From the natural-philosophical model of medicine in ancient Greece to the modern bio-psycho-social par-adigm,the evolution of medical models has always been shaped by philosophy.In classical antiquity,medicine and philosophy were closely intertwined;the natural-philosophical model,exemplified by Hippocrates,emphasized the human body as an integrated whole.During the Renaissance,the rise of experimental science challenged traditional philosophical systems and pushed medicine toward empirical investigation.In the late twentieth century,the bio-psycho-social model emerged to address the limitations of the purely biomedical approach.In the twenty-first centu-ry,the advent of artificial intelligence is driving a new transformation in medicine and continually prompting reflec-tion on the future direction of medical models and their underlying philosophical significance.

Objective:To evaluate the safety of neoadjuvant therapy with pembrolizumab combined with 5-fluorouracil (5-FU) and cisplatin in patients with advanced temporal bone squamous cell carcinoma (TBSCC), and its impact on tumor response rate and disease-free survival (DFS).Methods:This prospective, single-arm, open-label clinical study enrolled patients with advanced (Stage Ⅲ/Ⅳ) TBSCC from Sun Yat-sen Memorial Hospital. Patients received 2-3 cycles of neoadjuvant therapy with pembrolizumab, 5-FU, and cisplatin, followed by definitive surgery. Postoperatively, patients received 6 cycles of pembrolizumab combined with radiotherapy. The primary endpoint was the 2-year disease-free survival (DFS) rate. Secondary endpoints included objective response rate (ORR) and safety indicators. Survival analysis was performed using the Kaplan-Meier method. Adverse events (AE) were assessed using the National Cancer Institute′s Common Terminology Criteria for Adverse Events (CTCAE), version 5.0. Statistical analyses were conducted using SPSS software, version 22.0.Results:From August 2021 to April 2024, 16 patients with advanced TBSCC were enrolled (13 males and 3 females), with a median age of 54 years and a median follow-up time of 2.32 years. Following neoadjuvant therapy, the objective response rate (ORR) was 64.3% (9/14), and the disease control rate (DCR) was 92.9% (13/14). The 2-year DFS rate was 86.6%. Common treatment-related adverse events (TRAE) included leukopenia (56.3%, 9/16), nausea and vomiting (50.0%, 8/16), diarrhea, oral mucositis, and elevated liver function tests (25.0%, 4/16). One patient (6.25%) experienced a grade 3 adverse event.Conclusion:Neoadjuvant pembrolizumab-chemotherapy significantly enhances objective response rate and disease-free survival in advanced TBSCC.

Oral solid dosage forms require processes such as disintegration and dissolution to release the drug before it can be absorbed and utilized by the body. In this manuscript, imaging technology was used to continuously visualize and characterize the in vitro static drug release process of gliclazide modified release tablets from 15 manufacturers, combined with the traditional method of in vitro dissolution testing, to determine the release profile of gliclazide modified release tablets, to evaluate the similarity of the release profiles by using the similarity factor (f₂) method and based on the analysis of the release profiles fitted with a variety of mathematical models. The results indicate that the gliclazide modified release tablets produced by 14 companies are hydrophilic gel matrix tablets. Compared to the reference listed drug, the release profiles of formulations from 11 companies show high similarity (f₂ > 50) to the reference. Among these, formulations with visual characteristics similar to the reference exhibit similar release curves. This study provides an alternative method for the in vitro consistency evaluation of gliclazide modified release tablets, aiming to assess the in vitro release behaviour of generic formulations more accurately and comprehensively.

Objective To analyse the clinical efficiency of endolymphatic sac surgery (ESS) in the management of Meniere’s disease (MD). Methods A retrospective analysis was conducted on 274 patients with MD who were hospitalized for treatment in Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University from January 2009 to August 2023. All patients received lifestyle management and drug treatment such as diuretics. For those whose conditions were not well controlled 3 to 6 months after the initial treatment, intratympanic glucocorticoid (ITG) or ESS treatment was carried out. Six months after the treatment, the classes of vertigo relief and hearing changes in the patients were evaluated. After adjusting the confounding factors through propensity score matching (PSM), the impact of ESS on the prognosis of MD patients was evaluated. Results Among 274 patients, 194 and 80 patients underwent ITG and ESS, respectively. Eighty patients were enrolled into each group after PSM. Before and after PSM, the rate of patients reaching vertigo relief class A in ESS group was higher than that in the ITG group (P＝0.004); there was no significant difference in hearing preservation between the two groups. Kaplan-Meier curve analysis showed that vertigo relief in the ESS group was better than that in the ITG group (P=0.029); there was no statistically significant difference in hearing preservation between the two groups. Conclusion When the initial treatment for patients with MD is ineffective, choosing ESS is more beneficial than ITG for controlling vertigo.

Objective To study the damage effect of high-voltage electric shock on skin based on metabolomics,analyze its metabolic differences,and explore its injury mechanism.Methods A total of 16 SPF C57BL/6J male mice were divided into the electric shock group(head skin received electric shock treatment)and control group(head skin received electric shock acoustic-optical stimulation),and the skin appearance after treatment of mice in the two groups was observed.The histopathological changes caused by electric shock were analyzed by HE staining,EVG staining and Masson staining.GC-MS and LC-MS metabonomics were used to analyze the changes of skin metabolism spectrum and tissue metabolites after electric shock exposure,and the differential metabolites were analyzed.The obtained differential metabolites were combined and KEGG enrichment analysis was conducted.Results After high-voltage electric shock,the skin of mice could be damaged to the dermis,and the epidermis was partially thickened,lifted and separated.The structure of skin appendages in the dermis was destroyed,with a large number of inflammatory cells infiltrating and obvious swelling,accompanied by congestion,which led to severe skin inflammatory reaction and impaired skin barrier function.Metabonomics analysis suggested that the metabolites changed after electric shock exposure.KEGG enrichment analysis showed that electric shock significantly affected the central carbon metabolism pathway of cancer,pentose phosphate pathway,purine metabolism,glycine,serine and threonine metabolism processes,amino acid tRNA biosynthesis mechanism,glycerophospholipid metabolism pathway,pyrimidine metabolism pattern,glycolysis/gluconeogenesis,alanine metabolism process,glucagon signal pathway and so on.Conclusion High voltage electric shock can cause deep skin damage,disturb its energy metabolism and amino acid metabolism,and seriously interfere with its antioxidant and DNA repair system functions.

Objective To study the damage effect of high-voltage electric shock on skin based on metabolomics,analyze its metabolic differences,and explore its injury mechanism.Methods A total of 16 SPF C57BL/6J male mice were divided into the electric shock group(head skin received electric shock treatment)and control group(head skin received electric shock acoustic-optical stimulation),and the skin appearance after treatment of mice in the two groups was observed.The histopathological changes caused by electric shock were analyzed by HE staining,EVG staining and Masson staining.GC-MS and LC-MS metabonomics were used to analyze the changes of skin metabolism spectrum and tissue metabolites after electric shock exposure,and the differential metabolites were analyzed.The obtained differential metabolites were combined and KEGG enrichment analysis was conducted.Results After high-voltage electric shock,the skin of mice could be damaged to the dermis,and the epidermis was partially thickened,lifted and separated.The structure of skin appendages in the dermis was destroyed,with a large number of inflammatory cells infiltrating and obvious swelling,accompanied by congestion,which led to severe skin inflammatory reaction and impaired skin barrier function.Metabonomics analysis suggested that the metabolites changed after electric shock exposure.KEGG enrichment analysis showed that electric shock significantly affected the central carbon metabolism pathway of cancer,pentose phosphate pathway,purine metabolism,glycine,serine and threonine metabolism processes,amino acid tRNA biosynthesis mechanism,glycerophospholipid metabolism pathway,pyrimidine metabolism pattern,glycolysis/gluconeogenesis,alanine metabolism process,glucagon signal pathway and so on.Conclusion High voltage electric shock can cause deep skin damage,disturb its energy metabolism and amino acid metabolism,and seriously interfere with its antioxidant and DNA repair system functions.

Blonanserin,a second-generation atypical antipsychotic agent,acts as an antagonist for dopamine D2,D3,and serotonin 5-HT2A receptors.Clinical studies have demonstrated that blonanserin is non-inferior to other antipsychotics,such as haloperidol and risperidone,in alleviating the symptoms of schizophrenia.Moreover,it exhib-its beneficial effects on cognitive symptoms and social functioning,with a favorable safety profile,making it one of the key treatment options for schizophrenia.With extensive clinical experience accumulated in China,this expert consensus aims to provide psychiatrists with updated and localized guidance on the optimal use of blonan-serin.Based on a systematic review of the latest evidence-particularly studies in Chinese population,this paper pres-ents the updated Chinese expert recommendations for the clinical use of blonanserin in 2024.

Blonanserin,a second-generation atypical antipsychotic agent,acts as an antagonist for dopamine D2,D3,and serotonin 5-HT2A receptors.Clinical studies have demonstrated that blonanserin is non-inferior to other antipsychotics,such as haloperidol and risperidone,in alleviating the symptoms of schizophrenia.Moreover,it exhib-its beneficial effects on cognitive symptoms and social functioning,with a favorable safety profile,making it one of the key treatment options for schizophrenia.With extensive clinical experience accumulated in China,this expert consensus aims to provide psychiatrists with updated and localized guidance on the optimal use of blonan-serin.Based on a systematic review of the latest evidence-particularly studies in Chinese population,this paper pres-ents the updated Chinese expert recommendations for the clinical use of blonanserin in 2024.

Objective:To evaluate the safety of neoadjuvant therapy with pembrolizumab combined with 5-fluorouracil (5-FU) and cisplatin in patients with advanced temporal bone squamous cell carcinoma (TBSCC), and its impact on tumor response rate and disease-free survival (DFS).Methods:This prospective, single-arm, open-label clinical study enrolled patients with advanced (Stage Ⅲ/Ⅳ) TBSCC from Sun Yat-sen Memorial Hospital. Patients received 2-3 cycles of neoadjuvant therapy with pembrolizumab, 5-FU, and cisplatin, followed by definitive surgery. Postoperatively, patients received 6 cycles of pembrolizumab combined with radiotherapy. The primary endpoint was the 2-year disease-free survival (DFS) rate. Secondary endpoints included objective response rate (ORR) and safety indicators. Survival analysis was performed using the Kaplan-Meier method. Adverse events (AE) were assessed using the National Cancer Institute′s Common Terminology Criteria for Adverse Events (CTCAE), version 5.0. Statistical analyses were conducted using SPSS software, version 22.0.Results:From August 2021 to April 2024, 16 patients with advanced TBSCC were enrolled (13 males and 3 females), with a median age of 54 years and a median follow-up time of 2.32 years. Following neoadjuvant therapy, the objective response rate (ORR) was 64.3% (9/14), and the disease control rate (DCR) was 92.9% (13/14). The 2-year DFS rate was 86.6%. Common treatment-related adverse events (TRAE) included leukopenia (56.3%, 9/16), nausea and vomiting (50.0%, 8/16), diarrhea, oral mucositis, and elevated liver function tests (25.0%, 4/16). One patient (6.25%) experienced a grade 3 adverse event.Conclusion:Neoadjuvant pembrolizumab-chemotherapy significantly enhances objective response rate and disease-free survival in advanced TBSCC.

Near infrared spectroscopy(NIRS)technology combined with chemometrics algorithms has been widely used in quantitative and qualitative analysis of food and medicine.However,traditional chemometrics methods,especially linear classification methods,often yield unsatisfactory results when addressing multi-class classification problems.Convolutional neural network(CNN)is adept at extracting deep-level features from data and suitable for handling non-linear relationships.The modeling performance of CNN depends on the size and diversity of sample,while the collection and preprocessing of NIRS sample data is often time-consuming and labor-intensive.This study proposed a NIRS qualitative analysis method based on data augmentation strategies and CNN.The data augmentation strategy included two steps.Firstly,applying Bootstrap resampling and generative adversarial network(GAN)methods to augment three NIRS datasets(Medicine,coffee and grape).Secondly,combining the original samples(Y)with the Bootstrap augmented samples(B)and GAN augmented samples(G)to obtain three augmented datasets(Y-B,Y-G and Y-B-G).Based on this,a CNN model structure suitable for these datasets was designed,consisting of 2 one-dimensional convolutional layers,1 max-pooling layer,and 1 fully connected layer.The results showed that compared to the optimal models of partial least squares discriminant analysis(PLS-DA),support vector machine(SVM),and back propagation neural network(BP),the CNN model based on Y-B dataset achieved average accuracy improvements of 3.998%,9.364%,and 4.689%for medicine(Binary classification);the CNN model based on the Y-B-G dataset achieved average accuracy improvements of 6.001%,2.004%,and 7.523%for coffee(7-class classification);and the CNN model based on the Y-B dataset achieved average accuracy improvements of 33.408%,51.994%,and 34.378%for grapes(20-class classification).It was evident that the models established based on data augmentation strategies and CNN demonstrated better classification accuracy and generalization performance with different datasets and classification categories.