EC) lies in accurately identifying patients who will benefit from neoadjuvant th...
The crisis of antimicrobial resistance (AMR) is escalating while the antibiotic pipeline remains stagnant. Our bibliometric analysis of eight decades ...
Cardiac arrhythmia poses an important threat to human life; hence it is an urge to diagnose properly. There are numerous mechanisms deployed for the i...
Simplicity bias (SB), the tendency of neural networks to learn simpler functions, is a key factor in good generalization. Recent studies have examined...
Model predictive control (MPC) improves the use of the hydraulic capacity of an urban drainage network with online optimization, thus reducing overflo...
Artificial intelligence (AI) is making remarkable strides in the field of oncology. The potential is humongous, but the perils are understated. From t...
Activation functions are essential in deep learning optimization for introducing non-linearity, shaping gradient dynamics, and influencing weight init...
This paper presents AquaFlowNet, a machine learning-based algorithm for real-time wastewater flow management. It addresses critical challenges related...
The combination therapy of mirabegron (MIR) and tadalafil (TAD) has gained significant attention in clinical practice for the treatment of Benign Pros...
Urban flooding has become a prevalent issue in cities worldwide. Urban flood dynamics differ significantly from those in natural watersheds, primarily...
This research evaluates the readability and quality of patient information material about female urinary incontinence (fUI) in ten popular artificial ...
Generative artificial intelligence (generative AI) is a new technology with potentially broad applications across important domains of healthcare, but...
INTRODUCTION: The management of plant poisonings in the emergency department (ED) presents various challenges. Foremost among these is the identificat...
Current research in nephrology is increasingly focused on elucidating the complexity inherent in tightly interwoven molecular systems and their correl...
Obsessive-compulsive disorder (OCD) is phenomenologically heterogeneous. While predominant models suggest fear and harm prevention drive compulsions, ...
Floods are natural occurrences that pose serious risks to human life and the environment, including significant property and infrastructure damage and...
AIMS: This study evaluated the use of machine learning to leverage drug absorption, distribution, metabolism and excretion (ADME) data together with p...