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Early warning for diabetes: AI model identifies prediabetes risk with high accuracy
A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...
Background Adverse childhood experiences (ACEs) are traumatic events that occur before a child reaches the age of 15 with ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
The online information landscape, driven in large part by social media, rewards engagement and is curated by classification ...
Use of tanning beds more than doubles the risk of developing melanoma by increasing the mutation burden in melanocytes, including at skin sites with ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...
Background Previous epidemiological studies demonstrated that premature atrial contractions (PACs) and premature ventricular ...
Objective To estimate the incidence of herpes zoster (HZ) and the incremental healthcare resource utilisation (HRU) and costs ...
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Introduction Nasogastric tubes (NGTs) are standard practice in the management of adhesive small bowel obstruction (ASBO). Their insertion can be associated with significant patient discomfort and ...
Objectives We hypothesise that women with type 2 diabetes and hypertension are less likely than comparable men to receive renin–angiotensin system (RAS)-inhibiting antihypertensive treatment, ...
Traditional financial distress prediction relies heavily on backward-looking financial indicators such as leverage, liquidity ...
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