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 small-molecule alkaloid halofuginone (HF) is obtained from febrifugine. Recent studies on HF have aroused widespread attention owing to its universal range of noteworthy biological activities and therapeutic functions, which range from parasite infections and fibrosis to autoimmune diseases. In particular, HF is believed to play an excellent anticancer role by suppressing the proliferation, adhesion, metastasis, and invasion of cancers. This review supports the goal of demonstrating various anticancer effects and molecular mechanisms of HF. In the studies covered in this review, the anticancer molecular mechanisms of HF mainly included transforming growth factor-β (TGF-β)/Smad-3/nuclear factor erythroid 2-related factor 2 (Nrf2), serine/threonine kinase proteins (Akt)/mechanistic target of rapamycin complex 1(mTORC1)/wingless/integrated (Wnt)/β-catenin, the exosomal microRNA-31 (miR-31)/histone deacetylase 2 (HDAC2) signaling pathway, and the interaction of the extracellular matrix (ECM) and immune cells. Notably, HF, as a novel type of adenosine triphosphate (ATP)-dependent inhibitor that is often combined with prolyl transfer RNA synthetase (ProRS) and amino acid starvation therapy (AAS) to suppress the formation of ribosome, further exerts a significant effect on the tumor microenvironment (TME). Additionally, the combination of HF with other drugs or therapies obtained universal attention. Our results showed that HF has significant potential for clinical cancer treatment.

Recent years have witnessed significant advances in the development of novel techniques and methodologies for identifying active ingredients in traditional Chinese medicine (TCM), substantially advancing research and development efforts. Spectrum-effect correlation analysis, affinity ultrafiltration, high-content screening (HCS) imaging, and cell membrane chromatography (CMC) have emerged as essential tools, effectively linking TCM chemical constituents to their biological effects, thereby enabling efficient active ingredient screening. Additionally, molecular interaction analysis provides deeper insights into TCM-biomolecule interaction mechanisms, enhancing understanding of its therapeutic potential. Computer-aided techniques facilitate TCM active ingredient identification, optimizing the screening process for efficiency and cost-effectiveness. Molecular probe technology, as an emerging methodology, enables precise and rapid screening for novel therapeutic drug discovery. Ongoing technological advancement in this field indicates promising future developments, potentially leading to more effective and targeted TCM-based therapies.
Drugs, Chinese Herbal/chemistry* ; Medicine, Chinese Traditional/methods* ; Humans ; Drug Discovery/methods* ; Animals

ObjectiveTo explore the safety and efficacy of robot-assisted minimally invasive esophagectomy （robot-assisted minimally invasive esophagectomy， RAMIE） and thoracic laparoscopy combined with minimally invasive esophageal resection （minimal invasive esophagectomy， MIE）. MethodsThe data of 188 patients treated with Da Vinci robot assisted minimally invasive esophageal resection （RAMIE） from April 2021 to December 2022 were analyzed. In the RAMIE group， 69 patients， 49 males and 20 female， age （67.2 ± 7.2）； 119 in the MIME group， respectively， 89 males and 30 female， age （69.1 ± 7.0）. At 1 ∶ 1， including 58 patients in the RAMIE group and 58 patients in the MIE group. The t-test， Wilcoxon rank-sum test， χ² test， and so on. ResultsAfter PSM treatment， the clinical data between the two groups. There was no significant difference in operation time， postoperative tube days， and total number of lymph node dissection between the RAMIE and MIE groups （P <0.05）； the RAMIE group was better in terms of intraoperative bleeding and the MIE group， statistically significant （P <0.05）； the MIE group was better in drainage flow and lymph node dissection for three days （P <0.05）. In terms of postoperative complications， there was no statistical difference between RAMIE and MIE groups （P>0.05）. ConclusionThe recent efficacy of robot-assisted minimally invasive esophagectomy is comparable to that of thoracic laparoscopy and minimally invasive Mckeown esophagectomy； robotic-assisted minimally invasive esophagectomy can reduce intraoperative bleeding and have more advantages in left recurrent laryngeal nerve lymph node dissection.

In the past decades, significant progress has been achived in cartilage regeneration. The traditional techniques for constructing tissue engineering cartilage scaffold mainly include pore agent method (or template method), phase separation method, gas foaming method, freeze-drying method, electrospinning method, etc. Cartilage is heterogeneous, and it is difficult for traditional scaffolds to simulate the high anisotropy of cartilage. Therefore, functional regeneration of cartilage is challenging. With the progress of three-dimensional(3D) printing technology, it is possible to prepare functional bionic scaffolds with fine structure and gradient changes through co-deposition of biomaterials, cells and active biomolecules, so as to achieve functional cartilage regeneration. This article reviewed 3D printing technology of cartilage tissue engineering, and the application of 3D printing technology in cartilage regeneration at different anatomical positions (articular cartilage, auricle cartilage, nasal cartilage). In addition, the importance of preparing bionic constructs with regional structure gradient and regional composition gradient was discussed. 3D bioprinting technology, 4D printing techniques, smart biomaterials brought hope for the construction of bionic tissues and organs.

In the past decades, significant progress has been achived in cartilage regeneration. The traditional techniques for constructing tissue engineering cartilage scaffold mainly include pore agent method (or template method), phase separation method, gas foaming method, freeze-drying method, electrospinning method, etc. Cartilage is heterogeneous, and it is difficult for traditional scaffolds to simulate the high anisotropy of cartilage. Therefore, functional regeneration of cartilage is challenging. With the progress of three-dimensional(3D) printing technology, it is possible to prepare functional bionic scaffolds with fine structure and gradient changes through co-deposition of biomaterials, cells and active biomolecules, so as to achieve functional cartilage regeneration. This article reviewed 3D printing technology of cartilage tissue engineering, and the application of 3D printing technology in cartilage regeneration at different anatomical positions (articular cartilage, auricle cartilage, nasal cartilage). In addition, the importance of preparing bionic constructs with regional structure gradient and regional composition gradient was discussed. 3D bioprinting technology, 4D printing techniques, smart biomaterials brought hope for the construction of bionic tissues and organs.

In the past decades, great progress has been made in cartilage regeneration. The traditional techniques for constructing tissue engineering cartilage scaffold mainly include pore agent method (or template method ) , phase separation method, gas foaming method, freeze-drying method , electrospinning method, etc. Cartilage is heterogeneous, and it is difficult for traditional scaffolds to simulate the high anisotropy of cartilage. Therefore, functional regeneration of cartilage is challenging. With the progress of three-dimensional (3D) printing technology, it is possible to prepare functional bionic scaffolds with fine structure and gradient changes through co deposition of biomaterials, cells and active biomolecules, so as to achieve functional cartilage regeneration. This article reviews 3D printing technology of cartilage tissue engineering, and the application of 3D printing technology in cartilage regeneration at different anatomical positions (articular cartilage, auricle cartilage, nasal cartilage) . In addition, the importance of preparing bionic constructs with regional structure gradient and regional composition gradient was discussed. 3D bioprinting technology, 4 D printing techniques, smart biomaterials brought hope for the construction of bionic tissues and organs.

In the past decades, great progress has been made in cartilage regeneration. The traditional techniques for constructing tissue engineering cartilage scaffold mainly include pore agent method (or template method ) , phase separation method, gas foaming method, freeze-drying method , electrospinning method, etc. Cartilage is heterogeneous, and it is difficult for traditional scaffolds to simulate the high anisotropy of cartilage. Therefore, functional regeneration of cartilage is challenging. With the progress of three-dimensional (3D) printing technology, it is possible to prepare functional bionic scaffolds with fine structure and gradient changes through co deposition of biomaterials, cells and active biomolecules, so as to achieve functional cartilage regeneration. This article reviews 3D printing technology of cartilage tissue engineering, and the application of 3D printing technology in cartilage regeneration at different anatomical positions (articular cartilage, auricle cartilage, nasal cartilage) . In addition, the importance of preparing bionic constructs with regional structure gradient and regional composition gradient was discussed. 3D bioprinting technology, 4 D printing techniques, smart biomaterials brought hope for the construction of bionic tissues and organs.

Objective:To investigate the effect and relationship of coronary microvascular dysfunction (CMD) on cardiac mechanical indices in patients with non-obstructive coronary artery disease(NOCAD) in the resting state.Methods:This study was a single-center retrospective study. Seventy-nine NOCAD patients who hospitalized in Qilu Hospital of Shandong University from July 2017 to March 2022 were recruited. All patients underwent conventional echocardiography examination and the examination of coronary flow velocity reserved by transthoracic Doppler echocardiography (TTDE-CFVR). Based on the results of TTDE-CFVR, patients were divided into CMD group (CFVR<2.5, 32 cases) and a control group (CFVR≥2.5, 47 cases). Clinical data, routine echocardiographic parameters, regional mechanical indices including regional myocardial work index(RWI) and regional longitudinal strain(RLS), global mechanical indices including left ventricular global longitudinal strain(GLS), global longitudinal strain in the endocardial layer(GLS-endo), global longitudinal strain in the epicardial layer(GLS-epi), left ventricular global work index(GWI), global contractive work(GCW), global waste work(GWW), global work efficiency(GWE) were compared between two groups. Binary logistic regression was used to analyze the risk factors of CMD. ROC curve was used to construct a prediction model for CMD.Results:There was no significant difference in sex ratio, BMI, smoking history, diabetes, hypertension and dyslipidemia between CMD group and control group. Age was significantly higher in the CMD group than in the control group. RWI, GWI, GCW, GWE and the absolute values of RLS, GLS, GLS-endo and GLS-epi were significantly lower in the CMD group than in the control group. Logistic regression analysis showed that the decrease of absolute value of GLS was an independent risk factor for the CMD( OR=1.335, 95% CI=1.041-1.713, P=0.023). ROC curve showed that myocardial strain-related indexes had a good decrease value for the CMD. Conclusions:For patients with NOCAD, the presence of CMD is associated with the decrease of left ventricular regional and global systolic function.