AIMC Topic: Counterfeit Drugs

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Combating Counterfeit Drugs via Machine Learning-Enabled Array Screening of Multilayer Evolutionary Combinatorial Libraries.

ACS applied materials & interfaces
Counterfeit drugs are a global issue that has a serious impact on patient morbidity and mortality. Driven by nonspecific cross-reactivity, sensor arrays enable the concurrent discrimination of structurally related drug molecules. Nevertheless, rapidl...

Rapid detection and quantification of falsified Viagra using cloud-based portable NIR technology and machine learning.

Journal of pharmaceutical and biomedical analysis
The prevalence of falsified medications remains a global health challenge, intensified by globalization, internet accessibility, and the high profitability associated with low risks for this type of trafficking. This study demonstrates the innovative...

Nanocatalyst-Enabled Physically Unclonable Functions as Smart Anticounterfeiting Tags with AI-Aided Smartphone Authentication.

ACS applied materials & interfaces
Counterfeiting is a worldwide issue affecting many industrial sectors, ranging from specialized technologies to retail market, such as fashion brands, pharmaceutical products, and consumer electronics. Counterfeiting is not only a huge economic burde...

Determination of terazosin in the presence of prazosin: Different state-of-the-art machine learning algorithms with UV spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Counterfeit drugs have adverse effects on public health; chromatographic methods can be used but they are costly. In this study, we developed cost-effective and environmentally friendly methodology for the analysis of terazosin HCl (TZ) in the presen...