Prognostic effect of CEA, AFP, CA19‑9 and CA242 for recurrence/metastasis of gastric cancer following radical gastrectomy.

The present study aimed to determine the potential of carcinoembryonic antigen (CEA), alpha-fetoprotein (AFP), carbohydrate antigen (CA)19-9 and CA242 in predicting recurrence/metastasis of gastric cancer in patients following radical gastrectomy. The clinical data of 368 patients with stage I-III gastric cancer who underwent radical gastrectomy were analyzed, and CEA, AFP, CA19-9 and CA242 levels were detected prior to surgery and 6-12 months following surgery. Univariate and multivariate analyses were used to evaluate the potential risk factors for post-operative recurrence/metastasis of gastric cancer, and the predictive value of CEA, AFP, CA19-9 and CA242 levels was evaluated using receiver operating characteristic (ROC) curve and area under the curve (AUC).

The perception of artificial intelligence and infertility care among patients undergoing fertility treatment.

Purpose: To characterize the opinions of patients undergoing infertility treatment on the use of artificial intelligence (AI) in their care.

Methods: Patients planning or undergoing in vitro fertilization (IVF) or frozen embryo transfers were invited to complete an anonymous electronic survey from April to June 2024. The survey collected demographics, technological affinity, general perception of AI, and its applications to fertility care.

Validation of a Deep Learning-Based Method for Accelerating Susceptibility-Weighted Imaging in Clinical Settings.

Susceptibility-weighted imaging (SWI) has been widely used in clinical contexts, in which the speed of acquisition is frequently a critical issue. In this study, we aim to test the feasibility of a deep learning (DL)-based reconstruction method for accelerating SWI acquisition in clinical settings. A total of 61 subjects were consecutively enrolled.

Structural analysis of a membrane-associated delta-6 fatty acid desaturase from Prorocentrum micans.

Delta-6 fatty acid desaturases, which play key roles in the biosynthesis of polyunsaturated fatty acids (PUFAs), are membrane-associated enzymes that present significant challenges for isolation and purification, complicating their structural characterization. Here we report the identification and structure-function analysis of a novel Δ6 fatty acid desaturase (PmD6) from the marine alga Prorocentrum micans with substrate preference to α-linolenic acid (18:3n-3). Structural modeling revealed a mushroom-like structure of PmD6 formed by four transmembrane α-helices as a stem and three cytoplasmic domains as a cap.

Screening of serum biomarkers in patients with PCOS through lipid omics and ensemble machine learning.

Polycystic ovary syndrome (PCOS) is a primary endocrine disorder affecting premenopausal women involving metabolic dysregulation. We aimed to screen serum biomarkers in PCOS patients using untargeted lipidomics and ensemble machine learning. Serum from PCOS patients and non-PCOS subjects were collected for untargeted lipidomics analysis.