What's New? The 1986 Chernobyl accident led to widespread radioactive contamination across parts of Europe, with elevated childhood leukaemia rates observed in heavily affected areas of Ukraine. Data on long‐term haematological and other non‐thyroid cancer risk in the general population in heavily contaminated regions, however, remain limited.
Ljubica Zupunski +10 more
wiley +1 more source
Early Enrollment in Diabetes Pay-for-Performance Program Reduced Loss of Life Expectancy in Newly-Diagnosed Patients with Type 2 Diabetes Mellitus (Diabetes Metab J 2025;49:1051-63). [PDF]
Chen YC +4 more
europepmc +1 more source
Global patterns and trends in kidney cancer incidence and mortality
What's New? Decreasing mortality from kidney cancer in developed countries contrasts with persistently high or rising mortality in less‐developed regions. Factors underlying this widening gap remain incompletely understood. Using GLOBOCAN 2022 data, the present study examined patterns in kidney cancer incidence and mortality worldwide and the relation ...
Anton Barchuk +5 more
wiley +1 more source
From Agents to Governance: Essential AI Skills for Clinicians in the Large Language Model Era.
Cao W, Zhang Q, Liu J, Liu S.
europepmc +1 more source
Implementing integrated genomic risk assessments for breast cancer: lessons learned from the Electronic Medical Records and Genomics study. [PDF]
Liu C +34 more
europepmc +1 more source
ABSTRACT Hepatocellular carcinoma (HCC) represents a significant global health issue, with the PD‐1/PD‐L1 axis serving a pivotal target for immunotherapy in this malignancy. However, a comprehensive bibliometric analysis of PD‐1/PD‐L1 research in HCC is lacking.
Xingyu Zhu +4 more
wiley +1 more source
Buprenorphine Treatment for Opioid Use Disorder in Non-Addiction Specialty Settings.
Huebler S +6 more
europepmc +1 more source
VIEWER: an extensible visual analytics framework for enhancing mental healthcare. [PDF]
Wang T +16 more
europepmc +1 more source
Exploring a Novel Conv‐Transformer Network for Multi‐Modality Heart Segmentation
We propose SFAM‐TransUnet for multimodality whole heart segmentation, a novel deep learning framework combining CNNs and transformers. Extensive experiments conducted on the clinical Multi‐Modality Whole Heart Segmentation datasets demonstrate that SFAM‐TransUnet outperforms various alternative methods.
Youyou Ding +6 more
wiley +1 more source
Vision for the future education of healthcare professionals: human relationships at the centre - technology in a supportive role. [PDF]
Toll E +6 more
europepmc +1 more source

