Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Download full-text PDF

Source
http://dx.doi.org/10.1097/TP.0000000000004890DOI Listing

Publication Analysis

Top Keywords

challenges risk
4
risk aversion
4
aversion kidney
4
kidney transplantation
4
transplantation lessons
4
lessons sars-cov-2
4
sars-cov-2 pandemic
4
pandemic brazil
4
challenges
1
aversion
1

Similar Publications

Purpose: The fourth phase of the Electronic Medical Records and Genome Network (eMERGE4) is testing the return of 10 polygenic risk scores (PRS) across multiple clinics. Understanding the perspectives of health-system leaders and frontline clinicians can inform plans for implementation of PRS.

Methods: Fifteen health-system leaders and 20 primary care providers (PCPs) took part in semi-structured interviews.

View Article and Find Full Text PDF

Artificial Intelligence in Contact Dermatitis: Current and Future Perspectives.

Dermatitis

September 2025

From the Department of Dermatology, Venereology and Leprology, All India Institute of Medical Sciences (AIIMS), Bhopal, India.

Contact dermatitis (CD), which includes both allergic CD and irritant CD, is a common inflammatory condition that can pose significant diagnostic challenges. Although patch testing is the gold standard for identifying causative allergens for allergic contact dermatitis (ACD), it is time-consuming, subjective, and requires expert interpretation. Recent advancements in artificial intelligence (AI), particularly in machine learning (ML) and deep learning, have shown promise in improving the accuracy, efficiency, and accessibility of CD diagnosis and management.

View Article and Find Full Text PDF

Diabetes management during the end of life.

Br J Nurs

September 2025

Macmillan Palliative and End of Life Care Practice Educator and Specialist Nurse Practitioner, Northampton General Hospital.

For individuals with diabetes, maintaining optimal glycaemic control is essential to reduce the risk of long-term complications. However, as patients approach the end of life, the emphasis on tight glycaemic targets becomes less relevant. Instead, the primary goal shifts to maintaining blood glucose levels within a range that minimises the risk of hypoglycaemia and prevents symptomatic hyperglycaemia, thereby ensuring comfort and quality of life.

View Article and Find Full Text PDF

Background: Asylum seekers face significant mental health challenges but underutilise mental health services and are at increased risk of misdiagnosis. The Cultural Formulation Interview (CFI) could be helpful by introducing individuals' culture and context to psychiatric evaluation. However, its impact on the diagnostic process for asylum seekers remains underexplored.

View Article and Find Full Text PDF

Molecular property prediction has become essential in accelerating advancements in drug discovery and materials science. Graph Neural Networks have recently demonstrated remarkable success in molecular representation learning; however, their broader adoption is impeded by two significant challenges: (1) data scarcity and constrained model generalization due to the expensive and time-consuming task of acquiring labeled data and (2) inadequate initial node and edge features that fail to incorporate comprehensive chemical domain knowledge, notably orbital information. To address these limitations, we introduce a Knowledge-Guided Graph (KGG) framework employing self-supervised learning to pretrain models using orbital-level features in order to mitigate reliance on extensive labeled data sets.

View Article and Find Full Text PDF