With the development of science and technology worldwide, the blooming of artificial intelligence (AI) and big data has brought new opportunities and challenges to the promotion of the research capacity of professional master's students in oncology. The construction of the new medical education in China aims to cultivate high-level medical talents with comprehensive multidisciplinary skills and innovative abilities to flexibly solve complex problems at the frontier of medicine. In this context, professional master's students in oncology, who are facing problems such as low scientific research output and uneven quality and needing improving scientific research literacy, have been required to develop into compound talents with both clinical and research prowess. To cultivate and promote the research capacity of professional master's students in oncology, the key steps include accelerating the construction of AI education and databases, highlighting the cultivation of their scientific research capacity, implementing and fostering the cultivation of innovative ability and scientific research thinking, piloting joint cultivation models by engineering universities and medical universities, emphasizing the construction of the curriculum and teacher team for oncology, piloting the multidisciplinary mode and COME mode, and establishing a multidisciplinary cooperation network.

Objective:To conduct a multi-center cross-sectional study of elderly patients with cognitive impairment based on real-world data; To analyze the clinical characteristics and core medication law of the disease population.Methods:The medical records of elderly patients diagnosed with cognitive impairment from January 1, 2016 to December 31, 2024 were retrieved from Chinese Evidence-based TCM Database. Excel 2010 software was used to collect general information, TCM syndrome elements and syndrome types, use frequency of Chinese materia medica, property, taste, meridian tropism, efficacy classification and other information, using PivotTable to establish Chinese materia medica matrix. IBM SPSS Modeler 18.0 software was used to display the frequency of co-occurrence among high-frequency Chinese materia medica, and the association rules were analyzed based on the Apriori algorithm. R language 4.4.1 was used for clustering analysis on Chinese materia medica and the cluster pedigree and correlation heat map were drawn.Results:A total of 1 194 elderly patients with cognitive impairment were enrolled, with a mean age of (79.51±7.65) years, and the highest frequency of comorbidities was hypertension (891 cases, 74.62%); AD was the most frequent diagnosis of cognitive impairment (367 times, 30.74%). The proportion of mild cognitive impairment in the low value group of Systemic Immune Inflammation Index (SII) was relatively high, and the high value group of SII was mainly vascular dementia and AD. Wind-phlegm blocking syndrome (106 times, 13.73%) topped the list; phlegm was the most frequent element of pathogenicity (353 times, 45.73%), and meridians and collaterals (194 times, 25.13%). Totally 328 prescriptions were included, involving 308 kinds of Chinese materia medica. The total recorded frequency of Chinese materia medica was 5 665, with tonifying herbs constituting the most frequently used category, accounting for 1 633 times; the medicinal property of drugs for treating elderly patients with cognitive disorders was mostly warm (103 times, 33.44%), the taste was mostly bitter (141 times, 45.78%), and attributed to the liver meridian (145 times, 47.08%); among the two and three association rules, the drug pairs with the highest confidence were Gastrodiae Rhizoma→Uncariae Ramulus cum Uncis (97.22%) and Hyperici Perforati Herba→Acanthopanacis Senticosi Radix et Rhizoma seu Caulis+Alpiniae Oxyphyllae Fructus (97.06%); five medicinal combinations were obtained by high frequency drug clustering analysis.Conclusions:Elderly patients with cognitive impairment are mainly diagnosed with AD. There may be a potential correlation between SII level and the progression of cognitive impairment. The drugs are used to tonify the kidney and replenish essence, detoxify and unblock collaterals, replenish qi and activate blood circulation, and awaken the brain and open the orifices. Shengmai Decoction, Renshen Yangrong Decoction and other TCM classic prescriptions can be used in clinic.

Objective To analyze the geographical distribution characteristics of TCM syndromes of coronary heart disease in the elderly based on the literature;To summarize the characteristics of TCM syndromes of coronary heart disease patients in different geographical areas;To provide evidence-based data for the standardization of TCM syndromes and syndrome differentiation treatment of coronary heart disease in the elderly.Methods Literature on TCM syndrome of coronary heart disease in the elderly was retrieved from CNKI,Wanfang Data,VIP,CBM and PubMed,from the establishment of each database to December 31,2024.The common TCM syndrome types,syndrome frequency and regional distribution of coronary heart disease in the elderly were statistically analyzed.Results Forty articles were included,with a total number of 6 447 cases and a male-to-female ratio of 1.1∶1.The top 5 highest percentage of co-morbidities of coronary artery disease in the elderly were 1 308 cases of hypertension(24.11%),1 022 cases of type 2 diabetes mellitus(18.84%),787 cases of respiratory disease(14.51%),517 cases of heart failure(9.53%),and 348 cases of hyperlipidemia(6.41%).The top 5 TCM syndromes in elderly patients with coronary heart disease included 779 cases of qi deficiency and blood stasis(12.08%),692 cases of qi-yin deficiency(10.73%),367 cases of phlegm-blood stasis(5.69%),363 cases of heart blood stagnant blockade(5.63%),and 343 cases of qi stagnation and blood stasis(5.32%).The distribution of TCM syndromes in different regions was characterized by qi deficiency,blood stasis and phlegm stasis in the northeast;qi deficiency,blood stasis and qi yin deficiency in the north;qi deficiency,blood stasis and phlegm internal obstruction in the east;qi and yin deficiency and heart blood stasis in the central;qi deficiency,blood stasis and phlegm stasis in the south;phlegm and yin paralysis obstruction,qi and yin deficiency in the southwest;stasis blockage of the cardiac veins,qi yin deficiency in the northwest.The overall trend was that the number of syndromes in the north was higher than that in the south;the number of syndromes in the east,centre and west was decreasing.The distribution of yin deficiency syndrome was highest in the southwest(23.33%)and lowest in the east(10.93%);yang deficiency syndrome was highest in the southwest(13.30%)and lowest in the central(3.32%);qi deficiency and blood stasis syndrome was highest in the northeast(32.89%)and lowest in the northwest(7.24%);the distribution of qi-yin deficiency was highest in the southwest(23.33%)and lowest in the east(7.22%);the distribution of phlegm and stasis syndrome was highest in the northeast(25.67%)and lowest in the east(1.69%).The overall generalization was that deficiency,stasis and phlegm were the main syndrome factors.Conclusion The main symptoms of coronary heart disease in the elderly manifest as a mixture of deficiency and excess,qi deficiency and blood stasis syndrome is the most syndrome type of coronary heart disease in the elderly and is mainly distributed in the northeast.The distribution of TCM syndromes has regional characteristics.

A method that integrates the features of image patches from corneal lesions and conjunctival congestion-like complications is proposed to address the limitations of manual keratitis diagnosis(i.e.,time-consuming,laborious,high subjectivity)and the generally low accuracy of automatic keratitis diagnosis based on original slit-lamp images.Specifically,samples are acquired from the corneal and conjunctival regions.A cost-sensitive convolutional neural network is then used to extract and concatenate the high-level features of these image patches.After dimensionality reduction through principal component analysis,the processed features are input into the fully connected layer for classification.Trained and evaluated on 6414 slit-lamp images collected from Ningbo Eye Hospital,the proposed method achieves accuracies of 97.8%,98.6%,and 97.0%for keratitis,normal cornea,and other abnormal corneas,respectively.This method effectively integrates relevant features and provides a feasible solution for high-accuracy keratitis diagnosis.

A method that integrates the features of image patches from corneal lesions and conjunctival congestion-like complications is proposed to address the limitations of manual keratitis diagnosis(i.e.,time-consuming,laborious,high subjectivity)and the generally low accuracy of automatic keratitis diagnosis based on original slit-lamp images.Specifically,samples are acquired from the corneal and conjunctival regions.A cost-sensitive convolutional neural network is then used to extract and concatenate the high-level features of these image patches.After dimensionality reduction through principal component analysis,the processed features are input into the fully connected layer for classification.Trained and evaluated on 6414 slit-lamp images collected from Ningbo Eye Hospital,the proposed method achieves accuracies of 97.8%,98.6%,and 97.0%for keratitis,normal cornea,and other abnormal corneas,respectively.This method effectively integrates relevant features and provides a feasible solution for high-accuracy keratitis diagnosis.

With the development of science and technology worldwide, the blooming of artificial intelligence (AI) and big data has brought new opportunities and challenges to the promotion of the research capacity of professional master's students in oncology. The construction of the new medical education in China aims to cultivate high-level medical talents with comprehensive multidisciplinary skills and innovative abilities to flexibly solve complex problems at the frontier of medicine. In this context, professional master's students in oncology, who are facing problems such as low scientific research output and uneven quality and needing improving scientific research literacy, have been required to develop into compound talents with both clinical and research prowess. To cultivate and promote the research capacity of professional master's students in oncology, the key steps include accelerating the construction of AI education and databases, highlighting the cultivation of their scientific research capacity, implementing and fostering the cultivation of innovative ability and scientific research thinking, piloting joint cultivation models by engineering universities and medical universities, emphasizing the construction of the curriculum and teacher team for oncology, piloting the multidisciplinary mode and COME mode, and establishing a multidisciplinary cooperation network.

Objective To analyze the geographical distribution characteristics of TCM syndromes of coronary heart disease in the elderly based on the literature;To summarize the characteristics of TCM syndromes of coronary heart disease patients in different geographical areas;To provide evidence-based data for the standardization of TCM syndromes and syndrome differentiation treatment of coronary heart disease in the elderly.Methods Literature on TCM syndrome of coronary heart disease in the elderly was retrieved from CNKI,Wanfang Data,VIP,CBM and PubMed,from the establishment of each database to December 31,2024.The common TCM syndrome types,syndrome frequency and regional distribution of coronary heart disease in the elderly were statistically analyzed.Results Forty articles were included,with a total number of 6 447 cases and a male-to-female ratio of 1.1∶1.The top 5 highest percentage of co-morbidities of coronary artery disease in the elderly were 1 308 cases of hypertension(24.11%),1 022 cases of type 2 diabetes mellitus(18.84%),787 cases of respiratory disease(14.51%),517 cases of heart failure(9.53%),and 348 cases of hyperlipidemia(6.41%).The top 5 TCM syndromes in elderly patients with coronary heart disease included 779 cases of qi deficiency and blood stasis(12.08%),692 cases of qi-yin deficiency(10.73%),367 cases of phlegm-blood stasis(5.69%),363 cases of heart blood stagnant blockade(5.63%),and 343 cases of qi stagnation and blood stasis(5.32%).The distribution of TCM syndromes in different regions was characterized by qi deficiency,blood stasis and phlegm stasis in the northeast;qi deficiency,blood stasis and qi yin deficiency in the north;qi deficiency,blood stasis and phlegm internal obstruction in the east;qi and yin deficiency and heart blood stasis in the central;qi deficiency,blood stasis and phlegm stasis in the south;phlegm and yin paralysis obstruction,qi and yin deficiency in the southwest;stasis blockage of the cardiac veins,qi yin deficiency in the northwest.The overall trend was that the number of syndromes in the north was higher than that in the south;the number of syndromes in the east,centre and west was decreasing.The distribution of yin deficiency syndrome was highest in the southwest(23.33%)and lowest in the east(10.93%);yang deficiency syndrome was highest in the southwest(13.30%)and lowest in the central(3.32%);qi deficiency and blood stasis syndrome was highest in the northeast(32.89%)and lowest in the northwest(7.24%);the distribution of qi-yin deficiency was highest in the southwest(23.33%)and lowest in the east(7.22%);the distribution of phlegm and stasis syndrome was highest in the northeast(25.67%)and lowest in the east(1.69%).The overall generalization was that deficiency,stasis and phlegm were the main syndrome factors.Conclusion The main symptoms of coronary heart disease in the elderly manifest as a mixture of deficiency and excess,qi deficiency and blood stasis syndrome is the most syndrome type of coronary heart disease in the elderly and is mainly distributed in the northeast.The distribution of TCM syndromes has regional characteristics.

Insulin resistance has been regarded as a hallmark of diabetes heart disease (DHD). Numerous studies have shown that insulin resistance can affect blood circulation and myocardium, which indirectly cause cardiac hypertrophy and ventricular remodeling, participating in the pathogenesis of DHD. Meanwhile, hyperinsulinemia, hyperglycemia, and hyperlipidemia associated with insulin resistance can directly impair the metabolism and function of the heart. Targeting insulin resistance is a potential therapeutic strategy for the prevention of DHD. Currently, the role of insulin resistance in the pathogenic development of DHD is still under active research, as the pathological roles involved are complex and not yet fully understood, and the related therapeutic approaches are not well developed. In this review, we describe insulin resistance and add recent advances in the major pathological and physiological changes and underlying mechanisms by which insulin resistance leads to myocardial remodeling and dysfunction in the diabetic heart, including exosomal dysfunction, ferroptosis, and epigenetic factors. In addition, we discuss potential therapeutic approaches to improve insulin resistance and accelerate the development of cardiovascular protection drugs.

Objective To explore the drug resistance mechanism and characteristics of carbopenem-resistant pseudo-monas aeruginosa(CRPA)in our hospital.Methods BD phoenix 100 automatic bacterial identification and drug sensitivity an-alyzer was used to identify and detect the drug sensitivity of the strains.The minimum inhibitory concentration(MIC)of ceftazi-dime/acibactam was detected by micro broth dilution method.The modified carbapenem inactivation method(mCIM)and colloi-dal gold immunochromatography were used to detect the carbapenemase phenotype of the strains.The whole genome sequencing was used to detect the carbapenemase resistance gene and ST typing of the screened positive strains.Results A total of 22 strains of clinically isolated CRPA were collected,of which the antibacterial drugs with the lowest resistance rate were ceftidine/avibatan(22.7% ),followed by gentamicin and amikacin(27.3% ),pyracillin/tazobactam(59.09% ),cefuroxime(63.6% ).Ceftazide and aminotransferrane(77.27% ),ciprofloxacin(86.36% ),levofloxacin(95.45% ).There are a total of 5 strains(22.7% )of carbapenems in 22 CRPA by phenotypic detection.The whole genome sequencing results show that 4 strains of ST549 CRPA carry metal β-lactamase IMP-45 and serine β-lactamase OXA-1,OXA-50,one strain is ST245 CRPA carries metal β-lactamase NDM-1,that is,all five CRPA strains produce metal β-lactamase.Conclusion The resistance rate of CRPA to ceftazidime/avibactam is low in our hospital.Carbapenemase-producing is not the main mechanism of CRPA resistance to car-bapenems,while metal β-Lactamase-producing is the main mechanism of CRPA resistance to ceftazidime avibactam.