Neonatal sepsis is a leading cause of infant morbidity and mortality in low- and middle-income countries (LMICs), yet despite ...

Sepsis is one of the most commonly encountered pathologies in the neonatal intensive care unit (NICU) and is associated with significant morbidity and mortality. 1 Many infants with sepsis develop ...

Artificial intelligence may have a role in the early detection of sepsis in neonates. Machine learning can identify patterns that predict high or increasing risk for clinical deterioration from a ...

A major multi-country study has found that WHO-recommended first-line antibiotics for neonatal sepsis are likely to be effective in only one-quarter of infections in low- and middle-income countries ...

Each year, sepsis affects more than 30 million people worldwide, causing an estimated six million deaths. Sepsis is the body's extreme response to an infection and is often life-threatening. Since ...

"Until meningitis is ruled out through lumbar puncture, septic very-low-birth-weight infants at high risk of mortality should receive empiric antimicrobials with high delivery through the blood-brain ...

Sepsis leads to life-threatening organ failure due to dysregulated host responses to infection and presents uniquely across age groups. Neonatal sepsis, affecting infants in their first 28 days, ...

Hospital patients are at risk of a number of life-threatening complications, especially sepsis—a condition that can kill within hours and contributes to one out of three in-hospital deaths in the U.S.

LISBON, Portugal — A shift toward broader-spectrum antibiotics and increasing antibiotic resistance has led to high levels of mortality and neurodevelopmental impacts in surviving babies, according to ...

Artificial intelligence algorithms are everywhere in healthcare. They sort through patients’ data to predict who will develop medical conditions like heart disease or diabetes, they help doctors ...