CHARACTERIZATION OF THE SPOILAGE MICROBIOTA OF HAKE FILLETS PACKAGED UNDER A MODIFIED ATMOSPHERE (MAP) RICH IN CO2 (50% CO2/50% N2) AND STORED AT DIFFERENT TEMPERATURES

Characterization of the Spoilage Microbiota of Hake Fillets Packaged Under a Modified Atmosphere (MAP) Rich in CO2 (50% CO2/50% N2) and Stored at Different Temperatures

The aim of this study was to characterize the spoilage microbiota of hake fillets stored under modified atmospheres (MAP) (50% CO2/50% N2) at different temperatures using high-throughput 16S rRNA gene sequencing and to compare the results with those obtained using traditional microbiology techniques.The results obtained indicate that, as expected,

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Artificial intelligence in melanoma diagnosis: Three scenarios, shifts in competencies, need for regulation, and reconciling dissent between humans and AI

Tools based on machine learning (so-called el falcon boss kit artificial intelligence, AI) are increasingly being developed to diagnose malignant melanoma in dermatology.This contribution discusses (1) three scenarios for the use of AI in different medical settings, (2) shifts in competencies from dermatologists to non-specialists and empowered pat

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