Microfluidic biosensing technologies enable swift identification of pathogenic bacteria, crucial for timely intervention in ...

A recent study published in Scientific Reports compared the detection of pathogenic microbes between blood culture and metagenomic next-generation sequencing (mNGS) in patients suspected of ...

Researchers improved a deep learning model that detects live bacteria in food samples within three hours. By training it to ...

New method provides high-resolution surveillance data about multiple common antibiotic-resistant bacteria at once and could help prevent the spread of infections. Researchers have developed a new ...

A combination of artificial intelligence and optical imaging could help rapidly identify bacterial contamination in food supplies. (Getty Images) Artificial intelligence could be a valuable tool for ...

Every so often, a food product is recalled because of some sort of contamination. For consumers of such products, a recall can trigger doubt in the safety and reliability of what they eat and drink.

A pilot study has found evidence of Bartonella and Babesia infection in almost half of 50 blood samples from patients suffering chronic fatigue syndrome, also called myalgic encephalomyelitis (ME).

Microbes or chemical contaminants may enter the food chain at any point from farm to fork, causing foodborne illnesses. Different factors such as an individual's susceptibility and a microbe’s ...

Genomic Classification of HER2-Positive Patients With 80-Gene and 70-Gene Signatures Identifies Diversity in Clinical Outcomes With HER2-Targeted Neoadjuvant Therapy Herein, we highlight the strengths ...