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

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

Motion sickness is a series of physiological responses in human being caused by abnormal movement stimulation. With the development of science and technology, a growing number of people choose to travel by high speed vehicles. Motion sickness happens more frequently. A large number of non-drug and drug intervention methods have been reported in the treatment of motion sickness. This article provides an overview on the research developments in the prevention and treatment of motion sickness in order to provide new ideas for drug research.

The blepharoplasty with incision have been widely used. The main difference of many specific surgical methods is that different suture methods between those tissues of upper eyelid can produce different aesthetic effect. This review summerized the different suture methods of incisional blepharoplasty for connection, such as skin, orbicularis oculi, tarsal plate, orbital septum and levator aponeurosis. The advantages and disadvantages were also reviewed in order to provide reference for clinical work and enhence the understanding of the incisional blepharoplasty.

The blepharoplasty with incision have been widely used. The main difference of many specific surgical methods is that different suture methods between those tissues of upper eyelid can produce different aesthetic effect. This review summerized the different suture methods of incisional blepharoplasty for connection, such as skin, orbicularis oculi, tarsal plate, orbital septum and levator aponeurosis. The advantages and disadvantages were also reviewed in order to provide reference for clinical work and enhence the understanding of the incisional blepharoplasty.

Objective:To investigate the influence of cognitive-behavior therapy on the psychological status of family members of terminal cancer patients. Method:A total of 60 families of terminal cancer patients were selected and randomly divided into observation group (30 cases) and control group (30 cases). The observation group was treated with cognitive-behavior therapy, while the control group was given general supportive psychological care. The Hamilton Depression Scale ( HAMD) , Hamilton Anxiety Scale ( HAMA) and Pittsburgh Sleep Quality Index ( PSQL) were used to evaluate the family members of the two groups of patients before and after the intervention. Results: Before the intervention, there was no statistical significance difference in the scores of HAMA, HAMD and PSQI between the two groups (P>0. 05). After the intervention, the scores of HAMA, HAMD and PSQI in the observation group were significantly lower than those before the intervention ( P <0 . 05 ); and the scores of HAMA, HAMD and PSQI in the observation group were significantly lower than those in the control group ( P<0 . 05 ) . Conclusion:Cognitive-behavior therapy can significantly improve the negative emotions of depression, anxiety and sleep disorder among family members of terminal tumor patients.