Under the guidance of China′s national innovation-driven development strategy, advancing the deep integration of industry-academia-research in the healthcare sector has become a crucial pathway for enhancing medical technology levels and promoting high-quality development of hospitals. In 2021, Peking University Third Hospital established a hospital-enterprise joint research and development platform centered on hospital leadership, grounded in collaborative innovation theory. By translating the theoretical principles of " goal alignment, resource complementarity, risk sharing, and benefit sharing" into a multidimensional institutional framework, dynamic consensus mechanisms, and specialized support systems, the hospital developed a multi-tiered implementation pathway of " strategic guidance-platform implementation-research and development deployment". This approach enabled precise matching of resources and needs, efficiently advancing the innovation, transformation, and application of medical technologies. By the end of 2024, the platform had established stable partnerships with 22 enterprises, cumulatively undertaken 123 clinical research projects, as well as achieved a series of breakthroughs in fields such as cell therapy and intelligent imaging. This platform could solve problems such as divergent goals and institutional deficiencies in traditional medical enterprise cooperation, which could help to form a good innovation ecosystem and provide reference and inspiration for the construction of China′s medical technology innovation system.

Objective:To explore the effective way to improve the protection efficiency of intellectual property rights of medical institutions in the field of biomedicine by building an efficient patent pre-examination management system, so as to promote the transformation of achievements.Methods:Through literature review, case analysis and combined with the actual examination situation of the intellectual property protection center, the study analyzed and summarized the characteristics of long R&D cycle, rapid technology iteration, multidisciplinary intersection in the field of biomedicine, and the necessity of hospitals to carry out patent pre-examination work.Results:The pre-examination awareness of scientific researchers in medical institutions was weak, the drafting of application documents was not standardized, and the patent achievements were out of touch with the market.Conclusions:To accelerate intellectual property conversion of innovation achievements, innovation management strategies should be implemented: standardized processes, pre-evaluation, professional team support, process control and talent cultivation.

Under the guidance of China′s national innovation-driven development strategy, advancing the deep integration of industry-academia-research in the healthcare sector has become a crucial pathway for enhancing medical technology levels and promoting high-quality development of hospitals. In 2021, Peking University Third Hospital established a hospital-enterprise joint research and development platform centered on hospital leadership, grounded in collaborative innovation theory. By translating the theoretical principles of " goal alignment, resource complementarity, risk sharing, and benefit sharing" into a multidimensional institutional framework, dynamic consensus mechanisms, and specialized support systems, the hospital developed a multi-tiered implementation pathway of " strategic guidance-platform implementation-research and development deployment". This approach enabled precise matching of resources and needs, efficiently advancing the innovation, transformation, and application of medical technologies. By the end of 2024, the platform had established stable partnerships with 22 enterprises, cumulatively undertaken 123 clinical research projects, as well as achieved a series of breakthroughs in fields such as cell therapy and intelligent imaging. This platform could solve problems such as divergent goals and institutional deficiencies in traditional medical enterprise cooperation, which could help to form a good innovation ecosystem and provide reference and inspiration for the construction of China′s medical technology innovation system.

Objective:To explore the effective way to improve the protection efficiency of intellectual property rights of medical institutions in the field of biomedicine by building an efficient patent pre-examination management system, so as to promote the transformation of achievements.Methods:Through literature review, case analysis and combined with the actual examination situation of the intellectual property protection center, the study analyzed and summarized the characteristics of long R&D cycle, rapid technology iteration, multidisciplinary intersection in the field of biomedicine, and the necessity of hospitals to carry out patent pre-examination work.Results:The pre-examination awareness of scientific researchers in medical institutions was weak, the drafting of application documents was not standardized, and the patent achievements were out of touch with the market.Conclusions:To accelerate intellectual property conversion of innovation achievements, innovation management strategies should be implemented: standardized processes, pre-evaluation, professional team support, process control and talent cultivation.

Purpose/Significance To conduct the real world research on the application and impact of artificial intelligence(AI)technology in medical institutions,and to assist in intelligent governance decision-making in the field of medicine and health.Method/Process Taking Peking University Third Hospital as the research scene,the AI medical social experiment is carried out through literature meta-analysis,knowledge graph construction and mixed methodology research.Result/Conclusion Scholars at home and abroad are cautious and optimistic about the application of AI technology in the field of health.The research,development and application of AI technology in domestic public hospitals are very active,but small-scale field studies suggest that AI technology may lead to problems such as misleading decision-making and weakening of human subjectivity while improving the efficiency of diagnosis and treatment.In-telligent governance in the field of health,represented by AI technology,requires a long period and a wide range of sociological observa-tions.It is recommended to build a research base for medical AI technology R&D and supervision based on public hospitals,and continue to pay attention to issues such as human subjectivity,medical ethics and scientific and technological ethics in AI social governance.

Objective To explore the association between green space and the risk of dyslipidemia. Methods ^“Dyslipidemia^” and ^“ Normalized Difference Vegetation Index (NDVI)^” were used as search terms to search PubMed, Embase, and Web of Science databases for studies up to September 2023. ARHQ statistical assessment and review tool and NOS scale were employed to evaluate the quality of the studies. R 4.3.1 software was used for meta-analysis. Results A total of 11 studies were included, of which 5 cross-sectional studies and 5 cohort studies were rated as ^“high quality^”. The results of meta-analysis showed that an increase in NDVI in some buffer zones was associated with reduced risks of hypercholesterolemia, hypertriglyceridemia, low HDL-C, and high LDL-C, while an increase in NDVI in 100m buffer zone was significantly associated with reduced risks of all these four diseases, with hypercholesterolemia (OR=0.87, P<0.05), hypertriglyceridemia (OR=0.94, P<0.05), low HDL-C (OR=0.95, P<0.05), and high LDL-C (OR=0.87, P<0.05). Sensitivity analysis suggested that the results of most meta-analyses were robust. Conclusion With the increase in green space near residential areas, the risk of dyslipidemia may decrease.

Objective·To explore the effects of hypertension and dyslipidemia on cognitive function in the elderly.Methods·A dynamic population cohort was established by using prospective cohort study methods.In 2019,a complete cohort was selected from residents aged 65 and above who voluntarily participated in a free physical examination program in a community in Shanghai,serving as the baseline cohort.In 2022,512 community-dwelling elderly aged 67 to 93 were randomly selected from the same community as the follow-up cohort for the study.The collected date included residents' health records,various physical examination measurements,and Mini-mental State Examination(MMSE)scale scores.Results·Of the 512 cases that were followed up,the valid sample size was reduced to 495 after data cleaning.According to the baseline and follow-up cognitive assessments and changes,the cases were categorized into three cognitive groups:the improvement group,the normal group,and the decline group.The prevalence of hypertension in the decline group was 43.14%higher than that in the improvement group and 24.39%higher than that in the normal group(66.67%in the decline group vs 23.53%in the improvement group,P=0.011;66.67%in the decline group vs 42.28%in the normal group,P=0.040).Total cholesterol(TC)in the improvement group was lower than that in the normal group[improvement group(4.38±1.04)mmol/L vs normal group(5.11±1.12)mmol/L,P=0.009].Additionally,TC in the decline group in 2022 was higher than that in 2019[paired difference(0.46±0.87)mmol/L,95%CI 0.08?0.84,P=0.021].LDL-Ch in the improvement group was lower than that in the normal group[improved group(2.51±0.92)mmol/L vs normal group(3.07±1.00)mmol/L,P=0.024],and their HDL-Ch in 2022 was higher than that in 2019[paired difference(0.16±0.20)mmol/L,95%CI 0.06?0.26,P=0.005].The results of multinomial Logistic regression showed:TC in the improved group was lower than that in the normal group[β=4.12,OR=61.64,95%CI 1.52?2494.07,P=0.029]and the decline group[β=5.88,OR=357.35,95%CI 4.54?28149.75,P=0.008];the TAG[β=1.85,OR=6.34,95%CI 1.05?38.43,P=0.045],LDL-Ch[β=5.61,OR=274.06,95%CI 3.65?20567.57,P=0.011],and hypertension[β=1.90,OR=6.69,95%CI 1.53?29.16,P=0.011]in the decline group were higher than those in the improvement group;the age of the decline group was greater than that of the normal group[β=0.08,OR=1.08,95%CI 1.00?1.16,P=0.041],and the education level was lower than that of the normal group[β=1.22,OR=3.39,95%CI 1.28?8.94,P=0.014].Conclusion·Low TC and LDL-Ch and high HDL-Ch are beneficial to cognitive improvement.Conversely,hypertension,high TC,high TAG,high LDL-Ch,low education level,and advanced ages are risk factors for cognitive decline.

Objective To investigate the effect and potential molecular mechanism of PTGS2 on the prognosis of colon cancer patients.Methods The transcriptomic and proteomic data of pan-cancer were collected from TCGA,HPA,UALCAN and other databases,and the expression pattern and prognostic value of PTGS2 were analyzed by combining the clinical data such as staging,histology,survival time and so on.Based on GSEA,the biological functions which were significantly activated in patients with high expression of PTGS2 were iden-tified and the colon cancer cell line SW480 was used as an example for in vitro validation.PTGS2 over-expressing cell strains were constructed,and the effect on cell proliferation was determined by CCK8 method.Different concen-trations of H2O2 were used to form gradient oxidative stress,and the changes in cell antioxidant capacity were detected.The regulatory mechanism was preliminarily verified by Western blot.Results The transcription and expression of PTGS2 were found to be significantly up-regulated in colon cancer patients(P<0.05),and the increased expression of PTGS2 was associated with an increased mortality risk(P<0.05).Data analysis and in vitro experiments showed that over-expression of PTGS2 may promote the proliferation of colon cancer cells by activating the mTOR pathway.The antioxidant effect of cells was regulated by up-regulating oxidative stress regulatory proteins SOD2 and NRF2.Conclusions PTGS2 is a potential risk factor for colon cancer and its over-expression promotes cell proliferation,enhances cell antioxidant effect and is associated with poor progno-sis of colon cancer patients.

With the continuous development of science and technology,multidisciplinary cross-fertilization has become an essential driving force to promote scientific and technological innovation.Medical interdisciplinary cooperation not only helps to solve a series of problems in the field of medicine but also promotes the overall improvement of China's medical level and the high-quality development of hospitals.By analyzing the process and bottlenecks of interdisciplinary development in medicine,it introduces the construction of the College Road Alliance led by the Peking University Third Hospital.It summarizes the construction experience of building the essential elements,mechanisms,and institutions of interdisciplinary organizational cooperation.

Modified electroconvulsive therapy(MECT)has a good therapeutic effect on major depressive disorder(MDD),but its mechanism of action is still unclear.In recent years,accumulated studies have confirmed the effects of MECT on brain structure and function using neuroimaging techniques and large datasets obtained through global collaborations and the conclusions are becoming increasingly consistent.For example,there is an increase in gray matter volume in specific brain regions such as the hippocampus and amygdala,an increase in white matter microstructural integrity and normalization of brain functional connections associated with MDD,such as the hippocampus-amygdala-subgenual anterior cingulate cortex-prefrontal cortex network,hippocampus-thalamus-temporal cortex-parietal cortex network,etc.However,the relationship between these changes and the mechanism of MECT action still needs further investigation.This review provides an overview of the research progress on the structural and functional changes of the brain by MECT to provide methodological support and theoretical basis for its better application in clinical diagnosis and treatment.