Objective:To establish a disease risk prediction model for the newborn screening system of inherited metabolic diseases by artificial intelligence technology.Methods:This was a retrospectively study. Newborn screening data ( n=5 907 547) from February 2010 to May 2019 from 31 hospitals in China and verified data ( n=3 028) from 34 hospitals of the same period were collected to establish the artificial intelligence model for the prediction of inherited metabolic diseases in neonates. The validity of the artificial intelligence disease risk prediction model was verified by 360 814 newborns ' screening data from January 2018 to September 2018 through a single-blind experiment. The effectiveness of the artificial intelligence disease risk prediction model was verified by comparing the detection rate of clinically confirmed cases, the positive rate of initial screening and the positive predictive value between the clinicians and the artificial intelligence prediction model of inherited metabolic diseases. Results:A total of 3 665 697 newborns ' screening data were collected including 3 019 cases ' positive data to establish the 16 artificial intelligence models for 32 inherited metabolic diseases. The single-blind experiment ( n=360 814) showed that 45 clinically diagnosed infants were detected by both artificial intelligence model and clinicians. A total of 2 684 cases were positive in tandem mass spectrometry screening and 1 694 cases were with high risk in artificial intelligence prediction model of inherited metabolic diseases, with the positive rates of tandem 0.74% (2 684/360 814)and 0.46% (1 694/360 814), respectively. Compared to clinicians, the positive rate of newborns was reduced by 36.89% (990/2 684) after the application of the artificial intelligence model, and the positive predictive values of clinicians and artificial intelligence prediction model of inherited metabolic diseases were 1.68% (45/2 684) and 2.66% (45/1 694) respectively. Conclusion:An accurate, fast, and the lower false positive rate auxiliary diagnosis system for neonatal inherited metabolic diseases by artificial intelligence technology has been established, which may have an important clinical value.

BACKGROUND/AIMS: Probiotics are expected to confer benefits on patients with constipation, but how probiotics act on constipated patients with variable stool consistencies remains unclear. We investigated the effect of Lactobacillus casei strain Shirota (LcS) on constipation-related symptoms, especially stool consistency, of constipated patients. METHODS: Constipated patients meeting the Rome III criteria were divided into 3 groups according to the Bristol Stool Form Scale (BSFS): hard (hard stool [HS], BSFS < 3), normal (normal stool [NS], ≤ 3 BSFS ≤ 4), and soft (soft stool [SS], 4 < BSFS ≤ 5) stools. Subjects in each group consumed a probiotic beverage containing 1010 colony-forming units of LcS daily for 28 days. RESULTS: LcS intervention significantly alleviated constipation-related symptoms and increased defecation frequency in all subjects. Four weeks of LcS supplementation softened the hard stools in HS, hardened the soft stools in SS, and did not alter the ideal stool consistency in NS. The short-chain fatty acid (SCFA) concentrations were highest in SS, followed by NS and HS. LcS intervention increased the stool SCFA levels in HS but reduced or did not alter the levels in NS and SS. LcS intervention increased the Pseudobutyrivibrio and Roseburia abundances in HS and decreased the Pseudobutyrivibrio abundance in SS. CONCLUSIONS: LcS supplementation improved the constipation-related symptoms in constipated subjects. Differences in baseline stool consistency could result in different anti-constipation effects of LcS intervention. LcS balanced the stool consistency—softened the HS and hardened the SS. These effects could be associated with modulation of the gut microbiota and SCFA production.
Beverages ; China ; Constipation ; Defecation ; Fatty Acids, Volatile ; Gastrointestinal Microbiome ; Humans ; Lactobacillus casei ; Lactobacillus ; Probiotics ; Stem Cells

The study was o investigate the effectiveness of problem-based learning and scenario simulated teaching in Pathological experiment course.Clinical common,multiple cardiovascular diseases related experiments were selected for reform.The case was in advance handed out to the second year students of clinical medicine,stomatology,imaging medicine and otherspecialty,requiring them to complete the data access,group discussion,PPT production,diagnoses and treatment scenarios simulation video shooting tasks.Every group showed their PPT and video in class.They were asked between groups.Summative evaluation was given before class.Curriculum effectiveness questionnaire was issued and recycled,and according to students' performance teacher gave their scores and reward.The study showed that the comprehensive application of the above teaching methods and means could effectively improve students' learning enthusiasm and initiative,cultivate their medical humanistic spirit,and help to improve the teaching quality of pathology experiment.

Background Retinal vein occlusion is a common retinal vascular diseases.Thromblysis and anticoagulation therapies are main approaches.However,systemic thrombolysis is relatively inefficient,and it often enhances the risk of hemorrhage.Objective This study was to investigate the therapeutic effects of PLM-ΔK,a kringle deficiency mutant of plasmin,on photochemically induced branch retinal vein occlusion (BRVO) after intravitreal injection.Methods BRVO models were established by the combination of caudal vein injection of Rose Bengal with argon laser radiation of periphery area of retinal veins in SD rats.Forty model rats were randomized into balance salt solution (BSS) group and 0.01 U,0.02 U,0.03 U PLM-ΔK group,and 10 μl corresponding drug was intravtreally injected 12 hours after modeling.Ophthalmoscopy and fundus fluorescein angiography (FFA) were performed to observe the change of retinal veins.The animals were sacrificed 3 days after intravitreal injection,and hematoxylin and eosin staining was used for the histopathological and ultrastructural examination of retinas.The retina of the rats was isolated for the stretched preparation of retina.The expressions of fibronectin (FN) and laminin (LN) in eyeball wall were assayed by immunofluorescence technology.The use and care of the animals complied with Statement of the Association for Research in Vision and Ophthalmology.Results The revascularization of over 2 retinal veins was found in 0,3,6 and 8 rats in the BBS group and 0.01 U,0.02 U,0.03 U PLM-ΔK group 3 days after intravitreal injection,respectively,showing a significant difference among the groups (x2=9.635,P =0.022),and the rat number with revascularization in 0.01 U PLM-ΔK group was not significantly different from that in BSS group (Z=-1.558,P =0.119),but the difference between 0.03 U PLM-ΔK group and 0.01 U PLM-ΔK group was significant (Z=-2.762,P=0.006).In the third day after intravitreal injection,retinal vein thrombus were found in the BSS group under the light microscope,and angiogenesis was seen on the retinal flatmount nuclear.In the 0.03 U PLM-ΔK group,posterior vitreal detachment was exhibited under the light microcope,and no retinal new vessel and cell damage were seen.FN was strongly expressed in the inner limiting membrane (ILM) layer,photocyte layer,outer limiting membrane (OLM) layer,choroid and scleral layer,and LN was expressed mainly in the ILM,OLM and scleral layer in the BSS group.However,the expression intensities of FN and LN were obviously weakened in the 0.03 U PLM-ΔK group.Conclusions Intravitreal injection of PLM-ΔK can enhance the reperfusion of occluded branch retinal vein and serve as a potential therapeutic drug for BRVO.Also it can permeate into choroid after intravitreal injection to degradate FN and LN.

According to the theory of microscopic system reform in higher education, a total of 927 college students of different majors from Beijing University of Chinese Medicine were investigated by using SIMPP method. It indicated that through promoting the study of self-prepared, learning state and learning effect, students can enhance their learning ability of the admission acceptance. From the perspective of teachers, the students' self-study ability can be fully mobilized using individual person-alized teaching method. Then, the initiative of university education in the teaching and learning can be improved. Ultimately, the efficiency of student learning can be improved.

Interest in learning can not only stimulate students' enthusiasm for learning, but also directly affect the quality of higher education. In this paper, the questionnaire of the related factors of college students' interest was designed to carry out micro-system engineering research. The factors as-sociated with college students' interest in learning and their complex relationships were investigated by using methods of systems science and systems engineering. The results shows that the students who can actively participate in after-school learning discussions , feel good in lectures and have clear learning objectives, are interested in learning. And at the same time, the teacher's influence and his active guidance in classroom teaching will raise students' interest in learning. This study provides a more comprehensive basis and clues to improve students' interest in learning and education reform.

This study was aimed to compare the difference of parameters of texture feature in the transverse section images of the same and different Chinese herbal medicine. A total of 26 parameters of herbal medicines were ex-tracted by gray-level co-occurrence matrix and grayscale gradient matrix. The graph of mutative curve was drawn. And differences of 26 parameters of texture feature in the same and different Chinese herbal medicine were com-pared. The results showed that parameters of texture feature extracted by gray-level co-occurrence matrix and grayscale gradient matrix had similarities and differences in the same and different Chinese herbal medicine. It was concluded that the method can show the texture feature scientifically and quantitatively. It also laid a foundation for the establishment of an automatic identification model, but the parameters still had instability. All these remind us to find some parameters which can show the details of texture feature preferably, thus perfect the extracted method of texture features in Chinese herbal medicine.

This study was aimed to explore the impact of integrality of Chinese herbal medicine on parameters of tex-ture feature in transverse section images. Three Chinese herbal medicine of Semen Arecae, Radix et Rhizoma Rhei and Radix A tractylodis Macrocephalae with different texture features were taken as research materials. Parts of Chi-nese herbal medicine were cut off from the whole by equal proportions. The 26 parameters were extracted by gray-level co-occurrence matrix and grayscale gradient matrix. The similarities and differences of 26 parameters of texture feature in the parts and whole, rectangular and fan-shaped Chinese herbal medicine were compared. The results showed that parameters of Semen A recae and Radix et Rhizoma Rhei with radial or annular texture had better con-sistency in whole and fan-shaped parts. Parameters of Radix A tractylodis Macrocephalae with irregular texture fea-ture were approximately the same in the whole and rectangular parts. It was concluded that whether parameters of texture features in parts Chinese herbal medicine can present the whole were related to its texture feature and the shape of the parts. This study provided the basis for collection of Chinese herbal medicine when sampling images. It also laid a foundation for the extraction of accurate parameter of texture feature.

Digitalization is an important method for the objectification and quantification of quality control on Chi-nese herbal medicine. To solve the problem of texture online visualization of Chinese herbal medicine and the estab-lishment of automatic identification method based on the texture, 12 Chinese herbal medicines were selected to cap-ture the images of their transverse sections. A total of 11 features were extracted from images using Gray-level Co-occurrence Matrix (GLCM) method. Through analyzing the influence of distances and angles between pixels on identi-fication results, it was concluded that when the distance was d = 3 and the angle was ? = 0o, the features extracted were suitable for expressing the texture of the transverse sections. The results indicated the feasibility of establishing the automatic identification method on Chinese herbal medicine based on image of transverse section. It will provide new technologies for the objectification and quantification of identification on Chinese herbal medicine.

Objective To explore the effect of TCM differentiated treatment and nursing on patients with multiple myeloma and blood stasis.Methods Two hundred and thirteen patients with multiple myeloma and blood stasis were managed with TCM differentiated treatment and nursing.The blood-stasis score was compared before the treatment and two curative courses after the treatment.Result The blood-stasis score significantly decreased after treatment(P<0.01).Conclusions TCM differentiated treatment with diet instruction and emotional comfort can improve the symptom of multiple myeloma with blood stasis,promote the life quality of the patients.