Transforming Physiology and Healthcare through Foundation Models.

Recent developments in artificial intelligence (AI) may significantly alter physiological research and healthcare delivery. Whereas AI applications in medicine have historically been trained for specific tasks, recent technological advances have produced models trained on more diverse datasets with much higher parameter counts. These new, "foundation" models raise the possibility that more flexible AI tools can be applied to a wider set of healthcare tasks than in the past.

The Impact of Blood Pressure Below Personalized Lower Cerebral Autoregulation Limit on Outcomes After Cardiac Surgery: A Retrospective Study.

Objective: The clinical importance of individualized blood pressure management in optimizing cerebral perfusion during cardiac surgery has been well established. However, consensus on blood pressure goals is lacking. The authors studied the associations between cerebral autoregulation metrics, hemodynamic parameters, and postoperative outcomes, and hypothesized that increased time of mean arterial pressure (MAP) below the lower limit of autoregulation (LLA) is associated with major morbidity and mortality (MMOM) incidence.

Placental extracellular vesicles from women with severe preeclampsia alter calcium homeostasis in cardiomyocytes: an ex vivo study.

Women with severe preeclampsia (sPE) exhibit a heightened risk of postpartum cardiovascular disease compared with those with normotensive pregnancies (NTP). Although placental extracellular vesicles (EVs) play a crucial role in feto-maternal communication, their impact on cardiomyocytes, particularly in the context of sPE, remains unclear. This study investigated the effect of sPE-associated placental EVs (sPE-Plex EVs) on cardiomyocyte calcium dynamics.