New model may predict preeclampsia in late pregnancy
Peer-Reviewed Publication
Updates every hour. Last Updated: 2-Apr-2026 07:15 ET (2-Apr-2026 11:15 GMT/UTC)
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy.
Trust in others and prior experience with feral hogs were significant factors in whether landowners would commit effort and dollars to controlling feral hogs, two studies have found. Nana Tian is a forest economics researcher for the Arkansas Forest Resources Center who studies human dimensions and economic issues in natural resource management. When it comes to feral hogs, her research informs education and management plans. Tian is the corresponding author of two studies that address these issues: “Private Landowners’ Perspectives on Managing Feral Swine in Arkansas, Louisiana, and East Texas,” published in the Journal of Wildlife Management and “Private Landowners’ Willingness to Pay for Managing Feral Swine in the West Gulf Region,” published in the Journal of Sustainability Research.
Traditional IHC requires one tissue section per stain, exhibits section-to-section variability, and incurs high costs and laborious staining procedures. While multiplexed immunohistochemistry (mIHC) techniques enable simultaneous staining with multiple antibodies on a single slide, they are more tedious to perform and are currently unavailable in routine pathology laboratories. Here, we present a deep learning-based virtual multiplexed immunostaining framework that simultaneously generates ERG and PanCK, in addition to H&E virtual staining, enabling the accurate localization and interpretation of vascular invasion in thyroid cancers.
A robot developed by NASA in preparation for missions to Mars is returning to the USA following a decade at the University of Edinburgh.