Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.

Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T _NANC), time to symptom improvement (T _SI), and time of hospital stay (T _HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T _NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.

Homeostasis and energy and substance metabolism reprogramming shape various tumor microenvironment to sustain cancer stemness, self-plasticity and treatment resistance. Aiming at them, a lipid-based pharmaceutical loaded with CaO₂ and glucose oxidase (GOx) (LipoCaO₂/GOx, LCG) has been obtained to disrupt calcium homeostasis and interfere with glycometabolism. The loaded GOx can decompose glucose into H₂O₂ and gluconic acid, thus competing with anaerobic glycolysis to hamper lactic acid (LA) secretion. The obtained gluconic acid further deprives CaO₂ to produce H₂O₂ and release Ca²⁺, disrupting Ca²⁺ homeostasis, which synergizes with GOx-mediated glycometabolism interference to deplete glutathione (GSH) and yield reactive oxygen species (ROS). Systematical experiments reveal that these sequential multifaceted events unlocked by Ca²⁺ homeostasis disruption and glycometabolism interference, ROS production and LA inhibition, successfully enhance cancer immunogenic deaths of breast cancer cells, hamper regulatory T cells (Tregs) infiltration and promote CD8⁺ T recruitment, which receives a considerably-inhibited outcome against breast cancer progression. Collectively, this calcium homeostasis disruption glycometabolism interference strategy effectively combines ion interference therapy with starvation therapy to eventually evoke an effective anti-tumor immune environment, which represents in the field of biomedical research.

OBJECTIVE To establish a high-performance liquid chromatography method for the simultaneous determination of 14 components including geniposide, mangiferin, baicalin, berberine hydrochloride, wogonoside, baicalein, aloe-emodin, rhein, wogonin, emodin, praeruptorin A, chrysophanol, physcion and praeruptorin B in Qingfei Yihuo tablets. METHODS Titank C18 (250 mm×4.6 mm, 5 μm) column was used; 0.1% phosphoric acid solution(A)-acetonitrile(B) was used as the mobile phase with gradient elution; detection wavelengths: geniposide at 238 nm, aloe-emodin, rhein, emodin, chrysophanol, physcion and mangiferin at 254 nm, berberine hydrochloride at 265 nm, baicalin, wogonoside, baicalein, and wogonin at 280 nm, praeruptorin A and praeruptorin B at 321 nm. The flow rate was 1.0 mL·min−1 and the column temperature was 35 ℃; the injection volume was 10 μL. RESULTS The linear ranges of geniposide, mangiferin, baicalin, berberine hydrochloride, wogonoside, baicalein,aloe-emodin, rhein, wogonin, emodin, praeruptorin A, chrysophanol, physcion and, praeruptorin B were 4.96−223.17, 0.84−42.22, 18.76−938.16, 4.46−223.17, 4.86−243.10, 1.59−79.32, 0.76−38.17, 1.03−51.49, 1.59−79.40, 1.21−60.72, 1.80−90.06, 0.91−45.48, 1.04−51.83 and 0.86−43.23 μg·mL−1, with r all ≥ 0.999 9. The RSDs of instrument precision, stability and reproducibility tests were <3%, and the average recoveries in sample(n=6) were >90%, with the RSDs <3%. CONCLUSION The method is simple and reproducible and can provide a scientific basis for improving the quality standard of Qingfei Yihuo tablets.

The goal of achieving elimination of schistosomiasis across all endemic counties in China by 2030 was proposed in the Outline of the Healthy China 2030 Plan. On June 16, 2023, the Action Plan to Accelerate the Elimination of Schistosomiasis in China (2023—2030) was jointly issued by National Disease Control and Prevention Administration and other 10 ministries, which deployed the targets and key tasks of the national schistosomiasis elimination programme in China. This article describes the progress of the national schistosomiasis control programme, analyzes the opportunities to eliminate schistosomiasis, and proposes targeted recommendations to tackle the challenges of schistosomiasis elimination, so as to accelerate the process towards schistosomiasis elimination and facilitate the building of a healthy China.

Narrative medicine,as an interdisciplinary field at the intersection of humanistic education and medical edu-cation,is an effective means of implementing medical humanities.It not only fosters deeper empathy and communication between doctors and patients but also plays an important role in clinical practice and the cultivation of humanistic qualities.This study starts from the core connotation of integrating narrative medicine into the doctor-patient relationship,focusing on the value logic of narrative medicine empowering humanistic care.Utilizing a typical case from a hospital in Tianjin that practices humanistic care based on narrative medicine,the study examines the organizational structure,practical activities,humanistic care initiatives,health education,supportive measures,and outcomes of the narrative medicine healthcare management team.The conclusion drawn is that exploring mechanisms for medical communication and the cultivation of humanistic qualities can facilitate the mutual transformation of narrative and empathy skills,the organic combination of narrative medicine with evidence-based medicine,and the complementary relationship between clinical medicine and humanistic education.This approach aims to alleviate the increas-ingly prominent conflicts between doctors and patients,bridge the gap between humanity and technology,and promote the imple-mentation of medical humanities in clinical settings.

Purpose/Significance To explore the prospect and challenges of applying artificial intelligence(AI)technology to the training of general practitioners,and to promote the improvement of the treatment level of general practitioners and the intelligent develop-ment of community hospitals.Method/Process The paper analyzes the application status of AI in the medical field,expounds 3 directions of AI application in the field of general medicine,and puts forward countermeasures for challenges.Result/Conclusion Strategies should be adopted to support the open sharing of desensitized clinical medical data,gather experts in the field to build knowledge platforms,and encourage general practitioners to cooperate with research and development teams,so as to promote the application of intelligent systems in general practitioner training and promote the improvement of the quality of primary medical care in China.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To investigate the effect of reactive oxygen species(ROS)/silent information regulator 1(SIRT1)on hyperoxia-induced mitochondrial injury in BEAS-2B cells.Methods The experiment was divided into three parts.In the first part,cells were divided into H0,H6,H12,H24,and H48 groups.In the second part,cells were divided into control group,H48 group,H48 hyperoxia+SIRT1 inhibitor group(H48+EX 527 group),and H48 hyperoxia+SIRT1 agonist group(H48+SRT1720 group).In the third part,cells were divided into control group,48-hour hyperoxia+N-acetylcysteine group(H48+NAC group),and H48 group.The ROS kit was used to measure the level of ROS.Western blot and immunofluorescent staining were used to measure the expression levels of SIRT1 and mitochondria-related proteins.Transmission electron microscopy was used to observe the morphology of mitochondria.Results Compared with the H0 group,the H6,H12,H24,and H48 groups had a significantly increased fluorescence intensity of ROS(P<0.05),the H48 group had significant reductions in the expression levels of SIRT1 protein and mitochondria-related proteins(P<0.05),and the H24 and H48 groups had a significant reduction in the fluorescence intensity of mitochondria-related proteins(P<0.05).Compared with the H48 group,the H48+SRT1720 group had significant increases in the expression levels of mitochondria-related proteins and the mitochondrial aspect ratio(P<0.05),and the H48+EX 527 group had a significant reduction in the mitochondrial area(P<0.05).Compared with the H48 group,the H48+NAC group had a significantly decreased fluorescence intensity of ROS(P<0.05)and significantly increased levels of SIRT1 protein,mitochondria-related proteins,mitochondrial area,and mitochondrial aspect ratio(P<0.05).Conclusions The ROS/SIRT1 axis is involved in hyperoxia-induced mitochondrial injury in BEAS-2B cells.