Background/Aims: Recent advances in computer-aided diagnosis (CADx) systems have demonstrated expert-level accuracy in the optical diagnosis of colorectal polyps. High-confidence (HC) diagnoses have been defined as those made within 3 seconds without hesitation, and these systems have been shown to improve diagnostic accuracy. We aimed to evaluate the performance of endoscopists with varying levels of experience in diagnosing colorectal polyps with the assistance of a new CADx system applying the 3-second rule and without artificial intelligence assistance. Methods: In this multicenter ex vivo study, 35 endoscopists assessed 100 polyps (51 adenomas, 39 hyperplastic polyps, 10 sessile serrated lesions) using narrow-band imaging video clips on an online platform. Assessments consisted of individual endoscopist diagnosis and CADx-assisted diagnosis. HC assignments followed the 3-second rule in both phases. Performance metrics included HC accuracy, HC rate, and adherence to the Preservation and Incorporation of Valuable Endoscopic Innovations (PIVI) and Simple Optical Diagnosis Accuracy (SODA) thresholds. Results: HC diagnostic accuracy improved from 78.3% (95% confidence interval [CI], 76.6% to 80.0%) to 89.8% (95% CI, 88.6% to 90.9%) with CADx assistance (p<0.001). The proportion of HC predictions increased from 64.2% to 75.4% (p<0.001). Novice endoscopists showed marked improvement with CADx (74.1% vs 88.8%; p<0.001). CADx-assisted diagnoses nearly met SODA and PIVI thresholds under the 3-second rule. Additional analysis demonstrated that CADx assistance significantly improved interobserver agreement and ground truth, particularly for novices (κ=0.37 to κ=0.65; p<0.001). Conclusions Integrating CADx with the 3-second rule significantly enhances the performance of endoscopists in the optical diagnosis of colorectal polyps, with the greatest benefit observed among novice endoscopists.

Background: Pancreatic ductal adenocarcinoma (PDAC) has a poor prognosis and lacks clinical biomarkers. Exosomes are extracellular vesicles that facilitate cell–cell communication by distributing macromolecules, such as small RNAs (smRNAs). We assessed the potential of exosome-derived small RNAs (Ex-smRNAs) as PDAC biomarkers. Methods: Peripheral blood was collected from 51 patients with PDAC and 15 control individuals. Exosomes were isolated using an aqueous two-phase system. Ex-smRNAs were analyzed using smRNA sequencing. smRNA-mediated target gene regulation was verified via The Cancer Genome Atlas analysis and in vitro transfection and wound-healing assays using PDAC organoids. Results: The total Ex-smRNA count was substantially reduced in patients with PDAC compared with that in control individuals. The levels of microRNAs (miRNAs) miR-125a-5p, miR-30e-5p, miR-16-2-3p, miR-98-5p, and the let-7 family were significantly suppressed, whereas that of miR-6731-5p was significantly elevated. Let-7c-5p and miR-98-5p were found to interact with the long non-coding RNA OLMALINC to regulate their common target genes, BACH1 and CCND1, thus controlling PDAC proliferation and migration. The expressions of CARS1-AS1 and miR-142-5p were upregulated in treatment-responsive patients.Multivariable Cox regression analyses, adjusting for potential prognostic factors such as sex, Eastern Cooperative Oncology Group performance status, and tumor size and stage, revealed that CARS1-AS1 (adjusted hazard ratio [HR] 0.33; 95% confidence interval [CI], 0.15–0.73; P = 0.0061) and miR-142-5p (adjusted HR 0.79; 95% CI, 0.61–1.01; P = 0.0581) were associated with improved overall survival. Conclusions We identified potential Ex-smRNA biomarkers involved in PDAC progression and prognosis that reflect key molecular alterations in PDAC and may serve as clinically relevant biomarkers for disease monitoring.

Objective: Suicide is a significant public health issue, particularly among older adults, where the risk is heightened.Early identification of individuals at risk for suicidal ideation is essential for timely interventions, greatly improving prevention efforts. This study aimed to develop a predictive model for suicidal ideation in community-dwelling older adults using psychiatric self-report scales and machine learning classifiers. Methods: A total of 238 older adults were assessed using the Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7, Perceived Stress Scale-10, and World Health Organization Quality of Life Scale – Abbreviated Version.A nested 5-fold cross-validation procedure repeated 100 times was used for feature selection and model evaluation.Various classifiers—including support vector machines, random forest, logistic regression, linear discriminant analysis, and gradient boosting—were employed. Results: As the number of PHQ-9 items increased from two to six, the area under the curve (AUC) rose from 0.835 to 0.892. When a set of nine features—selected based on feature stability across iterations—was used, the AUC further improved to 0.904. This progression indicates that inclusion of additional informative items enhances classification performance. Conclusion This study demonstrates that psychiatric self-report scales can effectively predict suicidal ideation risk in community-dwelling older adults. By utilizing efficient features, the predictive accuracy of the model can be enhanced, offering valuable insights for developing early identification systems for high-risk groups. These findings suggest that a community-based suicide prevention program could be promoted by implementing a screening system to identify individuals at high risk for suicidal ideation among the elderly.

Platelets contain various growth factors and cytokines. Platelet-derived bioproducts, such as platelet-rich plasma (PRP), platelet-rich fibrin (PRF), and platelet lysate (PL), have been developed and used in clinical practice. PRP and PRF are mainly derived from autologous blood and are used in orthopedics, ophthalmology, skin ulcer treatment, and oral surgery. PL is attracting attention as a substitute for fetal bovine serum in cultures for cell therapy. Research and development on platelet lysate production should be carried out, and transfusion medicine professionals must be involved in the clinical utilization of platelet-derived bioproducts.

The diagnosis of acute ischemic stroke (AIS) can be challenging when neuroimaging findings are normal or equivo‑ cal. Neutrophil extracellular traps (NETs), particularly histone H3.1, have potential as biomarkers for AIS. This study evaluated NETs, specifically histone H3.1, as diagnostic biomarkers for AIS. This prospective study included 89 patients with AIS and 20 healthy controls. Plasma histone H3.1 levels were measured using the Nu.Q® H3.1 enzyme-linked immunosorbent assay (ELISA). Seven cytokines were analyzed using a bead-based immunoassay. Statistical analy‑ ses were used to compare histone H3.1 levels between groups and evaluate correlations with clinical parameters and cytokines. Histone H3.1 levels were significantly higher in patients with AIS (271.05 ± 33.40 ng/mL) versus controls (95.33 ± 12.86 ng/mL, p < 0.001). Multivariable logistic regression identified H3.1 as an independent risk factor for AIS (p = 0.006), with an area under the curve of 0.907. Significant correlations were found between H3.1, interleukin-6 (0.290, p = 0.013) and vascular cell adhesion molecule 1 (0.297, p = 0.011). In conclusion, the NETs H3.1 ELISA test is a reliable new diagnostic option that supports the diagnosis of AIS.

Platelets contain various growth factors and cytokines. Platelet-derived bioproducts, such as platelet-rich plasma (PRP), platelet-rich fibrin (PRF), and platelet lysate (PL), have been developed and used in clinical practice. PRP and PRF are mainly derived from autologous blood and are used in orthopedics, ophthalmology, skin ulcer treatment, and oral surgery. PL is attracting attention as a substitute for fetal bovine serum in cultures for cell therapy. Research and development on platelet lysate production should be carried out, and transfusion medicine professionals must be involved in the clinical utilization of platelet-derived bioproducts.

The diagnosis of acute ischemic stroke (AIS) can be challenging when neuroimaging findings are normal or equivo‑ cal. Neutrophil extracellular traps (NETs), particularly histone H3.1, have potential as biomarkers for AIS. This study evaluated NETs, specifically histone H3.1, as diagnostic biomarkers for AIS. This prospective study included 89 patients with AIS and 20 healthy controls. Plasma histone H3.1 levels were measured using the Nu.Q® H3.1 enzyme-linked immunosorbent assay (ELISA). Seven cytokines were analyzed using a bead-based immunoassay. Statistical analy‑ ses were used to compare histone H3.1 levels between groups and evaluate correlations with clinical parameters and cytokines. Histone H3.1 levels were significantly higher in patients with AIS (271.05 ± 33.40 ng/mL) versus controls (95.33 ± 12.86 ng/mL, p < 0.001). Multivariable logistic regression identified H3.1 as an independent risk factor for AIS (p = 0.006), with an area under the curve of 0.907. Significant correlations were found between H3.1, interleukin-6 (0.290, p = 0.013) and vascular cell adhesion molecule 1 (0.297, p = 0.011). In conclusion, the NETs H3.1 ELISA test is a reliable new diagnostic option that supports the diagnosis of AIS.

Platelets contain various growth factors and cytokines. Platelet-derived bioproducts, such as platelet-rich plasma (PRP), platelet-rich fibrin (PRF), and platelet lysate (PL), have been developed and used in clinical practice. PRP and PRF are mainly derived from autologous blood and are used in orthopedics, ophthalmology, skin ulcer treatment, and oral surgery. PL is attracting attention as a substitute for fetal bovine serum in cultures for cell therapy. Research and development on platelet lysate production should be carried out, and transfusion medicine professionals must be involved in the clinical utilization of platelet-derived bioproducts.

The diagnosis of acute ischemic stroke (AIS) can be challenging when neuroimaging findings are normal or equivo‑ cal. Neutrophil extracellular traps (NETs), particularly histone H3.1, have potential as biomarkers for AIS. This study evaluated NETs, specifically histone H3.1, as diagnostic biomarkers for AIS. This prospective study included 89 patients with AIS and 20 healthy controls. Plasma histone H3.1 levels were measured using the Nu.Q® H3.1 enzyme-linked immunosorbent assay (ELISA). Seven cytokines were analyzed using a bead-based immunoassay. Statistical analy‑ ses were used to compare histone H3.1 levels between groups and evaluate correlations with clinical parameters and cytokines. Histone H3.1 levels were significantly higher in patients with AIS (271.05 ± 33.40 ng/mL) versus controls (95.33 ± 12.86 ng/mL, p < 0.001). Multivariable logistic regression identified H3.1 as an independent risk factor for AIS (p = 0.006), with an area under the curve of 0.907. Significant correlations were found between H3.1, interleukin-6 (0.290, p = 0.013) and vascular cell adhesion molecule 1 (0.297, p = 0.011). In conclusion, the NETs H3.1 ELISA test is a reliable new diagnostic option that supports the diagnosis of AIS.

Platelets contain various growth factors and cytokines. Platelet-derived bioproducts, such as platelet-rich plasma (PRP), platelet-rich fibrin (PRF), and platelet lysate (PL), have been developed and used in clinical practice. PRP and PRF are mainly derived from autologous blood and are used in orthopedics, ophthalmology, skin ulcer treatment, and oral surgery. PL is attracting attention as a substitute for fetal bovine serum in cultures for cell therapy. Research and development on platelet lysate production should be carried out, and transfusion medicine professionals must be involved in the clinical utilization of platelet-derived bioproducts.