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.

Objective To analyze the spatial distribution pattern of the potential suitable habitats for the Tibetan medicinal plant Sinopodophyllum hexandrum under current climatic conditions and the factors influencing the spatial differentiation of the habitats.Methods Based on the maximum entropy model,a species distribution model was established using selected species distribution data and environmental variable data.The geographic detector and the interaction detector were applied to quantify the factors affecting the spatial differentiation of the suitable area.By overlaying the suitable area with land cover types,the distribution characteristics of potential arable land and forest land within the potential suitable area were quantified.Results Under the current climatic conditions,altitude,precipitation in July,precipitation during the warmest season,water vapor pressure in June,precipitation in December,and the highest temperature in February are the key environmental factors affecting the distribution of Sinopodophyllum hexandrum.Under the current climatic conditions,the potential geographical distribution range of Sinopodophyllum hexandrum covers an area of 1.30×106 km2.Considering land cover types,the actual suitable area for Sinopodophyllum hexandrum is 6.13×105 km2,including 4.25×105 km2 of forest land and 1.88×105 km2 of arable land.The highly suitable forest areas are mainly distributed in the Aba Tibetan and Qiang Autonomous Prefecture,Ganzi Tibetan Autonomous Prefecture of Sichuan Province,Diqing Tibetan Autonomous Prefecture,Nujiang Lisu Autonomous Prefecture of Yunnan Province and Linzhi City within the Tibet Autonomous Region.The highly suitable arable land areas are mainly distributed in the Linxia Hui Autonomous Prefecture,Dingxi City,Tianshui City,and Longnan City of Gansu Province,with sporadic belt-like distributions in Sichuan Province,Yunnan Province and the Tibet Autonomous Region.Conclusion The study can provide evidence for the protection of wild Sinopodophyllum hexandrum resources and the selection of optimal planting areas.

This article reviews the challenges faced by research teams in China, and drawing on advanced management modes both in China and abroad, proposes a "dual optimization of management modes, stable and efficient platform support, and flexible and precise talent development" mode for research team construction and student cultivation. Specifically, this mode includes promoting flexible team management through enhanced two-way feedback between mentors and students, improving shared experimental platforms to increase resource utilization efficiency, and designing tailored training programs that align with individual student needs. The aim is to enhance team cohesion, improve the communication, collaboration, and innovation in basic medical research teams, and ultimately raise the quality of talent development in universities.

Objective To analyze the spatial distribution patterns of the potential suitable habitats for Cremastrae Pseudobulbus Pleiones Pseudobulbus,including Cremastra appendiculata(D.Don)Makino,Pleione bulbocodioides(Franch.)Rolfe and Pleione yunnanensis Rolfe under current climatic conditions,and the factors influencing the spatial differentiation of their habitats.Methods Based on the maximum entropy(MaxEnt)model,a species distribution model was established using the screened species distribution data and environmental variable data.The factor detection and interaction detection of geographical detector were applied to quantify the factors influencing the spatial differentiation of the suitable areas.By overlaying the suitable areas with land cover types,the distribution characteristics of forest land and arable land in the potential suitable areas were quantified.Results Under the current climatic scenario,environmental variables such as solar radiation intensity,precipitation and temperature were closely related to the spatial distribution of Cremastrae Pseudobulbus Pleiones Pseudobulbus.The potential suitable areas for Cremastra appendiculata(D.Don)Makino,Pleione bulbocodioides(Franch.)Rolfe and Pleione yunnanensis Rolfe were 2.20×106 km2,2.75×106 km2 and 7.22×105 km2,respectively.Considering land cover types,the actual possible suitable areas for Cremastra appendiculata(D.Don)Makino,Pleione bulbocodioides(Franch.)Rolfe and Pleione yunnanensis Rolfe were 1.86×106 km2,2.20×106 km2 and 5.77×105 km2,respectively.Among these,the area of forest land was 1.17×106 km2,1.34×106 km2 and 3.67×105 km2,respectively,and the area of arable land was 6.95×105 km2,8.64×105 km2 and 2.10×105 km2,respectively.Conclusion This study can provide a basis for the protection and sustainable utilization of wild resources of the original plant materials of Cremastrae Pseudobulbus Pleiones Pseudobulbus.

Cilia,as cellular sensory organelles,actively partici-pate in and regulate cellular processes such as autophagy and metabolic breakdown during their generation and transportation.Autophagy,on the other hand,is a cell self-protection mecha-nism that maintains cellular homeostasis by clearing aggregates and damaged organelles.Combining recent research findings,this review comprehensively elucidates the bidirectional crosstalk between primary cilia and autophagy.Specifically,it highlights the crucial role of cilia-dependent signaling pathways in activa-ting cellular autophagy and how autophagy regulates cilia genera-tion and length by degrading specific ciliary proteins.Moreover,the dysregulation of primary cilia and autophagy is closely asso-ciated with the clinical manifestations and pathogenesis of vari-ous ciliopathy-related diseases such as polycystic kidney disease and tuberous sclerosis.In terms of pharmacotherapy,this review provides a comprehensive and in-depth overview of small mole-cule inhibitors targeting ciliogenesis,including cytoskeletal drugs and Hedgehog signaling pathway inhibitors.Despite the current limitations in clinical use,these drugs lay the groundw-ork for developing highly specific targeted small molecule inhibi-tors of ciliogenesis and for the treatment of ciliopathies and canc-ers.By systematically discussing ciliogenesis,autophagy,disea-ses and drugs,this review offers new insights for further elucida-ting the crosstalk between ciliogenesis and autophagy,exploring their pathological mechanisms in disease development,and de-veloping therapeutic strategies in the future.

Objective To analyze the spatial distribution pattern of potential suitable habitats and the influencing factors of habitat spatial differentiation of Gastrodiae Rhizoma under current climate conditions.Methods Based on 137 distribution records of Gastrodiae Rhizoma sourced from the Global Biodiversity Information Facility and 104 environmental variables acquired from the WorldClim dataset,a predictive model for the potential suitable habitat of Gastrodiae Rhizoma was developed using the MaxEnt model.The geodetector was applied to quantitatively analyze the environmental factors influencing the spatial heterogeneity of the suitable habitats.Subsequently,an overlay analysis with land cover types was conducted to obtain the distribution characteristics of forest land and cultivated land in the potential suitable habitats.Results Under current climate conditions,key environmental factors affecting the distribution of Gastrodiae Rhizoma included precipitation in July,average temperature in the coldest quarter,precipitation in the warmest quarter,water vapor pressure in September,altitude,and solar radiation in December.The potential geographical distribution range of Gastrodiae Rhizoma was 1.64×106 km2.Considering land cover types,the actual potential suitable area for Gastrodiae Rhizoma was 1.33×106 km2,of which the forest land area was 8.56×105 km2 and the cultivated land area was 4.74×105 km2.The highly suitable forest areas were mainly located within the provinces of Guizhou,Sichuan,Shaanxi,Hubei,Hunan and Gansu.The cultivated land suitable areas are mainly located within the provinces of Guizhou,Sichuan,Yunnan,Shaanxi and Hubei.Conclusion The highly suitable habitats of Gastrodiae Rhizoma are mainly located in provinces such as Guizhou,Sichuan,Shaanxi and Hubei,and are affected by factors such as solar radiation,water vapor pressure,temperature and precipitation.The research results can provide reference for the protection of wild Gastrodiae Rhizoma resources,artificial nurturing and optimal selection of ecological planting areas.

Objective To analyze the spatial distribution pattern of the potential suitable habitats for the Tibetan medicinal plant Sinopodophyllum hexandrum under current climatic conditions and the factors influencing the spatial differentiation of the habitats.Methods Based on the maximum entropy model,a species distribution model was established using selected species distribution data and environmental variable data.The geographic detector and the interaction detector were applied to quantify the factors affecting the spatial differentiation of the suitable area.By overlaying the suitable area with land cover types,the distribution characteristics of potential arable land and forest land within the potential suitable area were quantified.Results Under the current climatic conditions,altitude,precipitation in July,precipitation during the warmest season,water vapor pressure in June,precipitation in December,and the highest temperature in February are the key environmental factors affecting the distribution of Sinopodophyllum hexandrum.Under the current climatic conditions,the potential geographical distribution range of Sinopodophyllum hexandrum covers an area of 1.30×106 km2.Considering land cover types,the actual suitable area for Sinopodophyllum hexandrum is 6.13×105 km2,including 4.25×105 km2 of forest land and 1.88×105 km2 of arable land.The highly suitable forest areas are mainly distributed in the Aba Tibetan and Qiang Autonomous Prefecture,Ganzi Tibetan Autonomous Prefecture of Sichuan Province,Diqing Tibetan Autonomous Prefecture,Nujiang Lisu Autonomous Prefecture of Yunnan Province and Linzhi City within the Tibet Autonomous Region.The highly suitable arable land areas are mainly distributed in the Linxia Hui Autonomous Prefecture,Dingxi City,Tianshui City,and Longnan City of Gansu Province,with sporadic belt-like distributions in Sichuan Province,Yunnan Province and the Tibet Autonomous Region.Conclusion The study can provide evidence for the protection of wild Sinopodophyllum hexandrum resources and the selection of optimal planting areas.

Objective To design an intelligent monitoring platform for adverse drug reactions(ADRs)to solve the problems of the traditional ADR monitoring mode.Methods The ADR intelligent monitoring platform was designed based on artificial intelligence and big data technologies,which was developed with Browser/Server(B/S)architecture,C#programming language and.NET development tool.There were five functional modules involved in the platform for ADR knowledge base,monitoring rule setting,intelligent monitoring,report management and statistical analysis.Results The platform realized the full-process management of ADR intelligent monitoring,reporting,review and statistical analysis,which enhanced the ADR report in quantity,quality and timeliness.Conclusion The platform contributes to improving the monitoring of ADR and patient medication safety.[Chinese Medical Equipment Journal,2025,46(9):33-38]

Objective To design an intelligent monitoring platform for adverse drug reactions(ADRs)to solve the problems of the traditional ADR monitoring mode.Methods The ADR intelligent monitoring platform was designed based on artificial intelligence and big data technologies,which was developed with Browser/Server(B/S)architecture,C#programming language and.NET development tool.There were five functional modules involved in the platform for ADR knowledge base,monitoring rule setting,intelligent monitoring,report management and statistical analysis.Results The platform realized the full-process management of ADR intelligent monitoring,reporting,review and statistical analysis,which enhanced the ADR report in quantity,quality and timeliness.Conclusion The platform contributes to improving the monitoring of ADR and patient medication safety.[Chinese Medical Equipment Journal,2025,46(9):33-38]

Objective To understand the current status of application,management,and maintenance of automa-ted endoscope reprocessors(AERs)in China.Methods A questionnaire survey was conducted using convenience sampling method on the application,management,maintenance,and monitoring of AERs,as well as personnel training in digestive endoscopy centers of 292 medical institutions(MIs).Results A total of 316 questionnaires were distributed,and 292 were available,with an effective response rate of 92.41％.Among the 292 MIs,198(67.81％)were equipped with AERs,with equipment rates of 75.11％in tertiary MIs and 41.27％in secondary MIs.88.38％of MIs performed manual cleaning before placing endoscopes into AERs,while 2.02％of MIs still didn't perform this step,mainly in tertiary MIs.The most common problems in the application of AERs were the detachment or damage of connecting pipes(83.33％),followed by disinfectant leakage of AERs(43.94％),mal-function of control panel(43.94％),and failure or poor water flow of AER pipeline(42.93％).92.42％of MIs regularly disinfected AERs,72.73％of MIs regularly replaced AER air filters,and 80.30％of MIs regularly re-placed AER water filters.96.46％of MIs monitored the concentration of disinfectants before daily application of AERs,87.88％of MIs regularly monitored the final rinse water of AERs,and 96.97％of MIs provided professio-nal training for new employees to use AERs for the first time.Conclusion The equipping rate of AERs at all levels of MIs in China still needs to be improved.Most MIs are able to monitor and maintain AERs well,but there are still many problems in the application process.Due to the large volume of endoscopic diagnosis and treatment as well as insufficient execution rate of manual cleaning in tertiary MIs,it is necessary to optimize workflow and strengthen training.Secondary MIs face challenges such as equipment shortages and low monitoring execution rates,requiring increased funding and regulatory efforts.It is recommended that manufacturers continuously optimize AER design,MIs establish standardized AER application protocol,and relevant departments improve AER application and ma-nagement standards,in order to improve the quality of endoscopic cleaning and disinfection and ensure patient safety during diagnosis and treatment.