Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Background Complex breast surgery, including immediate breast reconstruction and oncoplastic procedures, is increasingly performed to optimise oncologic and aesthetic outcomes. Postoperative wound ...
Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...
Main outcome measures Cumulative time dependent intake of preservatives, including those in industrial food brands, assessed ...
Removing part or all of the breast during breast cancer treatment is a potential outcome for some people. Reconstructive ...
Industry Analysis Examines Eight-Ingredient Powdered Formula, Nitric Oxide Pathway Research, and Age-Specific Circulatory ...
Applicants are not supposed to use AI to write college essays. But colleges are using AI to help assess applications. At ...
This is an important study on the sensory roles of Cerebrospinal fluid-contacting neurons (CBF-cn) in mammals. The authors identify PKD2L1 as the predominant pH-sensing channel CBF-cn and show how the ...
The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Abstract: Visual odometry is extensively utilized in robotics, autonomous navigation, and augmented reality to estimate motion by analyzing sequential images. Provides high precision without relying ...
Peer review is the process by which scholars assess the quality and accuracy of one another’s research papers. It is most frequently employed within academia, where professors evaluate each other's ...
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