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

The AP2/ERF transcription factor family is a class of transcription factors widely present in plants, playing a crucial role in regulating flowering, flower development, flower opening, and flower senescence. Based on transcriptome data from flower, leaf, and stem samples of two Lonicera macranthoides varieties, 117 L. macranthoides AP2/ERF family members were identified, including 14 AP2 subfamily members, 61 ERF subfamily members, 40 DREB subfamily members, and 2 RAV subfamily members. Bioinformatics and differential gene expression analyses were performed using NCBI, ExPASy, SOMPA, and other platforms, and the expression patterns of L. macranthoides AP2/ERF transcription factors were validated via qRT-PCR. The results indicated that the 117 LmAP2/ERF members exhibited both similarities and variations in protein physicochemical properties, AP2 domains, family evolution, and protein functions. Differential gene expression analysis revealed that AP2/ERF transcription factors were primarily differentially expressed in the flowers of the two L. macranthoides varieties, with the differentially expressed genes mainly belonging to the ERF and DREB subfamilies. Further analysis identified three AP2 subfamily genes and two ERF subfamily genes as potential regulators of flower development, two ERF subfamily genes involved in flower opening, and two ERF subfamily genes along with one DREB subfamily gene involved in flower senescence. Based on family evolution and expression analyses, it is speculated that AP2/ERF transcription factors can regulate flower development, opening, and senescence in L. macranthoides, with ERF subfamily genes potentially serving as key regulators of flowering duration. These findings provide a theoretical foundation for further research into the specific functions of the AP2/ERF transcription factor family in L. macranthoides and offer important theoretical insights into the molecular mechanisms underlying floral phenotypic differences among its varieties.
Plant Proteins/chemistry* ; Gene Expression Regulation, Plant ; Transcription Factors/chemistry* ; Lonicera/classification* ; Flowers/metabolism* ; Phylogeny ; Gene Expression Profiling ; Multigene Family

Objective:To compare the clinical effect of femoral neck system (FNS) and cannulated compression screw internal fixation in the treatment of femoral neck fractures in young and middle-aged patients.Methods:The databases of CNKI, Wanfang Data Knowledge Service Platform, VIP, Chinese Medical Journal Full-text Database, PubMed, Embase, Web of Science and Cochrane Library were searched. The intraoperative blood loss, intraoperative fluoroscopy times, hospital stay, fracture healing time, Harris hip function score, partial weight-bearing time and complication rate were extracted to compare the clinical efficacy of the two surgical methods. Stata18.0 statistical software was used for meta-analysis.Results:A total of 699 patients from 11 studies were included in this study. Compared with cannulated compression screw internal fixation, the FNS had a shorter operation time [ WMD= -8.54, 95% CI(-14.87, -2.21), P=0.008], fewer intraoperative fluoroscopy times[ WMD= -8.29, 95% CI(-11.45, -5.12), P< 0.001], a shorter fracture healing time [ WMD=-1.59, 95% CI(-2.49, -0.68), P=0.001], a shorter partial weight-bearing time[ WMD=-3.45, 95% CI(-4.43, -2.46), P<0.001], a lower incidence of postoperative complications [ RR=0.41, 95% CI(0.22, 0.76), P= 0.004], and a lower incidence of postoperative nonunion [ RR=0.40, 95% CI(0.18, 0.88), P=0.022]. Meanwhile, the FNS group had more intraoperative blood loss [ WMD=9.53, 95% CI(2.70, 16.35), P=0.006] and a higher Harris hip function score at the last follow-up [ WMD=3.50, 95% CI(2.11, 4.89), P<0.001] than the cannulated compression screw internal fixation group. There were no statistically significant differences in the length of hospital stay [ WMD=-0.48, 95% CI(-0.82, -0.13), P=0.092] or the incidence of femoral head necrosis [ RR=0.57, 95% CI(0.26, 1.24), P=0.159] between the two groups. Conclusion:Compared with cannulated compression screw internal fixation in the treatment of femoral neck fracture in young and middle-aged patients, FNS has more intraoperative blood loss, but it has more advantages in operation time, intraoperative blood loss, intraoperative fluoroscopy times, postoperative fracture healing time, Harris hip function score, partial weight-bearing time, postoperative nonunion rate and postoperative complications rate.

Background: Urinalysis, an essential diagnostic tool, faces challenges in terms of standardization and accuracy. The use of artificial intelligence (AI) with mobile technology can potentially solve these challenges. Therefore, we investigated the effectiveness and accuracy of an AI-based program in automatically interpreting urine test strips using mobile phone cameras, an approach that may revolutionize point-of-care testing. Methods: We developed novel urine test strips and an AI algorithm for image capture.Sample images from the Chungnam National University Sejong Hospital were collected to train a k-nearest neighbor classification algorithm to read the strips. A mobile application was developed for image capturing and processing. We assessed the accuracy, sensitivity, specificity, and ROC area under the curve for 10 parameters. Results: In total, 2,612 urine test strip images were collected. The AI algorithm demonstrated 98.7% accuracy in detecting urinary nitrite and 97.3% accuracy in detecting urinary glucose. The sensitivity and specificity were high for most parameters. However, this system could not reliably determine the specific gravity. The optimal time for capturing the test strip results was 75 secs after dipping. Conclusions The AI-based program accurately interpreted urine test strips using smartphone cameras, offering an accessible and efficient method for urinalysis. This system can be used for immediate analysis and remote testing. Further research is warranted to refine test parameters such as specific gravity to enhance accuracy and reliability.

With the rapid development of sequencing technologies, the detection of alternative polyadenylation (APA) in mammals has become more precise. APA precisely regulates gene expression by altering the length and position of the poly(A) tail, and is involved in various biological processes such as disease occurrence and embryonic development. The research on APA in mammals mainly focuses on the following aspects:(1) identifying APA based on transcriptome data and elucidating their characteristics; (2) investigating the relationship between APA and gene expression regulation to reveal its important role in life regulation;(3) exploring the intrinsic connections between APA and disease occurrence, embryonic development, differentiation, and other life processes to provide new perspectives and methods for disease diagnosis and treatment, as well as uncovering embryonic development regulatory mechanisms. In this review, the classification, mechanisms and functions of APA were elaborated in detail and the methods for APA identifying and APA data resources based on various transcriptome data were systematically summarized. Moreover, we epitomized and provided an outlook on research on APA, emphasizing the role of sequencing technologies in driving studies on APA in mammals. In the future, with the further development of sequencing technology, the regulatory mechanisms of APA in mammals will become clearer.

Objective To develop dynamic prediction models based on multiple postnatal time points to support early diagnosis and individualized intervention for bronchopulmonary dysplasia(BPD)in preterm infants with gestational age<32 weeks.Methods Clinical data of 472 preterm infants with gestational age<32 weeks admitted to the Second Xiangya Hospital of Central South University between January 2016 and November 2020 were retrospectively analyzed.Multivariable logistic regression was applied to develop five independent prediction models at postnatal days 1,7,14,21,and 28.The performance of the models was assessed using the area under the receiver operating characteristic curve(AUC)and the Hosmer-Lemeshow test.Results Baseline characteristics such as gestational age and birth weight differed significantly between the BPD group(n=147)and the non-BPD group(n=325)(P<0.05).Predictors of BPD evolved across time points:on day 1,key predictors included gestational age,birth weight,Score for Neonatal Acute Physiology II(SNAP-II),invasive mechanical ventilation,and fraction of inspired oxygen>30%;by day 7,additional variables emerged,including fasting duration>2 days,mean feeding advancement rate<8.5 mL/(kg·d),neonatal respiratory distress syndrome,apnea of prematurity,and positive sputum culture;from day 14 onward,nutrition-and treatment-related indicators were incorporated additionally.The models demonstrated good discrimination at postnatal days 1,7,14,21,and 28,with AUCs of 0.917,0.927,0.939,0.944,and 0.968,respectively,and good calibration(Hosmer-Lemeshow P>0.05).Internal validation showed AUCs ranging from 0.899 to 0.958,indicating robust performance.Conclusions Dynamic postnatal prediction models incorporating indicators spanning perinatal factors,respiratory support,nutritional management,and therapeutic interventions demonstrate high predictive performance and facilitate dynamic risk assessment for BPD in preterm infants with gestational age<32 weeks.

Objective:To compare the clinical effect of femoral neck system (FNS) and cannulated compression screw internal fixation in the treatment of femoral neck fractures in young and middle-aged patients.Methods:The databases of CNKI, Wanfang Data Knowledge Service Platform, VIP, Chinese Medical Journal Full-text Database, PubMed, Embase, Web of Science and Cochrane Library were searched. The intraoperative blood loss, intraoperative fluoroscopy times, hospital stay, fracture healing time, Harris hip function score, partial weight-bearing time and complication rate were extracted to compare the clinical efficacy of the two surgical methods. Stata18.0 statistical software was used for meta-analysis.Results:A total of 699 patients from 11 studies were included in this study. Compared with cannulated compression screw internal fixation, the FNS had a shorter operation time [ WMD= -8.54, 95% CI(-14.87, -2.21), P=0.008], fewer intraoperative fluoroscopy times[ WMD= -8.29, 95% CI(-11.45, -5.12), P< 0.001], a shorter fracture healing time [ WMD=-1.59, 95% CI(-2.49, -0.68), P=0.001], a shorter partial weight-bearing time[ WMD=-3.45, 95% CI(-4.43, -2.46), P<0.001], a lower incidence of postoperative complications [ RR=0.41, 95% CI(0.22, 0.76), P= 0.004], and a lower incidence of postoperative nonunion [ RR=0.40, 95% CI(0.18, 0.88), P=0.022]. Meanwhile, the FNS group had more intraoperative blood loss [ WMD=9.53, 95% CI(2.70, 16.35), P=0.006] and a higher Harris hip function score at the last follow-up [ WMD=3.50, 95% CI(2.11, 4.89), P<0.001] than the cannulated compression screw internal fixation group. There were no statistically significant differences in the length of hospital stay [ WMD=-0.48, 95% CI(-0.82, -0.13), P=0.092] or the incidence of femoral head necrosis [ RR=0.57, 95% CI(0.26, 1.24), P=0.159] between the two groups. Conclusion:Compared with cannulated compression screw internal fixation in the treatment of femoral neck fracture in young and middle-aged patients, FNS has more intraoperative blood loss, but it has more advantages in operation time, intraoperative blood loss, intraoperative fluoroscopy times, postoperative fracture healing time, Harris hip function score, partial weight-bearing time, postoperative nonunion rate and postoperative complications rate.

Objective To develop dynamic prediction models based on multiple postnatal time points to support early diagnosis and individualized intervention for bronchopulmonary dysplasia(BPD)in preterm infants with gestational age<32 weeks.Methods Clinical data of 472 preterm infants with gestational age<32 weeks admitted to the Second Xiangya Hospital of Central South University between January 2016 and November 2020 were retrospectively analyzed.Multivariable logistic regression was applied to develop five independent prediction models at postnatal days 1,7,14,21,and 28.The performance of the models was assessed using the area under the receiver operating characteristic curve(AUC)and the Hosmer-Lemeshow test.Results Baseline characteristics such as gestational age and birth weight differed significantly between the BPD group(n=147)and the non-BPD group(n=325)(P<0.05).Predictors of BPD evolved across time points:on day 1,key predictors included gestational age,birth weight,Score for Neonatal Acute Physiology II(SNAP-II),invasive mechanical ventilation,and fraction of inspired oxygen>30%;by day 7,additional variables emerged,including fasting duration>2 days,mean feeding advancement rate<8.5 mL/(kg·d),neonatal respiratory distress syndrome,apnea of prematurity,and positive sputum culture;from day 14 onward,nutrition-and treatment-related indicators were incorporated additionally.The models demonstrated good discrimination at postnatal days 1,7,14,21,and 28,with AUCs of 0.917,0.927,0.939,0.944,and 0.968,respectively,and good calibration(Hosmer-Lemeshow P>0.05).Internal validation showed AUCs ranging from 0.899 to 0.958,indicating robust performance.Conclusions Dynamic postnatal prediction models incorporating indicators spanning perinatal factors,respiratory support,nutritional management,and therapeutic interventions demonstrate high predictive performance and facilitate dynamic risk assessment for BPD in preterm infants with gestational age<32 weeks.

Objective:To investigate the efficacy and safety of stanozolol combined with avatrombopag in the treatment of chemotherapy-induced thrombocytopenia(CIT)in patients with relapsed/refractory tumors.Methods:Twenty-five patients with relapsed/refractory CIT admitted to the Hematology Department of Xiyuan Hospital,China Academy of Chinese Medical Sciences between March 2023 to December 2023 were enrolled.These patients received a combined therapy of stanozolol and avatrombopag.The clinical efficacy,onset time,changes in platelet levels and blood cell counts before and after treatment,and adverse reactions of patients were evaluated.Results:The combination therapy demonstrated remarkable efficacy with a total effective rate of 100％.Among the 25 patients,19 achieved complete remission and 6 achieved partial remission.The median onset time was 42.5(range:35-48)days.The average platelet count of the 25 patients increased from(25.73±17.75)× 109/L before treatment to(146.4±49.59)× 109/L after 3 months of treatment,with a statistically significant difference(P＜0.05).18 patients who previously required platelet transfusion were all weaned off platelet transfusion after 3 months of treatment,with a median time to be free from platelet transfusion was 26(range:18-51)days.During the treatment,both neutrophils and hemoglobin exhibited various degrees of elevation.Two patients experienced a slight increase in alanine aminotransferase(ALT)levels,which normalized after treatment with oral hepatoprotective drug.One patient had a PLT increase exceeding 350 ×109/L,and the treatment with avatrombopag was suspended,and aspirin and other drugs were given to prevent thrombosis.No thrombose events or CIT-related bleeding events were observed in all patients.Conclusion:The combination therapy of stanozolol and avatrombopag is significantly effective for treating relapsed/refractory CIT patients,with a high response rate and good safety,making it a suitable clinical treatment option.

AIM To study the chemical constituents from Ligularia duciformis(C.Winkl.)Hand.-Mazz.and their anti-inflammatory activities.METHODS The ethanol extract from L.duciformis was isolated and purified by HPLC,gel column and silica gel chromatography,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The anti-inflammatory activities of the compounds in vitro was determined by CCK-8 and Griess methods.RESULTS Eighteen compounds were isolated and identified as 14-acetoxy-7β-senecioyloxy-1-(2-methylbutyryloxy)-notonipetranone(1),rel-(1R,3αS,5R,6S,7R,7αS)-1-[(1S)-1-(acetyloxy)ethyl]octahydro-6-[(2-methylbutanoyl)oxy]-4-methylidene-2-oxo-7-(propan-2-yl)-1H-inden-5-yl(2E)-3-methylpent-2-enoate(2),tussilagone(3),petasipaline B(4),8α-hydroxy-4(15),11-eudesmadiene(5),lupenone(6),lupeol(7),(3[3)-lup-20(29)-en-3-yl stearate(8),pinoresinol monoglucoside(9),isoeucommin A(10),isoline(11),uridine(12),tetratriacontanol(13),palmitic acid(14),tridec-1-ene(15),cis-octadec-9-enoic acid(16),methyl-α-D-fructofuranoside(17),β-sitosterol(18).Compounds 1-6,9-11 and 14 showed inhibitory activities against LPS-induced NO production in RAW264.7 cells.CONCLUSION Compounds 3-6,8-10,12-17 are first isolated from this plant.Compounds 1-6,9-11 and 14 have anti-inflammatory activities.