The diagnosis of hematological disorders is currently established from the combined results of different tests, including those assessing morphology (M), immunophenotype (I), cytogenetics (C), and molecular biology (M) (collectively known as the MICM classification). In this workflow, most of the results are interpreted manually (i.e., by a human, without automation), which is expertise-dependent, labor-intensive, time-consuming, and with inherent interobserver variability. Also, with advances in instruments and technologies, the data is gaining higher dimensionality and throughput, making additional challenges for manual analysis. Recently, artificial intelligence (AI) has emerged as a promising tool in clinical hematology to ensure timely diagnosis, precise risk stratification, and treatment success. In this review, we summarize the current advances, limitations, and challenges of AI models and raise potential strategies for improving their performance in each sector of the MICM pipeline. Finally, we share perspectives, highlight future directions, and call for extensive interdisciplinary cooperation to perfect AI with wise human-level strategies and promote its integration into the clinical workflow.

High mobility group box 1 (HMGB1), when released extracellularly, plays a pivotal role in the development of spinal cord synapses and exacerbates autoimmune diseases within the central nervous system. In experimental autoimmune encephalomyelitis (EAE), a condition that models multiple sclerosis, the levels of extracellular HMGB1 and interleukin-33 (IL-33) have been found to be inversely correlated. However, the mechanism by which IL-33 deficiency enhances HMGB1 release during EAE remains elusive. Our study elucidates a potential signaling pathway whereby the absence of IL-33 leads to increased binding of P300/CBP-associated factor with HMGB1 in the nuclei of astrocytes, upregulating HMGB1 acetylation and promoting its release from astrocyte nuclei in the spinal cord of EAE mice. Conversely, the addition of IL-33 counteracts the TNF-α-induced increase in HMGB1 and acetylated HMGB1 levels in primary astrocytes. These findings underscore the potential of IL-33-associated signaling pathways as a therapeutic target for EAE treatment.
Animals ; Encephalomyelitis, Autoimmune, Experimental/metabolism* ; Astrocytes/metabolism* ; Interleukin-33/metabolism* ; HMGB1 Protein/metabolism* ; Acetylation ; Mice, Knockout ; Mice, Inbred C57BL ; p300-CBP Transcription Factors/metabolism* ; Mice ; Spinal Cord/metabolism* ; Cells, Cultured ; Female ; Signal Transduction

Objective To understand the latent profiles of kinesiophobia in kidney transplant recipients and explore the influencing factors of different profiles.Methods A cross-sectional study was conducted on 230 kidney transplant recipients subjected with convenient sampling from Department of Nephrology,the First Affiliated Hospital of Army Medical University from November 2024 to February 2025.General Information Questionnaire,Tampa Scale of Kinesiophobia-11(TSK-11),Exercise Compliance Questionnaire,Fatigue Scale-14(FS-14),Patient Health Questionnaire-9(PHQ-9)and Chinese Version of the Self-Efficacy to Manage Chronic Disease Scale(C-SEMCD)were used for investigation and latent profile analysis.Univariate analysis and logistic regression analysis were applied to explore the influencing factors of different profiles.Results Kinesiophobia in the participants was classified into 3 latent profiles:fearless movement type-low kinesiophobia group(54 cases,23.48%),cautious movement type-moderate kinesiophobia group(98 cases,42.61%),and resistant movement type-high kinesiophobia group(78 cases,33.91%).Statistical differences were observed among the 3 groups in terms of age,education level,post-operative duration,depression score,fatigue score,and self-efficacy score of chronic disease management(P<0.05).Logistic regression analysis showed that age(OR=8.82,95%CI:1.27～61.10),education level[junior high school or below(OR=0.14,95%CI:0.04～0.50);technical secondary school or senior high school(OR=0.08,95%CI:0.02～0.27)],post-operative duration[<1 year(OR=11.39,95%CI:2.53～51.30);1-5 years(OR=11.05,95%CI:2.48～49.22)],fatigue(OR=1.32,95%CI:1.10～1.59),and depression(OR=1.53,95%CI:1.19～1.98)were influencing factors for resistant movement type-high kinesiophobia in the kidney transplant recipients.Education level(technical secondary school or senior high school:OR=0.32,95%CI:0.12-0.86)and self-efficacy of chronic disease management(OR=0.95,95%CI:0.90-1.00)were influencing factors for cautious movement type-moderate kinesiophobia in the recipients.Conclusion Kinesiophobia in kidney transplant recipients can be classified into 3 latent profiles.Recipients'age,education level,post-operative duration,fatigue,and depression are influencing factors for the resistant movement type-high kinesiophobia,and education level and chronic disease management self-efficacy are important influencing factors for the cautious movement type-moderate kinesiophobia.

Medical education is the cornerstone of the development of health care.In the context of advance-ments in New Medical Science,the Second Hospital of Jilin University took the reform of the school's clinical medi-cal education system as an opportunity to strengthen the teaching quality assurance capabilities,focus on improving teachers'teaching capabilities,and pay attention to the quality of student training,thus comprehensively building a new pattern of innovative development of medical education.It was also proposed that university-affiliated hospitals should focus on the overall national strategic plan for medical education development and deepen medical education reform,use artificial intelligence to lead the innovative development of medical education,and use the construction of new-era textbooks as the carrier of medical education innovation to promote deeper reforms in medical education.

Medical education is the cornerstone of the development of health care.In the context of advance-ments in New Medical Science,the Second Hospital of Jilin University took the reform of the school's clinical medi-cal education system as an opportunity to strengthen the teaching quality assurance capabilities,focus on improving teachers'teaching capabilities,and pay attention to the quality of student training,thus comprehensively building a new pattern of innovative development of medical education.It was also proposed that university-affiliated hospitals should focus on the overall national strategic plan for medical education development and deepen medical education reform,use artificial intelligence to lead the innovative development of medical education,and use the construction of new-era textbooks as the carrier of medical education innovation to promote deeper reforms in medical education.

Liver cancer is one of the most common cancers,and its common surgical treatment methods include tran-scatheter arterial chemoembolization,radiofrequency ablation,and liver transplantation surgery.However,the treatment effect of these surgeries on patients with mid-to late-stage liver cancer is not ideal.In recent years,with the continuous development of tumor gene therapy and tumor immunology,tumor treatment methods have transitioned from traditional models to targeted onco-lytic virus therapy.With the advantages of fast replication,the oncolytic virus can kill tumor cells without damaging other normal cells and realize the targeted treatment of liver cancer through mechanisms such as activating the immune system and improving the tumor microenvironment.In addition,immunotherapy can reduce tumor recurrence and metastasis,thereby exerting therapeutic effects on liver cancer.This article reviews the research progress of oncolytic virus and immunotherapy for liver cancer,aiming to provide a reference for the clinical treatment of liver cancer.

Medical education is the cornerstone of the development of health care.In the context of advance-ments in New Medical Science,the Second Hospital of Jilin University took the reform of the school's clinical medi-cal education system as an opportunity to strengthen the teaching quality assurance capabilities,focus on improving teachers'teaching capabilities,and pay attention to the quality of student training,thus comprehensively building a new pattern of innovative development of medical education.It was also proposed that university-affiliated hospitals should focus on the overall national strategic plan for medical education development and deepen medical education reform,use artificial intelligence to lead the innovative development of medical education,and use the construction of new-era textbooks as the carrier of medical education innovation to promote deeper reforms in medical education.

Medical education is the cornerstone of the development of health care.In the context of advance-ments in New Medical Science,the Second Hospital of Jilin University took the reform of the school's clinical medi-cal education system as an opportunity to strengthen the teaching quality assurance capabilities,focus on improving teachers'teaching capabilities,and pay attention to the quality of student training,thus comprehensively building a new pattern of innovative development of medical education.It was also proposed that university-affiliated hospitals should focus on the overall national strategic plan for medical education development and deepen medical education reform,use artificial intelligence to lead the innovative development of medical education,and use the construction of new-era textbooks as the carrier of medical education innovation to promote deeper reforms in medical education.

Medical education is the cornerstone of the development of health care.In the context of advance-ments in New Medical Science,the Second Hospital of Jilin University took the reform of the school's clinical medi-cal education system as an opportunity to strengthen the teaching quality assurance capabilities,focus on improving teachers'teaching capabilities,and pay attention to the quality of student training,thus comprehensively building a new pattern of innovative development of medical education.It was also proposed that university-affiliated hospitals should focus on the overall national strategic plan for medical education development and deepen medical education reform,use artificial intelligence to lead the innovative development of medical education,and use the construction of new-era textbooks as the carrier of medical education innovation to promote deeper reforms in medical education.

Medical education is the cornerstone of the development of health care.In the context of advance-ments in New Medical Science,the Second Hospital of Jilin University took the reform of the school's clinical medi-cal education system as an opportunity to strengthen the teaching quality assurance capabilities,focus on improving teachers'teaching capabilities,and pay attention to the quality of student training,thus comprehensively building a new pattern of innovative development of medical education.It was also proposed that university-affiliated hospitals should focus on the overall national strategic plan for medical education development and deepen medical education reform,use artificial intelligence to lead the innovative development of medical education,and use the construction of new-era textbooks as the carrier of medical education innovation to promote deeper reforms in medical education.