Objective: To characterize longitudinal trajectories of testicular development in boys and breast development in girls, so as to provide reference data for understanding patterns of pubertal sexual maturation. Methods: Based on the Shanghai Pudong New Area Cohort Study on Growth, Development and Health in Children and Adolescents, a baseline survey was conducted in 2020 using a mult stage cluster random sampling method. A total of 2 184 children who completed all follow ups during the primary school period from 13 elementary schools in Pudong New Area,Shanghai,with annual follow ups during 2021-2025. Testicular volume and Tanner stage of breast development were assessed by professional physicians using standardized visual inspection and palpation. The age distribution of testicular volume and breast development was fitted by using cumulative link mixed models and Turnbull s nonparametric maximum likelihood estimation method. Results: Median ages for testicular volumes of 2, 3, 4 and 5 mL in boys were 7.07, 9.24, 10.29, and 11.57 years old, respectively. Median ages for Tanner breast stages Ⅱ, Ⅲ, Ⅳ, and Ⅴ in girls were 8.55 , 10.17, 11.18, and 13.78 years old, respectively. Based on overweight and obesity, stratified analysis showed that earlier pubertal onset among overweight/obesity children, and the key milestones for pubertal initiation were testicular volume reaching 4 mL in boys and breast Tanner II in girls for 10.29, 10.83; 8.18, 9.00 years. Conclusion Overweight and obesity are associated with earlier pubertal initiation,but there are certain gender and developmental stage specific patterns.

Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. This review emphasizes the clinical application of AI in PCa by discussing recent advancements from both pathological and imaging perspectives. Furthermore, it explores the current challenges faced by AI in clinical applications while also considering future developments, aiming to provide a valuable point of reference for the integration of AI and clinical applications.
Humans ; Prostatic Neoplasms/diagnosis* ; Male ; Artificial Intelligence ; Deep Learning ; Prognosis

Advancements in artificial intelligence (AI) and emerging technologies are rapidly expanding the exploration of chemical space, facilitating innovative drug discovery. However, the transformation of novel compounds into safe and effective drugs remains a lengthy, high-risk, and costly process. Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development. Despite this need, no comprehensive tool currently supports systematic evaluation and efficient screening. Here, we present druglikeFilter, a deep learning-based framework designed to assess drug-likeness across four critical dimensions: 1) physicochemical rule evaluated by systematic determination, 2) toxicity alert investigated from multiple perspectives, 3) binding affinity measured by dual-path analysis, and 4) compound synthesizability assessed by retro-route prediction. By enabling automated, multidimensional filtering of compound libraries, druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates, which can be freely accessed at https://idrblab.org/drugfilter/.

Objective To explore the value of ultrasound artificial intelligence(AI)in assisting naval grassroots doctors for the diagnosis of thyroid nodule in naval.Methods A total of 177 patients with thyroid nodules(200 thyroid nodules)who visited The First Affiliated Hospital of Naval Medical University from November 2020 to November 2023 were selected as research objects.The thyroid nodules were diagnosed by naval grassroots doctors,naval grassroots doctors assisted by AI,and senior doctors,respectively.Results The pathological results showed that there were 110 malignant nodules and 90 benign nodules.The diagnostic accuracy rate of AI-assisted group(85.0%)was similar to that of senior doctor group(87.0%),which were higher than that of naval grassroots doctor group(71.5%).Pathological results were taken as the gold standard,Kappa consistency test was carried out,and the area under the receiver operating characteristic(ROC)curve(AUC)was compared among groups.The diagnostic results of naval grassroots doctor group had a moderate consistency with pathological results(Kappa value was 0.424,P<0.001).The diagnostic results of AI group and senior doctor group had strong consistencies with pathological results(Kappa values were 0.693 and 0.735,respectively,both P<0.001).There was no significant difference in the AUC between AI group and senior doctor group(0.842 vs.0.864,P>0.05).However,there was a significant difference in the AUC between naval grassroots doctor group and AI group(0.712 vs.0.842,P<0.001).Conclusion AI can assist naval grassroots doctors in improving the diagnostic level of thyroid nodules.It has certain application prospects in naval forces.

Advancements in artificial intelligence(AI)and emerging technologies are rapidly expanding the exploration of chemical space,facilitating innovative drug discovery.However,the transformation of novel compounds into safe and effective drugs remains a lengthy,high-risk,and costly process.Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development.Despite this need,no comprehensive tool currently supports systematic evaluation and efficient screening.Here,we present druglikeFilter,a deep learning-based framework designed to assess drug-likeness across four critical dimensions:1)physicochemical rule evaluated by systematic determination,2)toxicity alert investigated from multiple perspectives,3)binding affinity measured by dual-path analysis,and 4)compound synthesizability assessed by retro-route prediction.By enabling automated,multidimensional filtering of compound libraries,druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates,which can be freely accessed at https://idrblab.org/drugfilter/.

Objective:To establish patient-derived organoid models of pleomorphic adenomas (PA) of the parotid gland and preliminarily characterize their histology, related biomarkers and functions.Methods:Fresh tumor tissue specimens were collected from surgical procedures of Oral and Maxillofacial Department. The harvested tissues were processed and cultured in a head and neck tumor organoid culture system to establish organoid models from parotid gland pleomorphic adenomas. The in vitro growth of PA organoids was recorded by light microscopy. The successfully established organoids were passaged and cryopreserved, and the cryopreserved PA organoids were revived and re-cultured to observe their viability and organoid regeneration ability. Histological characterization, as well as characterization and detection of related markers and functional proteins, were performed on the organoids, comparing them with the patient-derived tissues. Results:The constructed organoid model of pleomorphic adenoma exhibited a dense and compact three-dimensional spherical structure. Hematoxylin and eosin staining indicated morphological similarities between the organoid and its tissue of origin. Immunohistochemistry showed positive cytoplasmic staining for Calponin, cytokeratin 7, and epithelial membrane antigen in both the organoid and the source tumor tissue, suggesting consistent histopathological characteristics between the organoid and its tissue of origin. Periodic acid-Schiff staining of the organoid showed positive staining for glycogen, with positive staining located in the interior and periphery of the organoid, indicating that the organoid possessed secretory functions like the salivary gland.Conclusions:This study successfully constructed organoids of pleomorphic adenoma derived from patient samples. This model faithfully replicates the tissue morphology and biomarkers of the source tissue and exhibits biological functions associated with mucus secretion. It serves as a valuable in vitro model for studying the development and progression of salivary gland tumors.

[Objective]To observe and analyze the vitreoretinal interface changes in type 2 diabetic retinopathy(DR)by using ultra-wide field swept-source optical coherence tomography(UWF SS-OCT)/swept-source optical coherence tomography angiography(SS-OCTA).[Methods]This study enrolled 143 patient with diabetic mellitus.We performed SS-OCT on 258 eyes and OCTA on 69 eyes with proliferative diabetic retinopathy(PDR),then analyzed the images to assess the relationship between posterior vitreous detachment(PVD)and DR severity,and to measure the growth of retinal neovascularization in PDR eyes with different stages of PVD.[Results]PVD stage was negatively correlated with DR severity(Gamma=-0.294,P<0.001),that is,the more extensive the vitreoretinal adhesion,the more severe the DR.The negative correlation between PVD stage and DR severity was more evident in patients with diabetes duration more than 10 years(Gamma=-0.620,P<0.001).Retinal neovascularization occurred more commonly in the area of vitreoretinal adhesion.[Conclusions]The degree of vitreoretinal adhesion is closely related to the DR severity.It is very important to use SS-OCT to evaluate the vitreoretinal interface in the management of DR patients.

Objective:To observe the clinical effect of initiating continuous blood purification (CBP) treatment at different times for patients with severe acute pancreatitis (SAP), and to explore the optimal timing for starting CBP treatment for SAP, so as to provide evidence for clinicians to start CBP treatment.Methods:A retrospective cohort study was used to select patients with SAP who received CBP treatment in People's Hospital of Hunan Province from January 2020 to December 2023. According to the timing of CBP initiation, the patients were divided into early initiation group (diagnosis of SAP to the first CBP treatment time < 24 hours) and late initiation group (diagnosis of SAP to the first CBP treatment time of 24-48 hours). The general data, acute physiology and chronic health evaluationⅡ(APACHEⅡ), bedside index for severity in acute pancreatitis (BISAP) score and laboratory indicators, local complications and systemic complications, intensive care unit (ICU) treatment time, hospital stay, treatment cost, and clinical outcome of the two groups were collected and compared.Results:A total of 130 patients with SAP who received CBP treatment were enrolled, including 90 patients in the early initiation group and 40 patients in the late initiation group. Before treatment, there were no significant differences in gender, age, APACHEⅡscore, BISAP score, etiology and laboratory examination indexes between the early initiation group and late initiation group. At 48, 72, 96 hours after treatment, the blood calcium level of the two groups was significantly higher than that before treatment, and the levels of white blood cell count (WBC), C-reactive protein (CRP), lactic acid, interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), APACHEⅡscore and BISAP score were significantly lower than those before treatment. The WBC level, APACHEⅡscore and BISAP score of the late initiation group were significantly lower than those of the early initiation group at 72 hours and 96 hours after treatment [WBC (×10 9/L): 10.96 (8.68, 13.04) vs. 12.45 (8.93, 16.30) at 72 hours after treatment, and 10.18 (8.68, 12.42) vs. 11.96 (8.81, 16.87) at 96 hours after treatment; APACHEⅡscore: 9.50 (5.75, 12.00) vs. 11.00 (6.25, 14.00) at 72 hours after treatment, and 10.00 (4.00, 12.00) vs. 12.00 (7.00, 14.75) at 96 hours after treatment; BISAP score: 2.35±1.03 vs. 2.76±1.10 at 72 hours after treatment, and 2.08±1.21 vs. 2.70±1.11 at 96 hours after treatment], the differences were statistically significant (all P < 0.05). In terms of complications, the incidence of pancreatic abscess in the late initiation group was significantly lower than that in the early initiation group [5.00% (2/40) vs. 20.00% (18/90)], but the incidence of abdominal compartment syndrome was significantly higher than that in the early initiation group [42.50% (17/40) vs. 13.33% (12/90)], the differences were statistically significant (all P < 0.05). In addition, the ICU treatment time in the early initiation group was significantly shorter than that in the late initiation group [days: 11.00 (6.00, 20.00) vs. 15.00 (9.75, 25.00), P < 0.05], and there were no statistically significant differences in hospitalization costs, length of stay and mortality between the two groups. Conclusions:CBP can effectively increase the level of blood calcium and decrease the level of lactic acid and inflammatory factors. Starting CBP within 24-48 hours after diagnosis of SAP can reduce WBC level and disease severity score faster, and reduce the occurrence of pancreatic abscess. Initiation of CBP within 24 hours after diagnosis of SAP can reduce the incidence of abdominal compartment syndrome and shorten the duration of ICU treatment.

Objectives:To retrieve,evaluate and summarize the contemporary evidence of strategies for weaning from extracorporeal membrane oxygenation(ECMO)of adult patients,and to provide evidence-based reference for clinical practice. Methods:The Web of Science,Embase,Cochrane Library,PubMed,Wanfang Database,CNKI,VIP website,SinoMed,BMJ Best Practice,National Institute for Health and Care Excellence,Joanna Briggs Institute Library,UpToDate and the website of Agency for Healthcare Research and Quality,Society of Critical Care Medicine,American Association of Critical-Care Nurses,European Society of Intensive Care Medicine and Extracorporeal Life Support Organization were researched to collect the literature related to randomized controlled trials,systematic reviews,guidelines,evidence summaries,expert consensuses and clinical decisions in this field.The time limit for the retrieval is from the inception of databases until July 2023. Results:A total of 13 related literature were retrieved,including 4 guidelines,4 expert consensuses,3 clinical decisions and 2 system reviews.Totally 42 evidences were formulated based on retrieved literature,including adequately accessing the ability of gas exchange before weaning from veno-venous ECMO(V-V ECMO)and withdrawing from veno-arterial ECMO(V-A ECMO)as soon as possible when patients's heart function has recovered,involving six aspects such as team composition,anticoagulation measures,assessment before weaning,weaning implementation,cannula and wound management and quality measures. Conclusions:It is suggested to build a professional ECMO team based on the actual hospital situation,to follow the contemporary evidence to standardize the weaning process of patients from ECMO to ensure the patients'safety and improve the outcomes.