Patients at the greatest risk for secondary infections, particularly infections that are resistant to first-line antibiotics, include people who are already vulnerable due to other conditions and diseases—like COVID-19. Because of that, antimicrobial resistance poses a significant additional threat, especially as healthcare systems become overburdened.
Hospitalizations with acute kidney injury (AKI) more than quadrupled in the US from 2000-2014 and clinicians are increasingly recognizing AKI as an in-hospital complication of sepsis, heart conditions, and surgery.
The kidneys are best known for removing waste and extra fluid from the body. However, did you know they also serve as powerful chemical factories? Our kidneys play a vital role in keeping our body functioning, and it’s important to understand how they work in order to keep them healthy.
Researchers from MIT and Harvard developed a new approach to antibiotic discovery using a type of artificial AI called deep learning. So far, their model has identified eight antibacterial compounds that differ in structure from known antibiotics.