New Findings in JNCCN Illustrate Pathway for Screening High-Risk Individuals for Pancreatic Cancer in PRECEDE Study

New research in the April 2024 issue of JNCCN—Journal of the National Comprehensive Cancer Network showcases the feasibility of improving early detection and prevention for pancreatic cancer.

UC Irvine researchers shine light on rapid changes in Arctic and boreal ecosystems

Irvine, Calif., April 16, 2024 — Arctic and boreal latitudes are warming faster than any other region on Earth. In three new studies, Earth system scientists at the University of California, Irvine report how the ecosystems in these regions are changing. In a study published in Global Change Biology, a team led by Earth system science Ph.

Children’s Hospital Los Angeles Researchers Probe Immune Microenvironment to Prevent Pediatric Liver Transplant Rejection

Children with liver transplants must take immunosuppressant medications for life. To maintain tolerance of the transplanted liver, doctors treat transplant rejection and conduct ongoing maintenance immunosuppression by increasing dosages of medication enough to counteract rejection. CHLA researchers are developing an imaging panel that identifies the cell types implicated in transplant rejection.

Ultra-resilient flexible sensors break new ground in pressure detection

In recent advancements, flexible pressure sensors have been developed to mimic human skin’s sensitivity, significantly benefiting fields like interactive technologies, health monitoring, and robotics. These innovations leverage a variety of microstructural strategies, including pyramidal, dome, wrinkle, and layered structures, for enhanced sensitivity and durability. Despite their potential, current designs often involve complex manufacturing processes. Addressing these challenges, new approaches aim to simplify sensor fabrication while broadening their pressure detection capabilities and stress tolerance, pushing the boundaries of sensor technology towards more efficient and versatile applications.

Analysis Group Researchers Identify Racial Disparities in Treatment of Metastatic Castration-Sensitive Prostate Cancer

Researchers from Analysis Group, a global leader in health economics and outcomes research (HEOR), have coauthored the first large-scale study that revealed racial disparities in treatment, survival, and access to care among patients with metastatic castration-sensitive prostate cancer (mCSPC) since the first novel hormonal therapy was approved in 2018.

Florida Wildlife Corridor Eases Worst Impacts of Climate Change

Florida is projected to lose 3.5 million acres of land to development by 2070. A new study highlights how Florida can buffer itself against both climate change and population pressures by conserving the remaining 8 million acres of “opportunity areas” within the Florida Wildlife Corridor (FLWC), the only designated statewide corridor in the U.S.

Golden-Hour Water Use Efficiency: Pioneering Crop Productivity and Sustainability in the Face of Water Scarcity

A research team has shed light on the early morning ‘golden hours’ as a pivotal time for achieving optimal water use efficiency (WUE) in crops, revealing that plants can maintain lower transpiration rates and higher photosynthetic activity under favorable light conditions and minimal vapor pressure deficit (VPD).

Family and media pressure to lose weight in adolescence linked to how people value themselves almost two decades later

People who as teenagers felt pressure to lose weight from family or from the media, females, people who are not heterosexual, and people experiencing socioeconomic disadvantage, are most at risk of ‘internalised’ weight stigma, new research led by the University of Bristol has found. The study is published in The Lancet Regional Health Europe today [16 April].

فئة جديدة من خوارزميات الذكاء الاصطناعي التي تحسن أبحاث السرطان وعلاجاته من ابتكار باحثي مايو كلينك

ابتكر باحثو مايو كلينك مؤخرًا فئة جديدة من خوارزميات الذكاء الاصطناعي (AI) تسمى الذكاء الاصطناعي المبني على الفرضيات والتي تمثل ابتعادًا كبيرًا عن نماذج الذكاء الاصطناعي التقليدية التي تتعلم من البيانات فقط.