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Sökning: WFRF:(Rose C. Brian) > (2023)

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1.
  • Koptekin, Dilek, et al. (författare)
  • Spatial and temporal heterogeneity in human mobility patterns in Holocene Southwest Asia and the East Mediterranean
  • 2023
  • Ingår i: Current Biology. - : Cell Press. - 0960-9822 .- 1879-0445. ; 33:1, s. 41-57
  • Tidskriftsartikel (refereegranskat)abstract
    • We present a spatiotemporal picture of human genetic diversity in Anatolia, Iran, Levant, South Caucasus, and the Aegean, a broad region that experienced the earliest Neolithic transition and the emergence of com-plex hierarchical societies. Combining 35 new ancient shotgun genomes with 382 ancient and 23 present-day published genomes, we found that genetic diversity within each region steadily increased through the Holo-cene. We further observed that the inferred sources of gene flow shifted in time. In the first half of the Holo-cene, Southwest Asian and the East Mediterranean populations homogenized among themselves. Starting with the Bronze Age, however, regional populations diverged from each other, most likely driven by gene flow from external sources, which we term "the expanding mobility model."Interestingly, this increase in in-ter-regional divergence can be captured by outgroup-f3-based genetic distances, but not by the commonly used FST statistic, due to the sensitivity of FST, but not outgroup-f3, to within-population diversity. Finally, we report a temporal trend of increasing male bias in admixture events through the Holocene.
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2.
  • Statz, Giselle M., et al. (författare)
  • Can Artificial Intelligence Enhance Syncope Management?: A JACC: Advances Multidisciplinary Collaborative Statement : State-of-the-Art Review
  • 2023
  • Ingår i: JACC: Advances. - 2772-963X. ; 2:3
  • Forskningsöversikt (refereegranskat)abstract
    • Syncope, a form of transient loss of consciousness, remains a complex medical condition for which adverse cardiovascular outcomes, including death, are of major concern but rarely occur. Current risk stratification algorithms have not completely delineated which patients benefit from hospitalization and specific interventions. Patients are often admitted unnecessarily and at high cost. Artificial intelligence (AI) and machine learning may help define the transient loss of consciousness event, diagnose the cause, assess short- and long-term risks, predict recurrence, and determine need for hospitalization and therapeutic intervention; however, several challenges remain, including medicolegal and ethical concerns. This collaborative statement, from a multidisciplinary group of clinicians, investigators, and scientists, focuses on the potential role of AI in syncope management with a goal to inspire creation of AI-derived clinical decision support tools that may improve patient outcomes, streamline diagnostics, and reduce health-care costs.
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