Reaching net zero sooner would limit long-lasting changes to El Niño and the tropical Pacific, new climate modelling suggests, although heat stored deep in the ocean means changes to the tropical Pacific could persist for centuries. 

Researchers at The University of Texas MD Anderson Cancer Center and collaborating institutions in Texas developed an artificial intelligence (AI) model that helps explain how immune cells find their way to specific locations in the body and why they avoid others. The findings could help scientists better understand cancer, autoimmune diseases and treatment response.

Every online order sets off a complex chain of operational decisions, from choosing where items are fulfilled to picking, shipping and returns. A new review of 198 studies maps these decisions across the end-to-end B2C fulfillment process and shows how research is moving toward integrated, real-time and data- and AI-enabled decision-making, offering a roadmap for more efficient and responsive e-commerce operations.

Preeclampsia (PE) is a serious pregnancy complication characterized by hypertension and multi-organ dysfunction after 20 weeks of gestation, posing significant risks to both mothers and infants. Early identification of women at high risk enables timely preventive interventions, yet established screening protocols, such as the Fetal Medicine Foundation (FMF) clinical model, exhibit moderate sensitivity during the first trimester. Since routine laboratory tests reflect early metabolic and inflammatory changes associated with disease development, they may provide an accessible and cost-effective strategy for improving PE prediction.