ObjectiveBiochemistry and Molecular Biology, a discipline that elucidates life phenomena at the molecular level, serves as a core foundational course in medical education. It provides the theoretical basis for studying other basic and clinical medical subjects, as well as for understanding pathogenesis, disease diagnosis, and treatment. However, its complex content and highly abstract concepts have posed a dual challenge to traditional teaching models: “inefficient instruction” and “inadequate learning outcomes”. Within limited classroom hours, how to engage students and stimulate their intrinsic motivation, and how to help them recognize, understand, and develop a passion for biochemistry from the perspective of the discipline’s essence, have long been key focuses of curriculum research. MethodsUsing the lipid metabolism chapter as an example, this study employs “Rain Classroom”, a generative artificial intelligence (AI)-assisted platform, to support education in four dimensions: teaching, learning, evaluation, and research. In teaching, it assists instructors through virtual experiments, lesson preparation support, knowledge mapping, and assignment design. For learning, it serves as an intelligent study assistant for students, providing automated assignment review, enabling educational resource sharing, and facilitating personalized learning pathways. In evaluation, the platform automates assignment grading, analyzes student performance data, and offers diagnostic feedback and teaching recommendations. In research, it aids educators in collecting and analyzing teaching data, as well as searching for and summarizing relevant literature. ResultsThe results indicate that an educational model integrating teacher-led instruction, student-centered learning, and generative AI assistance significantly enhances teaching quality, students’ self-directed learning abilities, and knowledge mastery. Furthermore, with the support of generative AI, curriculum-based ideological education—focusing on cutting-edge disciplinary advances and topical medical issues—helps cultivate students’ medical spirit of “honoring life and healing the wounded”, thereby fostering the establishment of appropriate professional values. Finally, while generative AI presents both opportunities and challenges for higher education, this study also analyzes potential risks in its teaching applications, emphasizing the need for both instructors and students to avoid over-reliance and to ensure that technological tools consistently serve the fundamental goals of education. ConclusionThis study demonstrates that integrating generative AI, specifically via the “Rain Classroom” platform, can effectively enhance biochemistry education. By supporting teaching, learning, evaluation, and research, this approach improves both educational effectiveness and student outcomes. It also facilitates the incorporation of cutting-edge knowledge and professional ethics, nurturing a patient-centered mindset. Additionally, the study addresses potential implementation risks to ensure that such technological tools remain aligned with the core purpose of education.

It is very limited that the benefit of perioperative chemotherapy in early non-small cell lung cancer (NSCLC), and the 5-year survival rate is only 5% higher than surgery. Antibodies that block programmed cell death protein 1/programmed death-ligand 1 significantly improve the survival of advanced NSCLC. The value of immunotherapy in early NSCLC is also being explored. This paper firstly summarized and analyzed the progress of immunotherapy in the perioperative period of NSCLC. Secondly, the safety and feasibility of surgical resection after neoadjuvant immunotherapy were discussed. Finally, the clinical value of different therapeutic efficacy prediction indicators was summarized, in order to clarify the current status of immunotherapy in the perioperative period, so as to improve the clinical benefits of early NSCLC patients.

Lung cancer is a leading cause of cancer-related morbidity and mortality worldwide. Coupled with the substantial workload, the clinical management of lung cancer is challenged by the critical need to efficiently and accurately process increasingly complex medical information. In recent years, large language models (LLMs) technology has undergone explosive development, demonstrating unique advantages in handling complex medical data by leveraging its powerful natural language processing capabilities, and its application value in the field of lung cancer diagnosis and treatment is continuously increasing. The paper systematically analyzes that the exceptional potential of LLMs in lung cancer auxiliary diagnosis, tumor feature extraction, automatic staging, progression/outcome analysis, treatment recommendations, medical documentation generation, and patient education. However, they face critical technical and ethical challenges including inconsistent performance in complex integrated decision-making (e.g., TNM staging, personalized treatment suggestions) and "black box" opacity issues, along with dilemmas such as training data biases, model hallucinations, data privacy concerns, and cross-lingual adaptation challenges ("data colonization"). Future directions should prioritize constructing high-quality multimodal corpora specific to lung cancer, developing interpretable and compliant specialized models, and achieving seamless integration with existing clinical workflows. Through dual drivers of technological innovation and ethical standardization, LLMs should be prudently advanced for holistic lung cancer management processes, ultimately promoting efficient, standardized, and personalized diagnosis and treatment practices.

Objective: To analyze the school tuberculosis (TB) outbreaks and preventive treatment in Hefei from 2022 to 2024, so as to provide reference for TB prevention and control in schools. Methods: Data were collected on all school based TB outbreaks occurring during 2022-2024 in Hefei, defined as ≥2 epidemiologically linked TB cases within the same school during a single semester. Statistical analyses were performed using the Chi square test. Results: Close contacts exhibited significantly higher TB incidence (2.88%) and latent mycobacterium tuberculosis infection (LTBI) rates (13.80%) in the school TB outbreaks, compared to non close contacts (0.12% and 2.63%, respectively). Among close contacts, secondary school students showed lower TB incidence (0.48%) and LTBI prevalence (3.42%) than both primary school or younger children (0.68%, 6.95%) and college students ( 0.78% , 6.50%), with statistically significant differences ( χ 2=360.91, 6.37; 791.71, 102.03, all P <0.05). The proportion of LTBI individuals recommended for preventive therapy was higher in primary school or younger groups (98.59%) than in secondary (95.25%) or college students (86.34%) ( χ 2=25.86, P <0.01). However, among those recommended, close contacts had higher uptake (85.82%) and completion rates (87.25%) of preventive therapy than non close contacts (69.63% and 70.57%); similarly, secondary school students demonstrated higher uptake (91.21%) and completion rates (86.45%) compared to primary school or younger (88.57%, 83.87%) and college students (57.28%, 64.08%) ( χ 2=30.52, 26.72; 125.17, 38.84, all P <0.01). Subsequent TB incidence among LTBI close contacts (13.30%) and among those who did not complete preventive therapy (22.73%) were significantly higher than among non close contacts (2.80%, 2.41%), respectively ( χ 2=32.19, 13.87, both P <0.05). Conclusions In school TB outbreaks, close contacts face higher LTBI prevalence and subsequent TB risk than non close contacts. College students show notably low adherence to preventive therapy. It is necessary to take targeted measures to improve the compliance of preventive measures among students.

ObjectiveTo analyze the epidemiological characteristics of 8 major respiratory pathogens in influenza-like illness (ILI) cases with acute respiratory infections at fever clinics in Huangpu District, Shanghai from 2015 to 2024, and to provide a scientific basis for the prevention and treatment of respiratory diseases. MethodsA retrospective study was conducted in Huangpu District. Individuals meeting the case definition of ILI from 2015 to 2024 was registered. Their nasopharyngeal swabs were collected for pathogen detection. A total of 8 respiratory viruses were tested, including Influenza A virus (Flu A), Influenza B virus (Flu B), adenovirus (ADV), enterovirus/human rhinovirus (EV/HRV), human parainfluenza virus (HPIV), human coronavirus (HCoV), respiratory syncytial virus (RSV), and human metapneumovirus (HMPV). ResultsFrom 2015 to 2019, a total of 344 ILI cases were tested, of which 192 out of 344 cases (55.81%) were tested positive for single respiratory pathogen. From 2023 to 2024, 1 557 ILI cases were tested, with 572 out of 1 557 cases (36.74%) being positive for single pathogen. From 2023 to 2024, the positive rate of single pathogen in ILI cases was significantly lower than that in 2015‒2019 (χ²=42.66, P<0.001). Specifically, the positive rate of Flu A (χ²=74.43, P<0.001) decreased, while that of HPIV (χ²=8.66, P=0.003) increased, both with statistically significant differences. According to the seasonal pattern, the epidemic intensity of Flu A decreased in summer, while that of HPIV increased in summer and autumn. Demographic results showed statistically significant differences in the positive rates of EV/HRV between genders (χ²=22.38, P<0.001), with males exhibiting a higher positive rate than females. No statistically significant differences were identified in the positive rates of single pathogen among different age groups (χ²=4.42, P=0.110). Nevertheless, statistically significant differences were noted when comparing the positive rates of EV/HRV, Flu A, Flu B and HPIV across different age groups (P<0.05). EV/HRV was more commonly detected in the 15‒<25 age group (10.93%), while Flu A and HPIV had the highest positive rates in the ≥60 age group (21.24% and 4.77%). Flu B had the highest positive rate in the 25‒<60 age group (11.26%). 52.63% of cases with co-infections occurred during winter, with the primary pathogens involved being EV/HRV (9 cases) and HCoV (6 cases). The most prevalent combination of co-infection was Flu A with EV/HRV. ConclusionThe prevalence of respiratory pathogens among ILI cases from 2023 to 2024 exhibited notable fluctuations compared to that from 2015 to 2019. Therefore, influenza surveillance should be strengthened, and attention should also be paid to the prevalence of respiratory pathogens such as HPIV. These findings have profound implications for future research, surveillance, vaccine planning, and public health policy making.

Childhood simple obesity has become a significant public health issue in China. Modern medicine primarily relies on lifestyle interventions and often suffers from poor long-term compliance， while pharmacological options are limited and associated with potential adverse effects. Traditional Chinese Medicine （TCM） has a long history in the prevention and management of this condition， demonstrating eight distinct advantages， including systematic theoretical foundation， diversified therapeutic approaches， definite therapeutic efficacy， high safety profile， good patient compliance， comprehensive intervention strategies， emphasis on prevention， and stepwise treatment protocols. Additionally， TCM is characterized by six distinctive features： the use of natural medicinal substances， non-invasive external therapies， integration of medicinal dietetics， simple exercise regimens， precise syndrome differentiation， and diverse dosage forms. By combining internal and external treatments， TCM facilitates individualized regimen adjustment and holistic regulation， demonstrating remarkable effects in improving obesity-related metabolic indicators， regulating constitutional imbalance， and promoting healthy behaviors. However， challenges remain， such as inconsistent operational standards， insufficient high-quality clinical evidence， and a gap between basic research and clinical application. Future efforts should focus on accelerating the standardization of TCM diagnosis and treatment， conducting multicenter randomized controlled trials， and fostering interdisciplinary integration， so as to enhance the scientific validity and international recognition of TCM in the prevention and treatment of childhood obesity.

OBJECTIVE:Some studies have shown that physical exercise can effectively improve knee extensor strength and cardiorespiratory function in burn patients;some studies have also shown that physical exercise is not effective in improving respiratory function in burn patients.Improvement effects of physical exercise on physical functions(muscle function,walking function,cardiopulmonary function,and lean body mass)of burn patients were evaluated by a systematic evaluation and meta-analysis.METHODS:Based on databases including Web of Science,PubMed,Embase,Cochrane Library,CNKI,WanFang,and the Chinese Biomedical Database,literature on the improvement of physical function in burn patients through physical exercise was searched using subject headings and free terms.With muscle function,walking ability,cardiopulmonary function,and lean body mass as the primary outcome measures,a meta-analysis was conducted to compare the efficacy of physical exercise with traditional physical therapy or conventional care methods.RESULTS:A total of 38 papers were included,of which 26 papers were included in the meta-analysis,involving 1 658 patients.Meta-analysis results showed that:(1)Physical exercise significantly enhances the knee extensor strength of the dominant leg in burn patients(mean difference[MD]=8.34,95％confidence interval[CI]:6.95-9.72,P＜0.000 01),increases quadriceps strength,peak oxygen uptake,forced vital capacity and maximum ventilation volume in 1 second,and resting heart rate(standardized mean difference[SMD]=4.41,95％CI:2.52-6.30,P＜0.000 01;MD=4.91,95％CI:3.52-6.29,P＜0.000 01;MD=5.86,95％CI:0.09-11.63,P=0.05;MD=6.90,95％CI:2.93-10.87,P=0.000 7;MD=5.03,95％CI:1.45-8.61,P=0.006),and improves the 6-minute walking distance,gait parameters,and total lean body mass(MD=45.29,95％CI:24.7-65.89,P＜0.0001;SMD=7.84,95％CI:6.05-9.63,P＜0.000 01;MD=2.47,95％CI:2.01-2.93,P＜0.000 01).(2)The subgroup analysis results indicated that the improvement in knee extensor strength of the dominant leg may be better in children than in adults and better in the extra-heavy group than in the heavy group.Improvement in the 6-minute walking distance is better in children than in adults,and higher degree of burn indicates better improvement effects,with no difference from the control group for＜12 weeks.Peak oxygen uptake may be better in adults and severe burn groups than in children and moderate burn groups,resistance combined with aerobic exercise modalities may be better than aerobic exercise alone,and exercise duration＞60 minutes may be better than＜60 minutes.CONCLUSION:Physical activity is effective in improving physical function in burn patients,as evidenced by improvements in muscle strength,walking ability,cardiorespiratory fitness,and lean body mass.The quality of evidence recommended for all indicator results is moderate or below,with imprecision and inconsistency being the main factors for downgrading.Therefore,more high-quality randomized controlled trials are needed in the future to verify the reliability of the results.

OBJECTIVE:Some studies have shown that physical exercise can effectively improve knee extensor strength and cardiorespiratory function in burn patients;some studies have also shown that physical exercise is not effective in improving respiratory function in burn patients.Improvement effects of physical exercise on physical functions(muscle function,walking function,cardiopulmonary function,and lean body mass)of burn patients were evaluated by a systematic evaluation and meta-analysis.METHODS:Based on databases including Web of Science,PubMed,Embase,Cochrane Library,CNKI,WanFang,and the Chinese Biomedical Database,literature on the improvement of physical function in burn patients through physical exercise was searched using subject headings and free terms.With muscle function,walking ability,cardiopulmonary function,and lean body mass as the primary outcome measures,a meta-analysis was conducted to compare the efficacy of physical exercise with traditional physical therapy or conventional care methods.RESULTS:A total of 38 papers were included,of which 26 papers were included in the meta-analysis,involving 1 658 patients.Meta-analysis results showed that:(1)Physical exercise significantly enhances the knee extensor strength of the dominant leg in burn patients(mean difference[MD]=8.34,95％confidence interval[CI]:6.95-9.72,P＜0.000 01),increases quadriceps strength,peak oxygen uptake,forced vital capacity and maximum ventilation volume in 1 second,and resting heart rate(standardized mean difference[SMD]=4.41,95％CI:2.52-6.30,P＜0.000 01;MD=4.91,95％CI:3.52-6.29,P＜0.000 01;MD=5.86,95％CI:0.09-11.63,P=0.05;MD=6.90,95％CI:2.93-10.87,P=0.000 7;MD=5.03,95％CI:1.45-8.61,P=0.006),and improves the 6-minute walking distance,gait parameters,and total lean body mass(MD=45.29,95％CI:24.7-65.89,P＜0.0001;SMD=7.84,95％CI:6.05-9.63,P＜0.000 01;MD=2.47,95％CI:2.01-2.93,P＜0.000 01).(2)The subgroup analysis results indicated that the improvement in knee extensor strength of the dominant leg may be better in children than in adults and better in the extra-heavy group than in the heavy group.Improvement in the 6-minute walking distance is better in children than in adults,and higher degree of burn indicates better improvement effects,with no difference from the control group for＜12 weeks.Peak oxygen uptake may be better in adults and severe burn groups than in children and moderate burn groups,resistance combined with aerobic exercise modalities may be better than aerobic exercise alone,and exercise duration＞60 minutes may be better than＜60 minutes.CONCLUSION:Physical activity is effective in improving physical function in burn patients,as evidenced by improvements in muscle strength,walking ability,cardiorespiratory fitness,and lean body mass.The quality of evidence recommended for all indicator results is moderate or below,with imprecision and inconsistency being the main factors for downgrading.Therefore,more high-quality randomized controlled trials are needed in the future to verify the reliability of the results.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Growth and development-related diseases result from the interplay of biological, psychological, and social factors. The collaboration between healthcare, sports, and education sectors integrates multidisciplinary resources and strengths to promote standardized diagnostic and therapeutic processes. This approach establishes a comprehensive closed-loop system encompassing early screening and referral, diagnosis and comprehensive evaluation, intervention and support plan formulation, as well as long-term management andoutcome assessment. It provides systematic scientific support for the healthy growth of children and adolescents, shifting disease intervention to the subclinical stage. Against the backdrop of societal informatization and intelligent development, this diagnostic and therapeutic model not only safeguards the holistic health of children and adolescents but also offers novel perspectives and feasible pathways for managing growth and development-related diseases. The implementation of this systematic diagnostic and therapeutic paradigm presents an innovative solution with Chinese characteristics for addressing such conditions, while injecting new vitality into the advancement of national health initiatives.