Infectious Disease Diagnostics – News and Features

Researchers have developed an AI model, “EUCAST-GPT-expert,” using GPT-4 to analyze antibiotic resistance through the Kirby-Bauer disk diffusion test. While the AI tool aids in identifying resistance, it is not as accurate as human experts.

A new study shows that mild SARS-CoV-2 infections during pregnancy can trigger immune responses that cause inflammation in a developing fetus.

Researchers developed innovative origami-paper sensors for detecting infectious disease biomarkers in wastewater. This low-cost, user-friendly method allows for rapid results via mobile phone cameras.

A GRAM Project study forecasts a sharp rise in deaths from antimicrobial resistance, predicting over 39 million lives lost by 2050 without action. Annual deaths could rise significantly, highlighting the urgent need for improved interventions.

Researchers have found a way to produce and test huge collections of molecules, known as DNA-encoded chemical libraries (DEL), using magnetic particles. The technology of DEL promises to find new active pharmaceutical ingredients.

Technology Networks spoke to Dr. Steven Benner to learn more about what synthetic "alien" DNA can tell us about life on other planets and how this technology could be harnessed to improve disease diagnostics and treatment.

CRISPR gene editing has enabled scientists to rewrite the genetic code of living organisms and is revolutionizing medicine. Here, we highlight some of the latest applications of CRISPR gene editing in infectious disease research.

A drug that is currently used for the treatment of psoriasis has been found to be effective in treating the early stages of type-1 diabetes in children and adolescents, finds a new clinical trial led by Cardiff University.

SARS-CoV-2 was detected in six common backyard species, with evidence of human-to-animal transmission also present.

New findings reveal that COVID-19 patients who were hospitalized within the first 30 days after infection face a 29% higher risk of death in the third year post-infection compared with people who have not had the virus.