ObjectiveHistorically documented Zhejiang Atractylodis Macrocephalae Rhizoma（Baizhu） possesses premium characteristics such as phoenix-like head and crane-like neck， pronounced sweetness， and fragrant aroma. However， its current market circulation is low， and the processed products with Zhejiang-style characteristics are at the risk of being lost. This study aims to preserve the ancient Zhejiang-style processing techniques and evaluate them using modern scientific methods. MethodsMultidimensional intelligent sensory evaluation was used to digitally characterize the "quality-structure" of the external appearance of nine-steamed and nine-processed Baizhu medicinal materials（intermediate processed products） and the "odor-taste" of the internal quality of its decoction pieces（slices）， and the appearance parameters were digitally characterized by colorimeter， texture analyzer， electronic nose and electronic tongue， the chemical composition was analyzed via ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）. Then， cluster analysis on the differences in odor between the medicinal materials（intermediate processed products） and decoction pieces（slices） of nine-steamed and nine-processed Baizhu was conducted， as well as the differences in taste between water-soluble and alcohol-soluble extracts of the decoction pieces（slices）， and the correlation analysis of chroma value-alcohol-soluble extract content-component response value. ResultsThe nine-steamed and nine-processed Baizhu had a dark brown to black epidermis， a brownish-yellow to brownish-gray cross-section， a slightly tough texture， a faint odor， and a slightly sweet， bitter and pungent taste. Texture analyzer measurements revealed minimal adhesion and maximum recovery in the middle section of the characteristic processed Baizhu， consistent with the processing endpoint of thorough steaming and cooking. The head section showed the highest internal hardness， elasticity and chewiness， indicating a denser texture in this area. The electronic nose sensor could clearly distinguish the difference between the medicinal materials and its decoction pieces， with a more significant clustering effect at 60 ℃ for 30 minutes compared to ambient temperature headspace for 2 hours， highlighting the significant impact of the baking degree before slicing on the quality. The electronic tongue taste signal map clearly distinguished the differences between water-soluble and alcohol-soluble extracts of nine-steamed and nine-processed Baizhu decoction pieces， and the addition of auxiliary materials during processing could enhance its alcohol-soluble extract content. A total of 82 chemical components were identified in the characteristic processed Baizhu. After processing， the contents of 58 components increased， while 24 components decreased. Correlation analysis revealed significant negative correlations（P<0.01） between ethanol-soluble extract content and colorimetric values of brightness（L^*）， yellow-bule value（b^*）， and total color difference（E^*_ab）. E^*_ab showed marked negative correlations（P<0.05） with the response values of isochlorogenic acid A and C. ConclusionThis study establishes a modern intelligent sensory evaluation model for multidimensional holographic characterization of nine-steamed and nine-processed Baizhu， clarifying the correlation between increased isochlorogenic acid content and the visual color appearance after different steaming cycles， as well as its intrinsic alcohol-soluble extracts. This provides a reference for quality evaluation and processing standards of the Zhejiang-style characteristic processed products.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Objective This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

Objective To construct a mammography image classification assistant system suitable for Chinese population,and explore the potential of artificial intelligence technology to assist early screening of breast cancer in China.Methods Curated breast imaging subset of digital database for screening mammography(CBIS-DDSM),Mammographic image analysis society database(MIAS)and other international open datasets were used to conduct model training respectively in order to reproduce the mainstream in-depth learning methods in the current literature.The model was also tested on the Chinese breast mammography database(CBMD)provided by Huajiao Technology Co.,Ltd,and the performance was compared.Aiming at the problem that the Chinese population data are not ideal in the performance test of the open dataset training model,an optimization strategy based on the sliding window adjustment mechanism was implemented in combination with the characteristics of Chinese population data.Then a two-stage migration learning method was designed to improve the overall performance of the model,and then development of our system was carried out.Results With the sliding window adjustment mechanism and the CBMD training model after two-stage transfer learning,the accuracy of our developed system was improved from 0.50 of the open datasets to 0.80,precision from 0.54 to 0.82,sensitivity from 0.52 to 0.80,F1 value from 0.52 to 0.80,and AUC value from 0.51 to 0.89 based on the Chinese population dataset as the test set.Conclusion Through the introduction of sliding window adjustment mechanism and two-stage migration learning strategy,the performance of the breast molybdenum target image classification model has been significantly improved in the Chinese population dataset,and our system primarily achieves the purpose of assisting the classification of breast molybdenum target images for the Chinese population.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

The scientific research and innovation capabilities of medical students are intrinsically linked to the sustained and high-quality development of national healthcare initiatives.Cultivating outstanding medi-cal students with independent scientific capabilities and innovative consciousness is a critical component in the education and training of high-level medical professionals.Our investigation revealed that within the imperfections of the cultivating model,some faculty and students at medical schools have an insufficient understanding of scientific research and innovation and lack motivation for engaging in such activities,which hinder the progression of scientific research activities.Consequently,we initiated a teaching practice and exploratory study on the"tutorial system"aimed at fostering medical students'scientific research and innovation abilities.Based on the principle of"research informing teaching,teaching and research advan-cing together,"this study implements a"tutorial system"coordinated by tutors,supplemented by graduate and undergraduate student mentors,to cultivate innovative thinking,stimulate interest in scientific re-search,and enhance practical and research skills among medical students.Through collaborative efforts within"scientific research innovation teams,"various educational methods—including preliminary re-search,in-class and extracurricular activities,intra-group and inter-group interactions,and theoretical and practical applications—are employed to improve and strengthen the cultivation of medical students'scientif-ic research and innovation abilities.This study aims to provide valuable references for optimizing medical education management systems and enhancing the quality of medical student training.

Objective To investigate the clinical efficacy of oblique lumbar interbody fusion(OLIF)combined with lateral plate fixation in the treatment of single-level adjacent segment disease(ASDis)following lumbar fusion surgery so as to evaluate the safety and effectiveness of this surgical approach.Methods A retrospective analysis was conducted on 46 patients with single-level ASDis after lumbar fusion surgery from August 2022 to October 2024.Twenty-three patients underwent OLIF combined with lateral plate fixation(OLIF group),while 23 patients received posterior lumbar interbody fusion(PLIF)(PLIF group).The following parameters were compared between the two groups:operative time,intraoperative blood loss,visual analogue scale(VAS)for pain,Oswestry disability index(ODI),disc height(DH),intervertebral foramen height(IFH),and interbody fusion status.Results All the 46 patients successfully completed surgery for single-level ASDis and were followed up for(13.7±1.1)months.The OLIF group had significantly shorter operative time[(70.7±4.6)min vs.(128.6±12.0)min]and less intraoperative blood loss[(58.6±5.7)mL vs.(313.3±47.5)mL]compared to the PLIF group(all P＜0.05).Both groups showed significant improvements in postoperative lumbar VAS and ODI scores at all follow-up time points compared to preoperative values(P＜0.05).The OLIF group exhibited significantly lower lumbar VAS scores at 3 days and 3 months postoperatively than those of the PLIF group(P＜0.05),and there was no statistical difference in VAS scores at the other follow-up time points(P＞0.05).There was no significant difference in postoperative ODI between OLIF group and PLIF group at each time point(P＞0.05).Postoperative DH and IFH were significantly improved in both groups compared to preoperative measurements(P＜0.05).In OLIF group,1 case of transient left thigh numbness resolved with conservative treatment within 2 weeks;1 case of cage subsidence was observed at 1 month postoperatively,achieving fusion without further displacement by 13 months.All the OLIF cases achieved complete fusion(fusion rate:100％).In PLIF group,2 cases of cerebrospinal fluid leakage healed with bed rest,1 case of wound exudation resolved with intensive dressing changes,and 1 case failed to achieve fusion(fusion rate:96％).Conclusion OLIF combined with lateral plate fixation demonstrates satisfactory early clinical outcomes for single-level ASDis after lumbar fusion,with significant advantages in operative efficiency(shorter time plus reduced blood loss)and short-term pain relief.Therefore,it is a safe and effective surgical approach.

Objective:To investigate the clinical efficacy and safety of needle-free and needle-based injections of recombinant human interferon (IFN) -α2a in the treatment of palmoplantar warts.Methods:Patients aged 6 to 75 years with palmoplantar warts were prospectively enrolled from the Department of Dermatology, Zhongda Hospital, Southeast University between March and September 2023, and baseline data were collected. The patients were randomly and equally divided into a needle-free injection group and a needle-based injection group by using a random number table method, and received needle-free and needle-based injections of recombinant human IFN-α2a once every 2 to 3 weeks, respectively, with a maximum of 4 treatment sessions. Efficacy was assessed based on changes in wart size and skin lines under a dermoscope. Pain degrees and adverse reactions were recorded, and patients were followed up for 6 months after the end of treatment. Chi-square test was used to compare the cure rates, recurrence rates, and incidence rates of adverse reactions between the two groups. Logistic regression analysis was employed to identify factors related to the clearance of palmoplantar warts.Results:A total of 160 patients with palmoplantar warts were included, with 80 patients in each group. In the needle-free injection group, there were 45 females (56.2%) and 35 males (43.8%) ; their ages ( M[ Q1, Q3]) were 27 (23, 40) years, and the duration of disease ( M[ Q1, Q3]) was 12 (3, 24) months; warts were located on the hands in 12 cases (15.0%), on the feet in 60 cases (75.0%), and on both sites in 8 cases (10.0%) ; warts measuring ≤ 1 cm in diameter were observed in 71 cases (88.8%), and those measuring > 1 cm were observed in 9 cases (11.3%). In the needle-based injection group, there were 37 females (46.2%) and 43 males (53.8%) ; their ages were 28 (22, 39) years, and the duration of disease was 6 (2, 12) months; warts were located on the hands in 23 cases (28.7%), on the feet in 55 cases (68.8%), and on both sites in 2 cases (2.5%) ; warts measuring ≤ 1 cm in diameter were observed in 67 cases (83.8%), and those measuring > 1 cm in diameter were observed in 13 cases (16.3%). There were no significant differences in gender distribution, age, wart diameters, prior treatment status, or number of warts between the two groups (all P > 0.05). The duration of disease was longer in the needle-free injection group than in the needle-based injection group ( P = 0.041), and the dose of interferon was lower in the needle-free injection group than in the needle-based injection group ( P < 0.001). After treatment, 44 patients (55.0%) were cured in the needle-free injection group, and 39 (48.8%) in the needle-based injection group, with no significant difference in the cure rates between the two groups ( χ2 = 0.63, P = 0.429). Among patients with multiple warts, 54.8% (23/42) were cured in the needle-free injection group, and 47.4% (18/38) in the needle-based injection group, with no significant difference in cure rates between the two groups ( χ2 = 1.28, P = 0.509). The most common adverse reaction was fever or flu-like symptoms (186 instances), which resolved spontaneously in 141 instances and resolved after treatment with oral ibuprofen in 45 instances; the incidence rate of flu-like symptoms was significantly lower in the needle-free injection group (57 instances, 21.6%) than in the needle-based injection group (129 instances, 53.3%; χ2 = 54.63, P < 0.001). The pain score was significantly lower in the needle-free injection group (3.65 ± 1.25 points) than in the needle-based injection group (5.16 ± 1.17 points, t = -7.90, P < 0.001). The logistic regression analysis showed that the duration of disease, lesion sites, patient age, and previous treatment history had no impact on the efficacy in either the needle-free injection group or the needle-based injection group (all P > 0.05) . Conclusions:The efficacy of needle-free and needle-based injections of interferon was similar in the treatment of palmoplantar warts, whereas needle-free injections resulted in less pain and a lower incidence of interferon-related adverse reactions. None of the duration of disease, lesion sites, patient age, or prior treatment status showed significant impact on the efficacy in the two groups.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.