Attention-based deep learning for accurate cell image analysis.

High-content analysis (HCA) holds enormous potential for drug discovery and research, but widely used methods can be cumbersome and yield inaccurate results. Noisy and redundant signals in cell images impede accurate deep learning-based image analysis. To address these issues, we introduce X-Profiler, a novel HCA method that combines cellular experiments, image processing, and deep learning modeling.

Patients' Acceptability and Perspective on Utilizing Telemedicine in Breast Cancer Care and Management.

Telemedicine has emerged as a promising solution to address the challenges of providing continuous care to breast cancer patients, particularly in remote areas. This study aims to assess the acceptability of using telemedicine for breast cancer follow-up. A cross-sectional study utilizing a self-administered survey was conducted from January to March 2024 among 450 breast cancer patients at the Universiti Malaya Medical Center, Malaysia.

A Global Collaborative Comparison of SARS-CoV-2 Antigenicity Across 15 Laboratories.

Setting up a global SARS-CoV-2 surveillance system requires an understanding of how virus isolation and propagation practices, use of animal or human sera, and different neutralisation assay platforms influence assessment of SARS-CoV-2 antigenicity. In this study, with the contribution of 15 independent laboratories across all WHO regions, we carried out a controlled analysis of neutralisation assay platforms using the first WHO International Standard for antibodies to SARS-CoV-2 variants of concern (source: NIBSC). Live virus isolates (source: WHO BioHub or individual labs) or spike plasmids (individual labs) for pseudovirus production were used to perform neutralisation assays using the same serum panels.

4D-DIA-Based Quantitative Proteomic Analysis Reveals the Involvement of TRPV2 Protein in Duck Tembusu Virus Replication.

Duck Tembusu virus (DTMUV), a novel positive-sense RNA virus, has caused significant economic losses in the poultry industry of Eastern and Southeast Asia since its outbreak in 2010. Furthermore, the rapid transmission and potential zoonotic nature of DTMUV pose a threat to public health safety. In this study, a 4D-DIA quantitative proteomics approach was employed to identify differentially expressed cellular proteins in DTMUV-infected DF-1 cells, which are routinely used for virus isolation and identification for DTMUV, as well as the development of vaccines against other poultry viruses.

Microplastic Particles Detected in Fetal Cord Blood, Placenta, and Meconium: A Pilot Study of Nine Mother-Infant Pairs in South China.

Microplastics (MPs) are emerging environmental pollutants. Pregnancy and infancy are sensitive windows for environmental exposure. However, few studies have investigated the presence of MPs in mother-infant pairs, or the exposure source.