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.

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 investigate and evaluate the clinical efficacy and safety of a modified anterior approach for transpupillary silicone oil removal combined with phacoemulsification and intraocular lens (IOL) implantation.Methods:A retrospective case-control study. A total of 148 patients (148 eyes) who underwent silicone oil removal combined with cataract surgery at the Department of Ophthalmology, Guangdong Provincial People's Hospital between January 2020 and November 2024 were included in the study. All affected eyes underwent preoperative examinations including best-corrected visual acuity (BCVA), intraocular pressure, corneal topography, and optical coherence tomography (OCT). Based on the method of silicone oil removal, the eyes were divided into two groups: group A (modified anterior approach transpupillary silicone oil removal combined with phacoemulsification and IOL implantation, 99 eyes) and group B (standard pars plana vitrectomy for silicone oil removal combined with phacoemulsification and IOL implantation, 49 eyes). The surgical duration, changes in BCVA and intraocular pressure at 1 day, 7 days, and 1 month postoperatively, as well as the incidence of complications such as corneal edema and its resolution, conjunctival congestion, iris prolapse, posterior capsule rupture, nucleus drop, IOL position, residual silicone oil in the vitreous cavity or anterior chamber, vitreous hemorrhage, recurrent retinal detachment (RD), and choroidal detachment or hemorrhage, were compared between the two groups. The independent sample t-test was used for the comparison of measurement data between the two groups, and the χ2 test was used for the comparison of count data. Results:The operation time of group A and group B was (17.01±1.28) min and (31.62±2.32) min, respectively. The operation time of group A was significantly shorter than that of group B, and the difference was statistically significant ( t=?41.002, P<0.001). The comparison of BCVA ( t =?0.561, ?0.833, ?1.386) and IOP ( t=?0.055, 1.375, ?0.507) between the two groups of affected eyes before surgery and at 1 day and 7 days after surgery showed no statistically significant differences ( P>0.05). There was no silicone oil residual in group A, while 3 eyes in group B were observed with silicone oil residual (6.1%, 3/49). Neovascular glaucoma was observed in one eye. Compared to group A, group B exhibited a statistically significant increase in the incidence of postoperative conjunctival congestion, silicone oil retention, and posterior capsular opacification ( χ2=10.600, 6.187, 92.617; P<0.05). In contrast, no statistically significant differences were observed between the groups in the incidence of corneal edema or recurrent retinal detachment (RD) ( χ2=0.272, 1.557; P>0.05). No intraoperative complications, such as iris prolapse, posterior capsular rupture, nucleus drop, zonular dehiscence, choroidal detachment, or hemorrhage, occurred in any of the operated eyes. Furthermore, no postoperative complications, including corneal endothelial decompensation, IOL displacement, or endophthalmitis, were observed during the follow-up period. Conclusion:Compared to the conventional pars plana approach for silicone oil removal combined with cataract surgery, the modified anterior perfusion transpupillary approach demonstrated significantly shorter surgical duration and a reduced incidence of postoperative complications.

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/.

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

Objective To understand the distribution and antimicrobial resistance profiles of bacterial strains isolated from blood cultures at Yunyang County People's Hospital from 2019 to 2023.Methods The data of bacterial isolates from blood samples and the results of antimicrobial susceptibility testing were analyzed retrospectively from 2019 to 2023 at Yunyang County People's Hospital.Results A total of 3 789 bacterial strains were isolated from blood culture,including 1 931(51.0％)strains of Gram negative bacteria and 1 858(49.0％)strains of Gram positive bacteria.Coagulase negative Staphylococcus(33.3％),Escherichia coli(25.4％),Klebsiella pneumoniae(13.7％),Staphylococcus aureus(9.9％),and Enterobacter cloacae(1.8％)were the top five bacterial pathogens.Antimicrobial susceptibility testing showed that the prevalence of methicillin-resistant strains was 27.1％in S.aureus,34.5％in S.epidermidis,and 49.9％in other coagulase-negative Staphylococcus.Methicillin resistant strains(MRSA,MRSE,and other MRCNS)showed significantly higher resistance rates to most antibiotics than corresponding methicillin-susceptible strains(MSSA,MSSE,and other MSCNS).No staphylococcal isolates were resistant to vancomycin,teicoplanin,linezolid,or tigecycline.Enterococcus faecium showed significantly higher resistance rate to antibiotics than Enterococcus faecalis.No enterococcal strains were resistant to vancomycin,teicoplanin,linezolid,or tigecycline.No streptococcal isolates were found resistant to vancomycin or linezolid.Serratia marcescens strains had a resistance rate of 25.0％to carbapenems.All other Enterobacterales species showed a resistance rate of less than 10.0％to carbapenems.No Enterobacterales isolates were found resistant to tigecycline.The resistance rates of P.aeruginosa to imipenem and meropenem were 5.7％and 3.8％,respectively.No P.aeruginosa isolates were found resistant to colistin.The resistance rates of Acinetobacter baumannii to imipenem and meropenem were 41.4％and 38.0％,respectively.Conclusions The proportion of Gram negative bacteria is slightly higher than that of Gram positive bacteria in the bacterial isolates from blood samples at Yunyang County People's Hospital.The prevalence of MRSA and MRCNS is relatively high,while A.baumannii and S.marcescens showed high resistance rates to carbapenems.Antimicrobial resistance surveillance should be strengthened for the bacterial isolates from blood samples in order to learn the changing resistance profiles,use antibiotics reasonably,and prevent the spread of drug-resistant bacteria.

Objective:To investigate the experiences of residents in completing case reports, the support needed in writing case reports, and the necessary conditions for future case report education.Methods:Using purposive sampling, one-on-one semi-structured in-depth interviews were conducted with residents who had published case reports. A thematic analysis was employed to analyze the data.Results:The study included 15 residents [3 males, 12 females; mean age: (27.20±2.57) years], with 8 undergoing standardized residency training and 7 receiving specialized physician training. The study identified three themes, including the challenges, strategies, and desired support during data collection prior to writing the case report, the writing process, and the submission and publication. The following specific needs were identified. Before writing, residents sought access to free and official research resources, guidance on the value of case publication, high-quality case resources, comprehensive supervision of data collection, access to interdepartmental collaboration, and funding support. During the writing period, they sought case report templates, experiences in writing case reports, guidance on article composition, and motivational support. After writing, they expected operational guidance of submission websites, recommendations for target journals, and templates for revision response letters.Conclusions:This study explored the challenges, strategies, and expected support in the continuous stages of before, during, and after writing case reports, thereby initially identifying the essential support conditions for case report instruction from the perspective of resident physicians.

Objective To understand the distribution and antimicrobial resistance profiles of bacterial strains isolated from blood cultures at Yunyang County People's Hospital from 2019 to 2023.Methods The data of bacterial isolates from blood samples and the results of antimicrobial susceptibility testing were analyzed retrospectively from 2019 to 2023 at Yunyang County People's Hospital.Results A total of 3 789 bacterial strains were isolated from blood culture,including 1 931(51.0％)strains of Gram negative bacteria and 1 858(49.0％)strains of Gram positive bacteria.Coagulase negative Staphylococcus(33.3％),Escherichia coli(25.4％),Klebsiella pneumoniae(13.7％),Staphylococcus aureus(9.9％),and Enterobacter cloacae(1.8％)were the top five bacterial pathogens.Antimicrobial susceptibility testing showed that the prevalence of methicillin-resistant strains was 27.1％in S.aureus,34.5％in S.epidermidis,and 49.9％in other coagulase-negative Staphylococcus.Methicillin resistant strains(MRSA,MRSE,and other MRCNS)showed significantly higher resistance rates to most antibiotics than corresponding methicillin-susceptible strains(MSSA,MSSE,and other MSCNS).No staphylococcal isolates were resistant to vancomycin,teicoplanin,linezolid,or tigecycline.Enterococcus faecium showed significantly higher resistance rate to antibiotics than Enterococcus faecalis.No enterococcal strains were resistant to vancomycin,teicoplanin,linezolid,or tigecycline.No streptococcal isolates were found resistant to vancomycin or linezolid.Serratia marcescens strains had a resistance rate of 25.0％to carbapenems.All other Enterobacterales species showed a resistance rate of less than 10.0％to carbapenems.No Enterobacterales isolates were found resistant to tigecycline.The resistance rates of P.aeruginosa to imipenem and meropenem were 5.7％and 3.8％,respectively.No P.aeruginosa isolates were found resistant to colistin.The resistance rates of Acinetobacter baumannii to imipenem and meropenem were 41.4％and 38.0％,respectively.Conclusions The proportion of Gram negative bacteria is slightly higher than that of Gram positive bacteria in the bacterial isolates from blood samples at Yunyang County People's Hospital.The prevalence of MRSA and MRCNS is relatively high,while A.baumannii and S.marcescens showed high resistance rates to carbapenems.Antimicrobial resistance surveillance should be strengthened for the bacterial isolates from blood samples in order to learn the changing resistance profiles,use antibiotics reasonably,and prevent the spread of drug-resistant bacteria.