Combining artificial intelligence (AI) with a simple blood test could help diagnose sepsis faster and single out patients at the highest risk of severe complications from the infection, a study has suggested. The approach could save lives, according to Swedish researchers, who combined the unique molecular signature of sepsis with machine-learning to predict a person’s risk of organ failure and death. Sepsis is life-threatening and can be difficult to spot, accounting for about 11 million deaths
Researchers from Lund University in Sweden have identified distinct molecular signatures associated with the clinical signs of sepsis that could provide more accurate diagnosis and prognosis of sepsis, as well as help to target specific therapies at patients who would benefit most, according to new research being presented at this year's European Congress of Clinical Microbiology and Infectious Diseases (ECCMID 2024) in Barcelona, Spain (27-30 April).
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