AI Medical Compendium Journal:
Advances in food and nutrition research

Showing 1 to 4 of 4 articles

Predictive microbiology through the last century. From paper to Excel and towards AI.

Advances in food and nutrition research
This chapter provides a historical perspective on predictive microbiology: from its inception till its current state, and including potential future developments. A look back to its origins in the 1920s underlies that scientists at the time had great...

Machine learning-enabled colorimetric sensors for foodborne pathogen detection.

Advances in food and nutrition research
In the past decade, there have been various advancements to colorimetric sensors to improve their potential applications in food and agriculture. One application of growing interest is sensing foodborne pathogens. There are unique considerations for ...

Frontiers of machine learning in smart food safety.

Advances in food and nutrition research
Integration of machine learning (ML) technologies into the realm of smart food safety represents a rapidly evolving field with significant potential to transform the management and assurance of food quality and safety. This chapter will discuss the c...

Ensuring food safety by artificial intelligence-enhanced nanosensor arrays.

Advances in food and nutrition research
Current analytical methods utilized for food safety inspection requires improvement in terms of their cost-efficiency, speed of detection, and ease of use. Sensor array technology has emerged as a food safety assessment method that applies multiple c...