A population-based study led by the University of Turku, Finland, investigated factors associated with the prevalence of antibiotic resistance. In addition to antibiotic use, diet, gender, living environment, income level and certain gut bacteria were associated with a higher burden of resistance. A higher resistance burden was associated with a 40% higher risk of all-cause mortality during the follow-up.
Antibiotic-resistant bacteria cause more than one million deaths per year worldwide, and the number is rising fast.
A recent study shows that an increase in relative mortality risk can be predicted by high resistance burden as well as by elevated blood pressure or type 2 diabetes. The number of antibiotic resistance genes found in gut bacteria predicted the risk of sepsis or death during a long follow-up period of almost two decades.
William Ho is a Co-Founder, and has served as the President, Chief Executive Officer, and Director of IN8bio ( https://in8bio.com/ ), a biotech company with…
Nanoparticles—the tiniest building blocks of our world—are constantly in motion, bouncing, shifting, and drifting in unpredictable paths shaped by invisible forces and random environmental fluctuations.
Better understanding their movements is key to developing better medicines, materials, and sensors. But observing and interpreting their motion at the atomic scale has presented scientists with major challenges.
Researchers in Georgia Tech’s School of Chemical and Biomolecular Engineering (ChBE) have developed an artificial intelligence (AI) model that learns the underlying physics governing those movements.
