This article focuses on the application of artificial intelligence in clinical hematology laboratory teaching. By analyzing the current situation of clinical hematology test teaching and combining the advantages of artificial intelligence technology, this paper explores its application prospects in clinical hematology laboratory teaching from multiple perspectives, such as case library construction, atlas resource library construction, virtual simulation training, auxiliary teaching, and clinical thinking training, and analyzes the possible problems of artificial intelligence in teaching practice.

Blood cell morphology examination is the foundation and important means of diagnosing blood diseases. Artificial intelligence (AI) assisted blood cell morphology examination compensates for the shortcomings of artificial microscopy in the early detection and diagnosis of blood diseases,improves diagnostic efficiency,accuracy,and sensitivity,greatly reduces labor and time costs,significantly improves medical quality,and promotes personalized health care. Traditional manual microscopy is still the standard method in clinical practice in China. In order to encourage the improvement and development of intelligence-assisted blood cell morphology examination,this article discusses the current situation and characteristics of intelligence-assisted blood cell morphology examination. Considering the standardization,database,and ethical issues of automated blood cell morphology analysis,some challenges and limitations are summarized and analyzed,which can support the diagnosis of blood diseases and assist researchers and clinical doctors in the future.

Objective:To analyze the gene mutation spectrum of children with T-acute lymphoblastic leukemia (T-ALL) using next generation sequencing technology and to evaluate the value of gene mutations in prognosis stratification.Methods:A case series analysis was made.The clinical data of newly diagnosed pediatric T-ALL patients in the First Affiliated Hospital of Zhengzhou University from January 1, 2019 to February 29, 2024 were analyzed retrospectively.T-ALL gene mutations were analyzed.The relationships of gene mutations with clinical features and induction of responses to therapy were studied.The effects of gene mutations on overall survival (OS) and event-free survival (EFS) were examined by the Kaplan-Meier method and COX regression model.Results:A total of 80 newly diagnosed pediatric T-ALL patients were enrolled in the study, with a male-to-female ratio of 3.4∶1.0 and a median age of 8 (range, 2-17) years.A total of 57 mutations were detected in 74 patients, 46.2% (37/74) of whom showed 3 or more gene mutations.The coexistence of mutated genes was obvious. PTEN mutations were more prevalent in male patients ( P=0.018).Initial leukocyte counts were higher in patients with PTEN mutations ( P=0.038) and lower in patients with JAK3 mutations ( P=0.002).Patients with NOTCH1 mutations had a higher positive rate of fusion genes ( P=0.043).Patients with PTEN mutations had a higher rate of minimal residual disease(MRD) remission after 15/19 d of treatment with induction therapy, respectively ( P=0.013).The rate of MRD remission after 33/46 d of treatment with induction therapy was higher in patients with the FBXW7 mutation ( P=0.004) and lower in patients with JAK3 mutations ( P=0.003).Multifactorial COX regression analysis showed that IL7R mutation and three or more gene mutations were independent risk factors for OS and EFS in T-ALL patients(OS: HR=3.252, 7.357, 95% CI: 1.020-10.372, 1.646-32.882; EFS: HR=3.372, 3.009, 95% CI: 1.234-9.214, 1.174-7.708; all P<0.05). Conclusions:Gene mutations are prevalent in T-ALL children and correlate with clinical manifestations and prognosis.The coexistence of mutated genes is obvious.Pediatric T-ALL patients with IL7R mutations and three or more gene mutations have a poorer prognosis.

The HDAs (a subfamily of histone deacetylases), a class of Zn²⁺-dependent histone deacetylases, are highly homologous to the reduced potassium dependency 3 (RPD3) in yeast. HDAs extensively regulate chromosome stability, gene transcription, and protein activity by catalyzing the removal of acetyl group from histone and non-histone lysine residues. HDA-mediated deacetylation is essential for plant growth, development, and responses to abiotic stress. We review the research progress in HDAs regarding the discovery, structures, classification, deacetylation process, and roles in regulating plant responses to abiotic stress. Furthermore, this paper prospects the future research on HDAs, aiming to provide theoretical support for the research on epigenetic regulation mediated by HDAs.
Histone Deacetylases/classification* ; Zinc/metabolism* ; Stress, Physiological/physiology* ; Plants/genetics*

The exploration and pilot studies of applying blockchain to drug supply chain show great potential in promoting information sharing, collaboration competence among the actors, regulatory efficiency, and etc. In the future, with the help of blockchain, the optimization of the entire supply chain for orphan drugs is expected to be realized. However, there is no such exploration in China at present. This paper systematically sorts out the whole process of supply chain for orphan drugs and the existing problems of the chain. The article concludes that at present, blockchain is mainly used in the " circulation" and " use" of the drug supply chain. It helps to improve the traceability of drugs, to cope with the problem of counterfeit drugs, to enable actors of the drug supply chain to form a collaborative network in optimizing resource allocation, and to improve the operation and supervision efficiency of the supply chain. In the future, the application faces challenges such as high costs in system conversion, lack of personnel awareness, and incomplete supporting systems. Based on the three dimensions of technology, practice, and research, this paper also looks into the future and suggests for the future use of blockchain in the supply chain of orphan drugs by constructing a practice model, the so called DI-GIVE (Digital, Intelligence, Government′s supervision, Innovation, Views of variety, Evaluation-based) hoping to innovate the supply chain of orphan drugs and to ensure the drug use for the patients with rare diseases in China.

Background The Inner Mongolia Autonomous Region is a vast area with a wide array of ecological environments, resulting in considerable regional variations in air pollution characteristics. Current research is limited by a scarcity of systematic, region-wide studies and risk assessments. Objective To assess the health risks associated with inhalation exposure to nine heavy metal and metalloid elements in atmospheric fine particulate matter (PM_2.5) for the population of the Inner Mongolia Autonomous Region. Methods From the 10th to the 16th of each month throughout 2023, atmospheric PM_2.5 samples were collected at designated monitoring sites in 12 leagues (cities) across the Inner Mongolia Autonomous Region to analyze the characteristics and trends in concentration. The health risk assessment model developed by the United States Environmental Protection Agency was employed to evaluate both the non-carcinogenic and carcinogenic risks associated with the heavy metal elements beryllium (Be), cadmium (Cd), chromium (Cr), hydrargyrum (Hg), plumbum (Pb), manganese (Mn), and nickel (Ni) and the metalloid elements stibium (Sb) and arsenic (As). Results In 2023, a total of 1206 valid PM_2.5 samples were analyzed from the Inner Mongolia Autonomous Region. The annual average PM_2.5 concentrations in Inner Mongolia, as well as in the cities of Ordos, Wuhai, and the Alxa League, all exceeded the national limit of 35 μg·m⁻³. The PM_2.5 concentrations across the leagues (cities) exhibited a clear seasonal variation, peaking in winter, followed by spring, and reaching a minimum in summer and autumn. The median PM_2.5 concentration in Ordos throughout the year was higher than that in the other leagues (cities) of the region. Concerning health risks, the non-carcinogenic risks associated with the 9 elements detected in each league (city) were all below 1, indicating acceptable levels. However, the non-carcinogenic risk values for Mn, Cr, and As were relatively high; specifically, Ordos City displayed the highest non-carcinogenic risk values for Mn (7.74×10⁻¹) and Cr (2.97×10⁻²), while Chifeng City recorded the highest value for As (2.34×10⁻³). The carcinogenic risk values for As, Cd, Cr, and Ni fell within the range of 1×10⁻⁹ to 1×10⁻⁵, representing an acceptable level. The health risks varied with age, and the elderly residents faced the highest non-carcinogenic and carcinogenic health risks. Conclusion While the carcinogenic and non-carcinogenic risks from heavy metals and metalloids within atmospheric PM_2.5 in the Inner Mongolia Autonomous Region are generally within acceptable limits, the potential risks that Mn, As, and Cr pose to the health of elderly people warrants particular attention, and Ordos and Chifeng cities exhibit notably higher health risks among other areas. It is recommended that regular, long-term monitoring be conducted, taking into account the specific conditions at monitoring sites across each league (city), and that targeted air quality management strategies be implemented to protect public health.

Blood cell morphology examination is the foundation and important means of diagnosing blood diseases. Artificial intelligence (AI) assisted blood cell morphology examination compensates for the shortcomings of artificial microscopy in the early detection and diagnosis of blood diseases,improves diagnostic efficiency,accuracy,and sensitivity,greatly reduces labor and time costs,significantly improves medical quality,and promotes personalized health care. Traditional manual microscopy is still the standard method in clinical practice in China. In order to encourage the improvement and development of intelligence-assisted blood cell morphology examination,this article discusses the current situation and characteristics of intelligence-assisted blood cell morphology examination. Considering the standardization,database,and ethical issues of automated blood cell morphology analysis,some challenges and limitations are summarized and analyzed,which can support the diagnosis of blood diseases and assist researchers and clinical doctors in the future.

Objective:To analyze the gene mutation spectrum of children with T-acute lymphoblastic leukemia (T-ALL) using next generation sequencing technology and to evaluate the value of gene mutations in prognosis stratification.Methods:A case series analysis was made.The clinical data of newly diagnosed pediatric T-ALL patients in the First Affiliated Hospital of Zhengzhou University from January 1, 2019 to February 29, 2024 were analyzed retrospectively.T-ALL gene mutations were analyzed.The relationships of gene mutations with clinical features and induction of responses to therapy were studied.The effects of gene mutations on overall survival (OS) and event-free survival (EFS) were examined by the Kaplan-Meier method and COX regression model.Results:A total of 80 newly diagnosed pediatric T-ALL patients were enrolled in the study, with a male-to-female ratio of 3.4∶1.0 and a median age of 8 (range, 2-17) years.A total of 57 mutations were detected in 74 patients, 46.2% (37/74) of whom showed 3 or more gene mutations.The coexistence of mutated genes was obvious. PTEN mutations were more prevalent in male patients ( P=0.018).Initial leukocyte counts were higher in patients with PTEN mutations ( P=0.038) and lower in patients with JAK3 mutations ( P=0.002).Patients with NOTCH1 mutations had a higher positive rate of fusion genes ( P=0.043).Patients with PTEN mutations had a higher rate of minimal residual disease(MRD) remission after 15/19 d of treatment with induction therapy, respectively ( P=0.013).The rate of MRD remission after 33/46 d of treatment with induction therapy was higher in patients with the FBXW7 mutation ( P=0.004) and lower in patients with JAK3 mutations ( P=0.003).Multifactorial COX regression analysis showed that IL7R mutation and three or more gene mutations were independent risk factors for OS and EFS in T-ALL patients(OS: HR=3.252, 7.357, 95% CI: 1.020-10.372, 1.646-32.882; EFS: HR=3.372, 3.009, 95% CI: 1.234-9.214, 1.174-7.708; all P<0.05). Conclusions:Gene mutations are prevalent in T-ALL children and correlate with clinical manifestations and prognosis.The coexistence of mutated genes is obvious.Pediatric T-ALL patients with IL7R mutations and three or more gene mutations have a poorer prognosis.

This article focuses on the application of artificial intelligence in clinical hematology laboratory teaching. By analyzing the current situation of clinical hematology test teaching and combining the advantages of artificial intelligence technology, this paper explores its application prospects in clinical hematology laboratory teaching from multiple perspectives, such as case library construction, atlas resource library construction, virtual simulation training, auxiliary teaching, and clinical thinking training, and analyzes the possible problems of artificial intelligence in teaching practice.

OBJECTIVE To develop a standard of hierarchical management for patients with chronic obstructive pulmonary disease （COPD） from the perspective of pharmacists. METHODS The triangle hierarchical management model was used as the framework. Through literature research， the indicators of the hierarchical management standard for COPD patients were preliminarily compiled. A questionnaire was designed and administered to 18 experts， and Delphi method was conducted in two rounds to determine the contents of the standard. RESULTS The response rates for both rounds of expert consultation were 100%， with both authority coefficients of experts of 0.903 and Kendall coordination coefficiens of 0.279 and 0.189 for each indicator. The final established standard of hierarchical management for COPD patients included 25 stratified indicators and 17 pharmaceutical hierarchical management indicators. There were 9， 8 and 8 indicators in the high-risk， medium-risk， and stable layers， respectively， considering three aspects： disease， medication， and self-management level. The corresponding first-level， second- level， and third-level pharmaceutical management included 6， 6 and 5 indicators， respectively， including inhalation technical guidance， medication adherence guidance， treatment monitoring， and follow-up， etc. CONCLUSIONS The standard of hierarchical management for COPD patients established by Delphi method is scientific and reliable， which can provide a reference for pharmacists to carry out hierarchical management of COPD patients in China.