Antimicrobial resistance – a public health emergency on the horizon
Posted: 2 December 2020 | Nikki Withers (Drug Target Review) | No comments yet
Researchers at Ingenza and the University of Plymouth are using a machine learning and high‑throughput screening approach to discover novel antimicrobial therapies. In this article, Nikki Withers spoke to one of the researchers, Jack Kay, to hear about the current threat posed by antimicrobial resistance and how he hopes their work will combat this issue in the future.
VIRUSES AND BACTERIA continue to be some of the most serious dangers we face in the 21st century. Increasing antimicrobial resistance (AMR) – which occurs when bacteria, viruses, fungi and parasites change over time so no longer respond to certain medicines – makes this threat even more significant. As a result of drug resistance, antibiotics and other antimicrobial medicines become ineffective, causing infections to become increasingly difficult or impossible to treat.
Related topics
Antimicrobials, Artificial Intelligence, Disease research, Drug Development, Drug Discovery, High Throughput Screening (HTS), Protein, Screening
Related conditions
Antimicrobial resistance (AMR), methicillin-resistant Staphylococcus aureus (MRSA), Staphylococcus epidermidis
