Brain age prediction is of great significance to the in-depth understanding of individual neurodevelopment,early diagnosis of neuropsychiatric disorders,and formulation of personalized treatment plans. With the continuous advancement of deep learning,more and more researches focus on using such algorithms to predict brain age. Compared with traditional regression algorithms,deep learning which has the advantages of complex pattern learning,end-to-end learning and high adaptability can more accurately reveal the neuropathological mechanisms of neuropsychiatric disorders,and provide more precise tools for clinical assessment,assisted diagnosis and prognosis prediction. Herein the study reviews the recent advances in the application of deep learning algorithms in brain age prediction,introduces the achievements in deep learning model optimization,multimodal data inputs and interpretability studies for brain age prediction,discusses the methods for the establishment of integrated deep learning architectures and the future challenges of developing unified benchmarking,and provides an outlook on the application of deep learning in brain age prediction.

Objective This study aims to systematically evaluate the evidence-based medicine of traditional Chinese medicine(TCM)in the treatment of dry eye,analyze its efficacy and differences compared with modern Western medicine treatments,and provide a scientific basis for clinical application.Methods By searching Chinese and English databases(including CNKI,Wanfang Data,PubMed,Cochrane Library,etc.),we included meta-analyses and systematic reviews of TCM treatments for dry eye.Literature was screened according to strict inclusion and exclusion criteria,and relevant data were extracted and integrated for analysis.The Mantel-Haenszel fixed-effects model was used to calculate the relative risk(RR)and mean difference(WMD),with the effect size expressed as a 95％confidence interval,to analyze the efficacy in-dicators of TCM treatment for dry eye.Results A total of 21 articles were finally included,involving various TCM inter-ventions for dry eye(such as Chinese herbal medicine,acupuncture,and TCM external therapies).The results showed that TCM treatment was superior to Western medicine alone in improving the overall clinical efficacy[RR=1.63,95％CI(1.46,1.81),P＜0.05],prolonging tear film break-up time[MD=2.23,95％CI(1.85,2.60),P＜0.05],and increasing tear secretion[MD=1.49,95％CI(1.04,1.94),P＜0.05].In addition,acupuncture,the combination of Chinese herbal medicine and Western medicine,and TCM external therapies all demonstrated unique advantages in improving dry eye symptoms and tear function.Conclusion TCM treatment for dry eye shows significant efficacy in key indicators such as overall clinical efficacy,tear film break-up time,and tear secretion,with a high level of safety.

Objective:To investigate the current status of postoperative Day 1 ambulation in patients undergoing posterior lumbar interbody fusion (PLIF) surgery under an enhanced recovery after surgery (ERAS) protocol, analyze the influencing factors of successful ambulation on postoperative Day 1, and explore the impact of early ambulation on postoperative recovery.Methods:Data from 397 patients who underwent PLIF surgery at Beijing Jishuitan Hospital, Capital Medical University, from September 2023 to July 2024 were retrospectively collected. Patients were divided into two groups based on whether they successfully ambulated on postoperative Day 1: the successful ambulation on Day 1 group and the delayed ambulation group. Binary Logistic regression was used to analyze the factors influencing successful ambulation on postoperative Day 1. Postoperative recovery indicators, including catheter removal time, hospital length of stay, drainage volume on postoperative Day 3, and pain scores for the low back and legs, were compared between the two groups.Results:A total of 378 patients were included in the analysis. Among them, 316 patients (83.6%) successfully ambulated on postoperative Day 1, while 62 patients (16.4%) had delayed ambulation. Logistic regression analysis indicated that postoperative Day 1 hemoglobin classification and pre-ambulation low back pain score in the supine position were independent factors influencing successful ambulation on Day 1 ( P<0.05). The successful ambulation group had a shorter catheter removal time and hospital stay compared to the delayed ambulation group, with statistically significant differences ( P<0.05). There were no significant differences between the two groups in postoperative drainage volume, low back pain scores, leg pain scores, or Oswestry Disability Index scores before discharge (all P>0.05) . Conclusions:Postoperative Day 1 hemoglobin levels and pre-ambulation low back pain scores are independent factors influencing the success of ambulation on postoperative Day 1 in patients undergoing PLIF surgery. Early ambulation on postoperative Day 1 helps reduce catheter removal time and length of hospital stay without increasing postoperative drainage or pain levels.

Objective This study aims to systematically evaluate the evidence-based medicine of traditional Chinese medicine(TCM)in the treatment of dry eye,analyze its efficacy and differences compared with modern Western medicine treatments,and provide a scientific basis for clinical application.Methods By searching Chinese and English databases(including CNKI,Wanfang Data,PubMed,Cochrane Library,etc.),we included meta-analyses and systematic reviews of TCM treatments for dry eye.Literature was screened according to strict inclusion and exclusion criteria,and relevant data were extracted and integrated for analysis.The Mantel-Haenszel fixed-effects model was used to calculate the relative risk(RR)and mean difference(WMD),with the effect size expressed as a 95％confidence interval,to analyze the efficacy in-dicators of TCM treatment for dry eye.Results A total of 21 articles were finally included,involving various TCM inter-ventions for dry eye(such as Chinese herbal medicine,acupuncture,and TCM external therapies).The results showed that TCM treatment was superior to Western medicine alone in improving the overall clinical efficacy[RR=1.63,95％CI(1.46,1.81),P＜0.05],prolonging tear film break-up time[MD=2.23,95％CI(1.85,2.60),P＜0.05],and increasing tear secretion[MD=1.49,95％CI(1.04,1.94),P＜0.05].In addition,acupuncture,the combination of Chinese herbal medicine and Western medicine,and TCM external therapies all demonstrated unique advantages in improving dry eye symptoms and tear function.Conclusion TCM treatment for dry eye shows significant efficacy in key indicators such as overall clinical efficacy,tear film break-up time,and tear secretion,with a high level of safety.

Brain age prediction is of great significance to the in-depth understanding of individual neurodevelopment,early diagnosis of neuropsychiatric disorders,and formulation of personalized treatment plans. With the continuous advancement of deep learning,more and more researches focus on using such algorithms to predict brain age. Compared with traditional regression algorithms,deep learning which has the advantages of complex pattern learning,end-to-end learning and high adaptability can more accurately reveal the neuropathological mechanisms of neuropsychiatric disorders,and provide more precise tools for clinical assessment,assisted diagnosis and prognosis prediction. Herein the study reviews the recent advances in the application of deep learning algorithms in brain age prediction,introduces the achievements in deep learning model optimization,multimodal data inputs and interpretability studies for brain age prediction,discusses the methods for the establishment of integrated deep learning architectures and the future challenges of developing unified benchmarking,and provides an outlook on the application of deep learning in brain age prediction.

Objective:To investigate the current status of postoperative Day 1 ambulation in patients undergoing posterior lumbar interbody fusion (PLIF) surgery under an enhanced recovery after surgery (ERAS) protocol, analyze the influencing factors of successful ambulation on postoperative Day 1, and explore the impact of early ambulation on postoperative recovery.Methods:Data from 397 patients who underwent PLIF surgery at Beijing Jishuitan Hospital, Capital Medical University, from September 2023 to July 2024 were retrospectively collected. Patients were divided into two groups based on whether they successfully ambulated on postoperative Day 1: the successful ambulation on Day 1 group and the delayed ambulation group. Binary Logistic regression was used to analyze the factors influencing successful ambulation on postoperative Day 1. Postoperative recovery indicators, including catheter removal time, hospital length of stay, drainage volume on postoperative Day 3, and pain scores for the low back and legs, were compared between the two groups.Results:A total of 378 patients were included in the analysis. Among them, 316 patients (83.6%) successfully ambulated on postoperative Day 1, while 62 patients (16.4%) had delayed ambulation. Logistic regression analysis indicated that postoperative Day 1 hemoglobin classification and pre-ambulation low back pain score in the supine position were independent factors influencing successful ambulation on Day 1 ( P<0.05). The successful ambulation group had a shorter catheter removal time and hospital stay compared to the delayed ambulation group, with statistically significant differences ( P<0.05). There were no significant differences between the two groups in postoperative drainage volume, low back pain scores, leg pain scores, or Oswestry Disability Index scores before discharge (all P>0.05) . Conclusions:Postoperative Day 1 hemoglobin levels and pre-ambulation low back pain scores are independent factors influencing the success of ambulation on postoperative Day 1 in patients undergoing PLIF surgery. Early ambulation on postoperative Day 1 helps reduce catheter removal time and length of hospital stay without increasing postoperative drainage or pain levels.

Humans ; Acute Disease ; Pancreatitis/diagnosis* ; Follow-Up Studies ; Patient Discharge ; Disease Progression

During early embryonic development, cell fate commitment represents a critical transition or "tipping point" of embryonic differentiation, at which there is a drastic and qualitative shift of the cell populations. In this study, we presented a computational approach, scGET, to explore the gene-gene associations based on single-cell RNA sequencing (scRNA-seq) data for critical transition prediction. Specifically, by transforming the gene expression data to the local network entropy, the single-cell graph entropy (SGE) value quantitatively characterizes the stability and criticality of gene regulatory networks among cell populations and thus can be employed to detect the critical signal of cell fate or lineage commitment at the single-cell level. Being applied to five scRNA-seq datasets of embryonic differentiation, scGET accurately predicts all the impending cell fate transitions. After identifying the "dark genes" that are non-differentially expressed genes but sensitive to the SGE value, the underlying signaling mechanisms were revealed, suggesting that the synergy of dark genes and their downstream targets may play a key role in various cell development processes.The application in all five datasets demonstrates the effectiveness of scGET in analyzing scRNA-seq data from a network perspective and its potential to track the dynamics of cell differentiation. The source code of scGET is accessible at https://github.com/zhongjiayuna/scGET_Project.

The insufficient reporting of adverse reactions of Chinese proprietary medicines is common. In addition, there is a lack of safety information in the specifications of Chinese proprietary medicines, which led to less evidence for clinical safety of Chinese proprietary medicines in clinical practice. It is urgent to carry out post-marketing clinical safety re-evaluation of Chinese proprietary medicine. Developing a clinical safety evaluation data set for Chinese proprietary medicine may reduce the insufficient reporting of safety information and the inconsistency of data reporting in similar studies, as well as include more studies in systematic reviews, so that they can provide higher-level evidence for clinical safety of Chinese proprietary medicine. This paper proposes a method for developing core data set of clinical safety evaluation of Chinese proprietary medicine: firstly, the application scope of core data set for clinical safety evaluation was determined according to the characteristics of diseases, population, research objectives, administration methods, evaluation methods, etc. Systematic reviews and semi-structured interviews should be conducted to develop the list of original items for clinical safety evaluation. Based on the list, Delphi surveys can be developed in different stakeholders. Then the final core data set can be developed via consensus meetings.

Objective: To conduct a comprehensive and systematic review of the efficacy and safety of Wenxin Keli (WXKL) in the treatment of atrial fibrillation (AF) . Methods: Seven databases (PubMed, The Cochrane Library, Web ofScience, CNKI, Wanfang Database, VIP and SinoMed) were searched to identify relevant randomized controlled trials (RCTs) from inceptions to 1 October, 2018. Two review authors independently assessed the methodological quality andanalyzed data by Cochrane handbook and the Rev Man 5.3 software. Begg.s test was conducted to assess publication biasvia Stata 14 software. Results: Twenty-four RCTs with 2246 patients were included in this review. Compared with blankcontrol, placebo or western medicine alone, WXKL alone or combined with western medicine could effectively reducerapid ventricular rate (MD=-7.14, 95％CI:-8.42——5.87), the frequency and duration of AF. It could also shorten thesinus rhythm conversion time (MD=-3.04, 95％CI:-3.47——2.61), increase the sinus rhythm conversion rate (RR=1.19, 95％ CI: 1.09～1.29) and decrease recurrence rate of AF (RR=0.28, 95％ CI: 0.13-0.59) . Besides, WXKL alone orcombined with western medicine was beneficial for improving the left ventricular ejection fraction (LVEF) (MD=3.44, 95％ CI: 0.87-6.01), left ventricular end diastolic diameter (LVEDD) (MD=-2.47, 95％ CI:-2.86——2.08), left atrialdiameter (LAd) (MD=-0.91, 95％CI:-1.58——0.25) and P wave dispersion (Pd) (MD=-4.04, 95％CI:-4.15——3.93) .WXKL combined with low-dose amiodarone was superior to conventional-dose amiodarone alone in improving themaximum P wave (Pmax) (MD=-8.25, 95％ CI:-10.33——6.17), and WXKL combined with conventional-doseamiodarone is more effective (MD=-13.10, 95％CI:-13.65——12.55) . Compared with the control group, the treatmentgroup had fewer adverse reactions, and the Begg.s test did not find any publication bias. Conclusion: WXKL alone orcombined with western medicine exhibited better therapeutic effects in the treatment of AF, but these results still needhigh-quality evidence to verify.