Small (Weinheim an der Bergstrasse, Germany)
Apr 7, 2026
Commodity fraud is a serious issue leading to significant financial losses for producers, marketers, and consumers. The past anticounterfeiting and security systems were cloneable and predictable. Today, development of advanced, multilayered, and unc... read more
INTRODUCTION: Intensive care is under increasing pressure due to demographic changes, availability of new complex therapies, and workforce shortages, resulting in a relative reduction in resources. Technological advances such as digitalization, weara... read more
OBJECTIVES: To develop a generalizable and robust deep learning model for bone tumor classification in radiographs by leveraging domain-specific medical image pretraining. MATERIALS AND METHODS: This retrospective multi-center study included 2338 pat... read more
Analytical methods : advancing methods and applications
Apr 7, 2026
Fingerprints are a widely recognized form of forensic evidence, valued for their ability to link individuals with specific locations. Traditional fingerprint analysis relies on optical imaging to identify a match in a fingerprint database; however, w... read more
PURPOSE: Feature selection approaches have historically been limited by processing performance during high-dimensional data analysis, which presents additional inefficiencies when dealing with bigger datasets. Hybrid search methods are also great and... read more
Arsenic contamination in groundwater poses a significant public health risk, especially in developing countries with inadequate water quality monitoring systems. This study employs advanced machine learning approaches to assess arsenic pollution in 2... read more
OBJECTIVES: This study aimed to evaluate the feasibility and accuracy of automated contrast-to-noise ratio (CNR) analysis in chest CT using the open-source body and organ analysis (BOA) framework and to validate segmentation modifications for reprodu... read more
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