Non-small cell lung cancer is one of the cancers with the highest incidence and mortality rate in the world, and precise prognostic models can guide clinical treatment plans. With the continuous upgrading of computer technology, deep learning as a breakthrough technology of artificial intelligence has shown good performance and great potential in the application of non-small cell lung cancer prognosis model. The research on the application of deep learning in survival and recurrence prediction, efficacy prediction, distant metastasis prediction, and complication prediction of non-small cell lung cancer has made some progress, and it shows a trend of multi-omics and multi-modal joint, but there are still shortcomings, which should be further explored in the future to strengthen model verification and solve practical problems in clinical practice.

ObjectiveThis study aimed to evaluate the clinical efficacy of Ruyi Zhenbaowan（RYZBW）in the treatment of initial and early knee osteoarthritis （KOA） through a prospective multicenter，randomized，double-blind，and placebo-parallel controlled trial. MethodFrom October 13^th， 2021 to December 25^th， 2021， 240 KOA subjects meeting the acceptance criteria were enrolled in 15 sub-centers including Wangjing Hospital， Chinese Academy of Chinese Medical Sciences， and they were randomly divided into observation group and control group， with 120 cases in each group. The intervention measures for the observation group were RYZBW + health education， and the intervention measures for the control group were RYZBW placebo + health education. The intervention period in both groups was four weeks， and they were followed up for four weeks after the intervention. The primary outcome measure was the total score of Western Ontario and McMaster University Osteoarthritis Index score （WOMAC score）， and the secondary outcome measures were the response rate of visual scale （VAS） pain score， WOMAC sub item scores （joint pain， joint stiffness， and joint function）， quality of life （SF-12） score， and traditional Chinese medicine （TCM） syndrome score. Result（1） Efficacy evaluation. The marginal model results showed that the observation group was better than the control group in improving the WOMAC total score and WOMAC pain score in the treatment of KOA with RYZBW， and the difference was statistically significant （P<0.05）. There was no significant difference between the two groups in improving VAS score response rate， WOMAC function score， WOMAC stiffness score， SF12-PCS （quality of life-physical health） score， SF12-MCS （quality of life-mental health） score， and TCM syndrome score. （2） Subgroup analysis. ① In terms of VAS score response rate， the response rate of the observation group was higher than that of the control group for subjects with baseline VAS score of （4， 5］， and the difference was statistically significant （P<0.05）. ② In terms of TCM syndrome score， for subjects aged ［56， 60］ and ［61， 65］， the decrease in total TCM syndrome score in the observation group was better than that in the control group， and the difference was statistically significant （P<0.05）. ConclusionTibetan medicine RYZBW has good clinical efficacy in improving WOMAC total score， VAS score response rate， WOMAC pain score， WOMAC function score， and TCM syndrome score for patients with initial and early KOA， which can fill the lack of Tibetan medicine RYZBW in the treatment of KOA and make a demonstration study for the inheritance and development of ethnic medicine.

Objective:To explore the efficacy of subcutaneous injection of granulocyte-macrophage colony-stimulating factor (GM-CSF) in preventing invasive fungal disease (IFD) in patients with multiple myeloma (MM).Methods:The clinical data of 222 patients who were admitted to the Second Hospital of Harbin Medical University from January 2015 to June 2021 were retrospectively analyzed. The patients was given GM-CSF (3-5 μg·kg -1·d -1, GM-CSF group) or granulocyte colony-stimulating factor (G-CSF, 2-5 μg·kg -1·d -1, G-CSF group) when neutrophils (ANC) ≤1.5×10 9/L after induction chemotherapy. Patients were discontinued when white blood cell count (WBC) ≥10.0×10 9/L. The incidence of IFD (including confirmed, clinical and proposed diagnosis) and breakthrough invasive fungal infections was compared between the two groups. Results:The incidence of IFD was 8.1% (18/222) in all patients. The incidence of IFD was 3.5% (3/85) and 10.9% (15/137) in the GM-CSF and G-CSF groups, respectively, and the difference between the two groups was statistically significant ( χ2 = 3.88, P = 0.049). In 9 patients of GM-CSF group receiving fungal infection prophylaxis and in 15 patients of G-CSF group receiving fungal infection prophylaxis, the incidence of breakthrough invasive fungal infections was 0 and 7 cases, respectively, and the difference between the two groups was statistically significant ( P = 0.022). Conclusions:GM-CSF application in MM patients can reduce the incidence of IFD and breakthrough invasive fungal infections.

Outpatient information management system is an important part of hospital information system,which plays an important role in hospital management,patient treatment,medical insurance reimbursement and settlement.This study integrated the application modes of big data,cloud computing,Internet of things and other cutting-edge technologies of artificial intelligence,focused on the intelligent decision support and whole-process simplified management of the diagnosis and treatment behavior of clinical TCM physicians,and developed a cloud intelligent TCM outpatient system for primary medical care.The system has intelligent medical functions such as intelligent prescription monitoring driven by the rule engine and intelligent recommendation of traditional Chinese medicine knowledge.It seamlessly connects with the intelligent four-diagnosis instrument for information collection and medical order input,and realizes the cloud storage,computing,distribution,management,service and outpatient process,multi-directional and convenient management mode.

Objective:To anylyze the combination rule of prescriptions containing Cmnamomi Mmulus in the book of Treatise on Typhoid and Miscellaneous Diseases based on tree analysis algorith method. Methods:By collecting prescriptions contain Cmnamomi Mmulus in the book of Treatise on Typhoid and Miscellaneous Diseases, and applying the tree analysis algorithm method on the Ancient and Modern Medical Case Cloud Platform to co-occurrence calculate each layer of the prescriptions, we got the hierarchical tree structure diagram of Cmnamomi Mmulus prescriptions. Results:79 prescriptions containing 96 medicines were included, which appeared 529 times, with 7 different functions. The medicines that are frequently appeared include Cmnamomi Mmulus, Glycyrrhizae Radix Et Rhizoma Praeparata Cum Melle, Zingiberis Rhizoma Recens, Jujubae Fructus, etc. The main effects include relieving the exterior, warming the meridians, warming yang and promoting diuresis. The tree structure diagram of the prescription is divided into seven layers, including the largest items of Cmnamomi Mmulus, Glycyrrhizae Radix Et Rhizoma Praeparata Cum Melle,Zingiberis Rhizoma Recens, Jujubae Fructus, Paeoniae Radix Alba, Ephedrae Herba, Puerariae Lobatae Radix, and the collateral drugs of Poria, Atractylodis macrocephalae rhizoma, Alismatis Rhizoma, Zingiberis Rhizoma, etc. Conclusion:The formula tree analysis algorithm can connect the correlation between drugs in series, and show the relationship between a series of high-frequency co-occurrence drugs in the formula, which can be used for the learning of classics.

The vagina contains at least a billion microbial cells,dominated by lactobacilli.Here we perform metagenomic shotgun sequencing on cervical and fecal samples from a cohort of 516 Chinese women of reproductive age,as well as cervical,fecal,and salivary samples from a second cohort of 632 women.Factors such as pregnancy history,delivery history,cesarean section,and breastfeeding were all more important than menstrual cycle in shaping the microbiome,and such information would be necessary before trying to interpret differences between vagino-cervical micro-biome data.Greater proportion of Bifidobacterium breve was seen with older age at sexual debut.The relative abundance of lactobacilli especially Lactobacillus crispatus was negatively associated with pregnancy history.Potential markers for lack of menstrual regularity,heavy flow,dysmenor-rhea,and contraceptives were also identified.Lactobacilli were rare during breastfeeding or post-menopause.Other features such as mood fluctuations and facial speckles could potentially be predicted from the vagino-cervical microbiome.Gut and salivary microbiomes,plasma vitamins,metals,amino acids,and hormones showed associations with the vagino-cervical microbiome.Our results offer an unprecedented glimpse into the microbiota of the female reproductive tract and call for international collaborations to better understand its long-term health impact other than in the settings of infection or pre-term birth.

Objective:To investigate the clinical efficacy of budesonide formoterol combined with tiotropium bromide in the treatment of asthma chronic obstructive pulmonary disease(COPD) overlap (ACO).Methods:From January 2016 to December 2018, 160 ACO patients who met the inclusion criteria in the Department of Respiratory Medicine, Linxi Hospital, Kailuan General Hospitalwere selected as the observation objects.Prospective cohort study was used for observation and analysis.The patients were divided into study group and control group with 80 cases in each group by random number table.Both groups received conventional treatment, on this basis, control group received budesonide and formoterol powder inhalation, 1 inhalation/time, 2 times/d, study group received tiotropium bromide 1 granule/time, once a day based on the control group.Both groups were treated for 12 months.The clinical efficacy, lung function, blood gas analysis, inflammatory factors and T lymphocyte levels were compared between the two groups.Results:The total control rate in study group was 87.5%(70/80), significantly higher than that in control group (70.0%(56/80)), the difference was statistically significant (χ 2=7.32, P<0.05). After treatment, the asthma control test (ACT) scores in both groups increased significantly, while ACT scores in study group((23.12±3.12) point )was significantly higher than that in control group ((20.45±4.28) point, t=4.51, P<0.05). After treatment, the COPD assessment test (CAT) scores in both groups decreased significantly, while CAT scores in study group ((14.25±3.03) point ) was significantly lower than that in control group ((18.69±3.52) point, t=8.55, P<0.05). After treatment, the forced expiratory volume in 1s (FEV1), FEV1%, FEV1 /Forced vital capacity (FEV1/ FVC) and Inspiratory capacity / total lung capacity (IC/TLC) levels in both groups increased significantly, while FEV1((2.20±0.47)L), FEV1%((68.62±7.89)%), FEV1/ FVC((67.63±7.59)%)and IC/TLC levels(48.84±4.86)%) in study group were significantly higher than those in control group ((1.93±0.49)L, (61.88±7.65)%, (62.88±8.41)%, (43.22±5.15)%)(t value were 3.56, 5.49, 3.75, 7.10, all P<0.05). After treatment, the level of partial pressure of oxygen (PaO 2) in both groups increased significantly, while PaO 2 level in study group((78.12±6.45) mmHg) was significantly higher than that in control group ((72.45±7.52) mmHg)( t=5.12, P<0.05). After treatment, the arterial partial pressure of carbon dioxide (PaCO 2) level in both groups decreased significantly, while PaCO 2 level in study group((46.73±7.13) mmHg) was significantly lower than that in control group((49.81±8.02) mmHg) ( t=2.57, P<0.05). After treatment, the levels of IL-6, hs CRP and TNF-α in the two groups were decreased significantly, while IL-6, hs-CRP and TNF-α levels in study group((15.35±6.72) ng/L, (18.14±7.62) mg/L, (56.84±4.92) ng/L) were significantly lower than those in control group((21.42±5.35) ng/L, (23.35±8.64) mg/L, (69.45±8.51) ng/L) (t value were 6.32, 4.05, 11.47, all P<0.05). After treatment, the levels of CD4 + and CD4 +/CD8 + levels in both groups increased significantly, while CD4 + and CD4 +/CD8 + levels in study group((44.20±6.02)%, (1.82±0.31)) were significantly higher than those in control group((38.52±5.56)%, (1.43±0.29)) ( t=6.20, 8.22, all P<0.05). CD8 + level in both groups decreased significantly, while CD8 + level in study group((23.62±7.89)%) was significantly lower than that in control group((27.42±7.65)%)( t=3.09, P<0.05). Conclusion:Budesonide and formoterol combined with tiotropium bromide in the treatment of ACO has good clinical efficacy, reduce the level of inflammation, relieve the clinical symptoms of COPD and asthma, improve the respiratory function and lung function of patients, and have a good effect on improving the cellular immune function.

Objective:to analyze the distribution characteristics of major enteropathogens in infectious diarrhea cases attending the intestinal outpatient clinic of Beijing Traditional Chinese medicine hospital, Capital Medical University.Methods:From 2016 to 2019, 588 fecal samples of patients with infectious diarrhea in Beijing Hospital of traditional Chinese Medicine Affiliated to Capital Medical University were collected for microbial isolation, culture, identification and pathogen gene detection. Using VITEK 2 compact full-automatic microbial identification/drug sensitivity analysis system to identify the bacteria isolated from the culture; using serum agglutination test to classify the pure colonies; using multiple fluorescence quantitative PCR amplification technology to detect the gene amplification of the samples.Results:In 2016-2019, the total physical examination rate of pathogen was 39.796%. The top three pathogen were diarrhea Escherichia coli (21.769%, n=128), Salmonella (5.782%, n=34), Vibrio (4.762%, n=28). The difference of positive rates of different pathogens in four years was statistically significant ( P=0.021), and the peak of incidence was from July to September. The positive rate of norovirus was 5.612% ( n=33), and the highest incidence occurred in May. Conclusion:The pathogen of infectious diarrhea patients in Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University from April to October 2016-2019 is mainly diarrhea Escherichia coli, and the pathogen type of norovirus is GⅡ genome.

Objective:to analyze the distribution characteristics of major enteropathogens in infectious diarrhea cases attending the intestinal outpatient clinic of Beijing Traditional Chinese medicine hospital, Capital Medical University.Methods:From 2016 to 2019, 588 fecal samples of patients with infectious diarrhea in Beijing Hospital of traditional Chinese Medicine Affiliated to Capital Medical University were collected for microbial isolation, culture, identification and pathogen gene detection. Using VITEK 2 compact full-automatic microbial identification/drug sensitivity analysis system to identify the bacteria isolated from the culture; using serum agglutination test to classify the pure colonies; using multiple fluorescence quantitative PCR amplification technology to detect the gene amplification of the samples.Results:In 2016-2019, the total physical examination rate of pathogen was 39.796%. The top three pathogen were diarrhea Escherichia coli (21.769%, n=128), Salmonella (5.782%, n=34), Vibrio (4.762%, n=28). The difference of positive rates of different pathogens in four years was statistically significant ( P=0.021), and the peak of incidence was from July to September. The positive rate of norovirus was 5.612% ( n=33), and the highest incidence occurred in May. Conclusion:The pathogen of infectious diarrhea patients in Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University from April to October 2016-2019 is mainly diarrhea Escherichia coli, and the pathogen type of norovirus is GⅡ genome.

With the rapid development of science and technology, more creative methods have been applied to the inheritance mode of traditional Chinese medicine, such as studying the inheritance process of famous doctorsin an objective and rigorous way. The bottleneck of information transmission from famous doctors is to collect data, process data, apply algorithms, analyze and summarize data. The integration of artificial intelligence and big data deep learning algorithm knowledge mapping technology and other technical methods has brought technological innovation for the inheritance of famous doctors. With such development, the team of the research center of TCM grand health intelligence, Institute of Information on Chinese Medicine, China Academy of Chinese Medical Science, has carried out a series of professional application system research in the field of traditional Chinese medicine, centering on the planning and inheritance of famous doctors. We developed the ancient and modern medical case cloud platform, medical big data analysis platform, cloud medical APP, and famous doctor inheritance workstation. In such way, the problems were solved of low efficiency of medical case collection and the lack of objective data support and information barriers in the experience summary of famous doctors. The artificial intelligence techniques are to promote the inheritance of famous doctors' experience and improve the teaching ability and efficiency.