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 rapid development of digital intelligence technologies is providing a powerful boost to the high-quality development of the healthcare system.Considering the current state of our healthcare services and guided by General Secretary Xi Jinping's insights on new quality productive forces and the directives from Third Plenary Session of Communist Party of China's 20th Central Committee,the high-quality development of the healthcare service system should focus on digital intelligence technologies such as cloud computing,big data,privacy computing,blockchain,Internet of Things(IoT),mobile computing,and AI.The key measures should include the optimization of production factors,services,and governance.Emphasis should be placed on enhancing the efficient and intensive development of the development model,ensuring the high-quality and continuous integration of the supply model,and transitioning to scientific and modern management methods.Herein,we analyzed the"factor optimization—service optimization—governance optimization"development mechanism driven by digital intelligence and proposed corresponding implementation pathways,intending to provide references for establishing a high-quality and efficient healthcare service system with Chinese characteristics.

Artificial intelligence (AI) has important significance and great promise in the pathological diagnosis,imaging diagnosis,prognosis prediction,and molecular subtyping of prostate cancer (PCa). This review focuses on the progress of AI for the diagnosis and molecular classification of PCa,and briefly introduces the application of AI in the pathological diagnosis of needle biopsy and Gleason grading,pathological diagnosis and grading after prostatectomy,and prognosis prediction of PCa patients based on pathological sections. For the pathological diagnosis of needle biopsy and Gleason grading,AI has already comparable to general pathologists;for the pathological diagnosis and grading after prostatectomy,AI can accurately grade and classify tumors;and for the prognosis prediction of PCa patients,AI can directly extract relevant prognostic information from pathological tissue sections for prognosis prediction. In addition,AI can also predict gene mutations in PCa patients and suggest the probability of gene mutation by analyzing the pathological sections.

Activating transcription factor 3 (ATF3) belongs to the transcription factor ATF/CREB family and is a stress-induced adaptive response gene. ATF3 is involved in the regulation of various cell activities to adapt to the changes in intracellular and extracellular environments. Recent studies have shown that ATF3 plays an important role in the development and progression of various chronic liver diseases, including nonalcoholic fatty liver disease, liver fibrosis, and liver cancer, by regulating gluconeogenesis, lipid metabolism, and immune function. This article reviews the mechanism of action of ATF3 in chronic liver diseases.

Objective: To provide data support for AIDS prevention and control by investigating HIV testing among technician school students in Guangzhou. Methods: A total of 1 112 students were investigated with a questionnaire about AIDS knowledge, attitude, sexual behavior and HIV testing through a stratified cluster random sampling method in October 2018. A Logistic regression analysis was conducted for influencing factors of students’ HIV testing. Results: The HIV testing rate of technician school student was 10.3%. The HIV testing rate (12.1%-24.3%) of male, under 18 years of age, with monthly living expenses over 3 000 yuan and with poor family atmosphere was higher than that of the corresponding group (6.6%-8.4%), the difference were statistically significant (χ2=12.07,7.25,10.73,9.77, P<0.05). Multivariate Logistic regression analysis showed that <18 years of age, willingness to participate in relevant AIDS prevention activities, homosexuality, “support for multiple sexual partners” and having sexual behavior were associated with more HIV testing(P<0.05). Conclusion The incidence of sexual behavior of students in technician school is high while the rate of HIV testing is low, especially for male and male homosexuals.The health and education departments should strengthen students’ AIDS counseling and testing services and raise students’ awareness of AIDS risk in order to improve the coverage of students’ HIV testing.

Objective To explore the effect of Clostridium butyricum ( C. butyricum ) and its metabolite butyrate on the function of intestinal mucosal barrier and intestinal flora in acute necrotizing pancreatitis ( ANP) rats with intra-abdominal hypertension ( IAH) . Methods Eighty SD rats were randomly divided into normal control group (A group, n=20), ANP with IAH group(B group, n=20), ANP with IAH and C. butyricum treated group ( C group, n=20 ) , ANP with IAH and sodium butyrate treated group ( D group, n=20). Rats of C and D group were given intragastric administration of C. butyricum 1 × 109 CFU once a day or 100 mg/kg sodium butyrate once a day from 10 days before modeling. Sodium taurocholate injection method via pancreatobiliary ducts was used to establish ANP with IAH rat model, and the intra-abdominal pressure was measured by direct puncture of left lower belly 24 h after modeling. Blood samples were collected for detecting serum amylase(AMY), tumor necrosis factor alpha (TNF-α), diamine oxidase( DAO ) , lipopolysaccharide ( LPS ) and D-Lactate, and the pathological changes of terminal ileum was observed. Real-time quantitative PCR was used to detect the populations of 6 bacteria in ileum mucosa. Results The levels of AMY, TNF-α, LPS,DAO, D-Lactate and ileum mucosa score were obviously higher in B, C and D group than those in A group, but the number of piobiotic flora in ileum mucosa was lower than that in A group, while the number of pathogenic bacteria was higher than that in A group. The levels of LPS, DAO, D-Lactate and ileum mucosa pathological score were lower in C group and D group than those in B group, but the number of piobiotic flora in ileum mucosa was lower than that in B group, while the number of pathogenic bacteria was higher than that in B group. All the differences above were statistically different (P<0.05). Conclusions C. butyricum and butyrate can maintain the function of intestinal mucosal barrier in ANP rats with IAH, and also readjust the imbalance of intestinal flora.

Objective To set up a living mice colonoscopy platform to establish an orthotopic model of colorectal cancer in mice under direct vision,and to observe its biological behavior such as metastasis.Methods Eighteen-week-old male C57/BL mice were anesthetized,and the intestinal lumen of the mice was examined by a self-developed living mice colonoscopy and Olympus URF-P5 ureteroscopy,respectively.The imaging effects of the two methods were compared.Human colon cancer HT-29 cells were injected into the colonic mucosa of BALB/c-nu mice under direct vision.The colonoscopy was performed on the 3rd,7th and 15th day after the injection to observe the tumor formation in the intestinal lumen.The mice were sacrificed when the body weight decreased significantly or cachexia appeared,and then the abdominal cavity was examined including the tumor formation and metastasis.Results The self-developed living mice colonoscopy platform can provide clear vision of enteric cavity,and no mice died in the colonoscopy examination.In vivo subcutaneous injection of HT-29 cells in mice was performed with a perforation rate of 15％,a mortality rate of 33.3％,a tumor formation rate of 62.5％,an abdominal metastasis rate of 60％,a liver metastasis rate of 25％,and an abdominal wall transfer rate of 25％.Conclusion The self-developed mice colonoscopy platform can be used for the study of colorectum in living mice.The imaging effect is no less than that of Olympus URF-P5 ureteroscopy.In addition,an orthotopic colorectal cancer model can be established by this platform combing with submucosal injection technology.

In order to screen antigenic genes of Clonorchis sinensis (C.sinensis).Firstly,a cDNA expression library from adult worms of C.sinensis was successfully constructed with lambda ZAP express vector.Total RNA of C.sinensis adult worms were extracted by the Trizol reagent and mRNA were further purified through oligo-dT cellulose.The first strand eDNA was synthesized by using MMLV reverse transcriptase.After the synthesis of the second strand,the cDNA were purified by CHROMA SPIN-400 kit and then ligated with lambda ZAP express vector,then packaged in vitro and amplified.The original library contained 1.5 × 106 pfu cDNA clones,the titer of amplified library reached 1.5 × 1010 pfu/mL,in which about 99% clones were recombinants and most of insert DNA fragments were 0.4-2.0 kb.Secondly,immunoscreened using the naturely infected man serum from C.sinensis.The positive clones were sequenced and analyzed.From 2.0 × 105 recombinant clones of the eDNA library,41 positive clones were obtained.Sequence analysis indicated that the cDNAs encoded proteins including glycine rich antigen 2,proline rich antigen 2 and antigen Cs44 from C.sinensis,anothers were lower similarity to predicted protein from Nematostella vectensis,transcription elongation factor GreA from Bartonella quintana str.Toulouse and NM_132090 CG3446 gene product in Drosophila melanogaster from Schistosoma japonicum.These data may form a foundation for identifying recombinant antigens that can be used in the diagnosis or vaccination against clonorchiasis.