A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...
The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...
Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...
RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...
Artificial Intelligence (AI) is transforming industries by automating processes, improving decision-making, and enhancing ...
Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
Reports demonstrates that whole-brain Single Photon Emission Computed Tomography (SPECT) imaging, combined with advanced ...
We trained 2 representative machine learning algorithms, an ensemble and a support vector machine (SVM), to implement auto-NIHSS and auto-MRC grading. The optimized algorithms performed a 5-fold cross ...
Abstract: Breast cancer is the most common cancer type among females and is one of the leading causes of death worldwide. Being a heterogeneous disease, subtyping breast cancer plays a vital role in ...
Abstract: The main objective of this paper is to improve the accuracy for especial features of ear detection with ear shape images using learning algorithms. Materials and Methods: This paper’s ...
Department of Computational Science, National University of Singapore, Blk SOC1, Level 7, 3 Science Drive 2, Singapore 117543, Singapore-MIT Alliance, E-04-10, 4 Engineering Drive 3, Singapore, 117576 ...
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