Health, Medicine and Therapeutics
type: channel
description: Health, Medicine and Therapeutics ISSN Print: 3079-5079 ISSN Online: 3079-5087
language: en
publication name: Health, Medicine and Therapeutics
issn: 3079-5079
items: Safety and Operability Assessment of a Terminal-Loop Flow Diverter in a Canine Intracranial Aneurysm Model
items: Integrating Digital Health Technologies into Nursing Management: A Framework for Enhancing Patient Safety and Healthcare Efficiency
items: Effectiveness Of Online Health Education (OHE) On Infectious Disease Knowledge And Pregnancy Anxiety In First-Time Pregnant Women During The Post-Pandemic Period
items: Artificial Bionic Blood Vessel and Manufacturing Method
items: The Association Between Professional Burnout and Empathetic Exhaustion Among Emergency Department Nurses: An Intervention Approach Based on the Embeddedness Theory
items: A Literature Review on Factors Influencing Cesarean Section, Postoperative Pain, and Nursing Interventions
items: Research on Speech Rehabilitation Assessment Models Based on Natural Language Processing
items: Structural Biology: Deciphering the Atomic Blueprint of Protein Function
items: MeridianFM: A Causal and Safe Foundation Model for Personalizing Traditional Chinese Medicine Therapies
items: Exploring the Primary Models and Their Efficacy of Health Education in Universities in the Zhanjiang Area During the Post-COVID-19 Era
items: A Study on the Communication of Traditional Chinese Medicine Discourse on YouTube under the National Strategy Background
items: Influence of pregnancy outcome of gestational diabetes mellitus and nursing care
items: Nurses' Chronic Disease Management Competencies And Patient Adherence To Long-Term Treatment Plans
items: A review of the correlation between human papillomavirus (HPV) infection and dysbiosis of the female reproductive tract
items: Research on the application of artificial intelligence technology in modern traditional Chinese medicine assisted consultation and dialectic
items: Scope and Intensity of Local Anesthesia: Evaluat-ing the Optimal Dosage
items: A regional study on nasopharyngeal carcinoma prevention in Guangxi and Guangdong, China
items: The relationship between professional values and caring behaviors of nurses in neonatal intensive care units
items: Selenization Improves Physicochemical Properties, Antioxidant and Anti-glycation Activities of Bamboo Shoot Polysaccharides
items: A Meta-Analysis of Machine Learning Techniques for Predicting Disease Progression in Electronic Health Records

Safety and Operability Assessment of a Terminal-Loop Flow Diverter in a Canine Intracranial Aneurysm Model
type: item
description: Objective: This study aims to evaluate the safety and operability of a self-developed terminal-loop flow diverter following short-term implantation (preoperative, postoperative, and 90-day follow-up) in a beagle intracranial aneurysm model. Specifically, the investigation focuses on whether the device can be delivered, deployed, and visualized effectively during surgery, and whether it induces any adverse effects on coagulation function, histopathology, or general health within the 90-day observation period. Method: The protocol employed a self-controlled design. Six healthy beagles were selected, with the control device implanted in the left carotid artery and the test device implanted in the right carotid artery. Data were collected at three time points: pre-operatively, immediately post-operatively, and 90 days post‑operatively, using methods including digital subtraction angiography, hematological analysis, and histopathological examination. The objective was to evaluate device-related vascular complications, local tissue response, and biocompatibility.All experimental animals were subjected to a self-controlled study design, with angiographic assessments performed preoperatively, immediately postoperatively, and at the study endpoint (90 days post-implantation). Immediate postoperative DSA demonstrated clear fluoroscopic visualization of the device, with successful implantation and deployment and no occurrence of vascular complications; follow-up angiography at 90 days post-implantation confirmed sustained clear device visibility and the absence of vascular complications. Operability was evaluated based on the following parameters recorded during the implantation procedure: overall handling, deployment performance, fluoroscopic visibility, Trackability, Shape retention and Vessel wall apposition. Results: In the 90-day follow-up, all animals survived without serious complications. Immediate and 90-day DSA confirmed clear fluoroscopic visualization of the termin…
subject: Articles
  topic: section
subject: Safety
  topic: keywords
subject: Operability
  topic: keywords
subject: Beagle model
  topic: keywords
subject: Short-term implantation
  topic: keywords
creator: JingBo Liu
creator: GaiPing Zhao
rights: Copyright (c) 2026 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
date: 2026-03-23
publication date: 2026-03-23
starting page: 44
ending page: 55
doi: 10.63313/hmt.9020

Integrating Digital Health Technologies into Nursing Management: A Framework for Enhancing Patient Safety and Healthcare Efficiency
type: item
description: The escalating integration of digital health technologies (DHTs) into healthcare necessitates a strategic approach to nursing management to optimize patient safety and enhance healthcare efficiency. This research addresses the critical need for a comprehensive framework to guide nursing leaders in effectively embedding DHTs, including electronic health records, telehealth, remote patient monitoring, and artificial intelligence, into clinical practice. The study identifies key components and principles for a successful integration framework, analyzes the impact of various DHTs on patient safety indicators and efficiency metrics, and delineates effective implementation and adoption strategies. Utilizing a mixed-methods approach, the research synthesizes existing literature with an analysis of current practices and expert interviews to develop actionable recommendations. Findings highlight the importance of user-centered design, robust nurse training, seamless interoperability, and proactive change management in maximizing DHT benefits while mitigating risks such as data breaches and increased cognitive load. The developed framework provides nursing managers with a structured roadmap for systematically assessing, selecting, implementing, and evaluating DHTs, thereby fostering a culture of continuous improvement and digital innovation. This work contributes to bridging the gap between technological advancements and practical nursing management, offering essential insights for healthcare organizations aiming to leverage digital transformation for improved patient outcomes and operational effectiveness.
subject: Articles
  topic: section
subject: Digital Health Technologies
  topic: keywords
subject: Nursing Management
  topic: keywords
subject: Patient Safety
  topic: keywords
subject: Healthcare Efficiency
  topic: keywords
subject: Framework Development
  topic: keywords
subject: Implementation Strategies
  topic: keywords
creator: Ting OuYang
creator: Minerva B. De Ala
rights: Copyright (c) 2026 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
date: 2026-03-16
publication date: 2026-03-16
starting page: 29
ending page: 43
doi: 10.63313/hmt.9019

Effectiveness Of Online Health Education (OHE) On Infectious Disease Knowledge And Pregnancy Anxiety In First-Time Pregnant Women During The Post-Pandemic Period
type: item
description: Background: The proportion of pregnant women with anxiety-related symptoms during the COVID-19 pandemic increased. Most pregnant women hope to receive online health education (OHE) through hospitals to know more about COVID-19-related knowledge, so as to maintain their health. Purpose: The purpose of this study was to investigate the effectiveness of online health education (OHE) on COVID-19 knowledge and pregnancy anxiety among first-time pregnant women during the post-pandemic period. Methods: A quasi-experimental, non-equivalent group, pre-test and post-test design was adopted. 70 qualified subjects were purposefully recruited from the obstetrics clinic of a tertiary hospital. The experimental group was given OHE online, while the control group only received routine health education from physicians and nurses during prenatal check-ups. Both groups were given the Questionnaire on Knowledge toward COVID-19, Corona Disease Anxiety Scale (CDAS)-Modified before and after the intervention. Result: After OHE, the knowledge of COVID-19 in the experimental group was significantly improved (p≤0.05), and the anxiety during pregnancy was also significantly relieved (p≤0.05). The improvement of pregnancy anxiety in the experimental group was significantly better than that in the control group.
subject: Articles
  topic: section
subject: Online health education
  topic: keywords
subject: post-pandemic period
  topic: keywords
subject: COVID-19 knowledge
  topic: keywords
subject: pregnancy anxiety
  topic: keywords
subject: first-time pregnant women
  topic: keywords
creator: JUNYING XU
creator: ALITA R. CONDE
creator: FRANCISCO OBMERGA
rights: Copyright (c) 2026 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
date: 2026-03-09
publication date: 2026-03-09
starting page: 19
ending page: 28
doi: 10.63313/hmt.9018

Artificial Bionic Blood Vessel and Manufacturing Method
type: item
description: Objective: This study provides an artificial bionic blood vessel and a manufacturing method thereof, which includes a three-layer artificial bionic blood vessel body, wherein the three-layer structure of the artificial bionic blood vessel is a natural silk layer, a diluted liquid silicone layer and a braided tube layer, wherein the diluted liquid silicone layer is located on the inner side of the natural silk layer, and the braided tube layer is located on the outer side of the natural silk layer. Materials and Methods: The braided tube layer is made of catgut braiding. Artificial bionic blood vessels are mainly composed of animal tissues and natural organisms. They will not have side effects on body functions and are easily absorbed by the body. Fish skin glue oligopeptide coatings are distributed at the joints of bionic blood vessels to promote blood vessel regeneration. Discussion: The outermost layer is a superfine catgut braided tube. After a period of artificial blood vessel replacement, the catgut braided tube will be absorbed and covered by the regenerated blood vessels. Conclusion: The material design system that introduces artificial intelligence is different from the traditional, rigid design thinking.
subject: Articles
  topic: section
subject: Artificial bionics
  topic: keywords
subject: vascular regeneration
  topic: keywords
subject: preparation method
  topic: keywords
subject: cardiovascular structure
  topic: keywords
subject: silk weaving
  topic: keywords
creator: HaoWei Ti
creator: Yu Ti
creator: BingChen Li
creator: XiJie Zhao
rights: Copyright (c) 2026 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
date: 2026-03-02
publication date: 2026-03-02
starting page: 11
ending page: 18
doi: 10.63313/hmt.9017

The Association Between Professional Burnout and Empathetic Exhaustion Among Emergency Department Nurses: An Intervention Approach Based on the Embeddedness Theory
type: item
description: Background: Emergency department nurses, operating within a demanding environment, face significant psychological risks, including professional burnout and empathy exhaustion, which often co-occur and exacerbate each other. Current interventions overwhelmingly target individual nurses, such as through resilience training, while neglecting systematic, organizational-level solutions. Objective: This study proposes an organizational intervention framework grounded in Work Embeddedness Theory. By integrating principles from Conservation of Resources Theory and Empathy Cost Theory, it aims to develop a practical pathway for nursing managers to address the dual crises of burnout and empathy depletion at their systemic roots. Method: Employing a theory-driven design, we constructed a core intervention logic: enhancing organizational embeddedness (via connection, matching, and sacrifice) → supplementing psychological resources → improving mental health outcomes. Empathy Cost Theory was specifically incorporated to fortify interventions within the “connection” dimension. Concrete modules, steps, and mechanisms were delineated for each dimension, forming a structured organizational pathway. Results: We developed an integrated intervention pathway featuring three modules and six specific measures: (1) Strengthening Connection (structured buddy systems; post-traumatic debriefings) to build support networks; (2) Optimizing Match (dynamic skill-task alignment; values clarification workshops) to enhance control and meaning; (3) Increasing Sacrifice (tiered honor/benefit systems; visualizing exit costs) to foster commitment. Each measure’s implementation protocol and theoretical rationale are specified. Conclusion: This study provides a theoretically grounded, actionable organizational intervention pathway. It shifts the management paradigm from repairing individuals to designing supportive systems, offering a blueprint for creating work environments that intrinsically protect and …
subject: Articles
  topic: section
subject: burnout
  topic: keywords
subject: empathy fatigue
  topic: keywords
subject: job embeddedness
  topic: keywords
subject: emergency department
  topic: keywords
subject: organizational intervention
  topic: keywords
subject: nursing
  topic: keywords
creator: Qiaomao Yao
rights: Copyright (c) 2026 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
date: 2026-01-22
publication date: 2026-01-22
starting page: 1
ending page: 10
doi: 10.63313/hmt.9016

A Literature Review on Factors Influencing Cesarean Section, Postoperative Pain, and Nursing Interventions
type: item
description: Currently, the cesarean section rate continues to rise globally, with its influencing factors and postoperative health outcomes becoming key focuses of public health and clinical attention. This review aims to systematically examine the status of postoperative incision pain following cesarean delivery, its impact on maternal quality of life, the effectiveness of nursing interventions, and to identify future research directions.
subject: Articles
  topic: section
subject: Cesarean section
  topic: keywords
subject: Postoperative pain
  topic: keywords
subject: Nursing interventions
  topic: keywords
creator: Junying Xu
creator: Alita Conde
creator: Francisco Obmerga
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
date: 2025-12-08
publication date: 2025-12-08
starting page: 66
ending page: 72
doi: 10.63313/hmt.9015

Research on Speech Rehabilitation Assessment Models Based on Natural Language Processing
type: item
description: Artificial intelligence technologies present new developmental opportunities within the medical rehabilitation field. Addressing challenges in speech rehabilitation assessment—such as inefficient manual evaluation and inconsistent standards—this paper designs an intelligent assessment model grounded in deep learning. Employing a hybrid CNN+BiLSTM+Attention architecture, the model achieves multidimensional feature extraction and analysis of speech signals, establishing an evaluation system covering dimensions such as articulation, fluency, and prosody. Clinical validation demonstrates that this model significantly enhances assessment efficiency and accuracy, providing effective technical support for speech rehabilitation training.
subject: Articles
  topic: section
subject: Speech rehabilitation assessment
  topic: keywords
subject: Deep learning
  topic: keywords
subject: Hybrid neural network
  topic: keywords
subject: Speech analysis
  topic: keywords
subject: Rehabilitation training system
  topic: keywords
creator: Yifan Zhou
creator: Yutong Yang
creator: Lingqin Jiang
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
date: 2025-12-08
publication date: 2025-12-08
starting page: 58
ending page: 65
doi: 10.63313/hmt.9014

Structural Biology: Deciphering the Atomic Blueprint of Protein Function
type: item
description: Proteins, as the primary executors of life activities, derive their complex and diverse functions directly from their precise three-dimensional spatial configurations. Structural biology, a discipline dedicated to elucidating the three-dimensional atomic structures of biological macromolecules and interpreting their functions, serves as a crucial bridge connecting genetic sequences with biological phenomena. This article systematically reviews the fundamental principle of structural biolo-gy—"structure determines function"—and elaborates on the primary methodolo-gies, including X-ray crystallography, nuclear magnetic resonance spectroscopy, and cryo-electron microscopy, employed to acquire protein structural information. Fur-thermore, it delves into how these structural insights unveil the molecular mecha-nisms underlying essential biological processes such as enzyme catalysis, signal transduction, immune recognition, and membrane transport at the atomic level. Special emphasis is placed on the relationship between protein dynamics and func-tional realization, as well as the core principle of allosteric regulation. Finally, the article envisions how artificial intelligence and in situ technologies are propelling our understanding of protein function to new heights in the era of integrative struc-tural biology. This study aims to underscore that structural biology is not only cen-tral to fundamental science but also a fundamental force in understanding disease mechanisms and driving drug development.
subject: Articles
  topic: section
subject: structural biology
  topic: keywords
subject: protein function
  topic: keywords
subject: three-dimensional structure
  topic: keywords
subject: catalytic mecha-nism
  topic: keywords
subject: allosteric regulation
  topic: keywords
subject: protein dynamics
  topic: keywords
subject: cryo-electron microscopy
  topic: keywords
creator: Nuoyang Wu
creator: Fei Wang
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
date: 2025-11-24
publication date: 2025-11-24
starting page: 49
ending page: 57
doi: 10.63313/hmt.9013

MeridianFM: A Causal and Safe Foundation Model for Personalizing Traditional Chinese Medicine Therapies
type: item
description: Nonpharmacological therapies like acupuncture, gua sha, and cupping are gaining prominence in integrative medicine, yet their application lacks data-driven personalization and rigorous safety assurances. This paper introduces MeridianFM, a causal and safe multimodal foundation model framework designed to generate personalized prescriptions for these therapies. MeridianFM integrates four key innovations: (1) a meridian-aware graph neural network that encodes the topological and semantic properties of acupoints; (2) a self-supervised multimodal architecture that fuses physiological time series, thermal imagery, electronic health records, and patient-reported outcomes; (3) a causal inference layer employing doubly robust estimation and front-door adjustment to mitigate confounding in observational data and estimate individualized treatment effects; and (4) a constrained reinforcement learning policy optimized with risk-sensitive objectives (Conditional Value-at-Risk) and a mixed-integer programming post-processor to enforce clinical safety and feasibility constraints. To ensure reproducibility, we provide a comprehensive evaluation suite based on synthetic and semi-synthetic data, including all source code. Our experiments demonstrate that MeridianFM surpasses baseline models in optimizing treatment policies, accurately estimating causal effects, and adhering to safety constraints. While this study establishes methodological feasibility and superior performance in simulated environments, it also lays the groundwork for future clinical validation, representing a significant step toward AI-driven precision in traditional medicine.
subject: Articles
  topic: section
subject: Foundation Model
  topic: keywords
subject: Causal Inference
  topic: keywords
subject: Reinforcement learning
  topic: keywords
subject: Traditional Chinese Medicine
  topic: keywords
subject: Personalized Medicine
  topic: keywords
subject: Multimodal Learning
  topic: keywords
creator: Shuhua Yang
creator: Yunhui Hu
creator: Jianbo Li
creator: Xiangying Xu
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
date: 2025-10-21
publication date: 2025-10-21
starting page: 31
ending page: 48
doi: 10.63313/hmt.9012

Exploring the Primary Models and Their Efficacy of Health Education in Universities in the Zhanjiang Area During the Post-COVID-19 Era
type: item
description: Objective To explore the main models and effects of health education in under-graduate colleges in the post COVID-19 era in Zhanjiang. Method: Randomly se-lect 2000 second year students from two universities in Zhanjiang area to con-duct a questionnaire survey on the health education mode; Randomly select 600 students and divide them into three groups. Each group will receive training on a health education model. Results The number of people who chose "WeChat official account push" was the largest, the number of people who chose "set up stalls to distribute publicity materials" ranked second, and the number of people who chose "popular science lectures on infectious disease prevention and con-trol" ranked third. There was no statistically significant difference (P>0.05) in the number of syphilis awareness cases between male and female groups in col-leges and universities. There was no statistically significant difference (P>0.05) in the awareness of the three groups of research subjects before the training; There were statistically significant differences (P<0.05) in the knowledge levels of the three research teams before and after training. After the training, there was a statistically significant difference (P<0.05) in the knowledge among the three groups, indicating that the effects of the three educational models were not consistent; There was a statistically significant difference between the "WeChat official account push" group and the other two groups (P=0.001, P=0.018); The difference between the other two groups was not statistically significant (P=0.372). Conclusion In the post epidemic era in Zhanjiang, the most popular health education models include WeChat official account push, setting up stalls to distribute publicity materials and popular science lectures on infectious dis-ease prevention and control; The WeChat official account push mode has the best effect and is worth promoting vigorously; The other two modes also have advantages and can be carrie…
subject: Articles
  topic: section
subject: Zhanjiang Area
  topic: keywords
subject: the Post-COVID-19 Era
  topic: keywords
subject: Higher education institutions
  topic: keywords
subject: Health education
  topic: keywords
creator: Junchu He
creator: Zhuofei Jiang
creator: Yanyan Yan
creator: Jiacheng Yuan
creator: Daniel Wong Barrenechea
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
date: 2025-10-03
publication date: 2025-10-03
starting page: 23
ending page: 30
doi: 10.63313/hmt.9011

A Study on the Communication of Traditional Chinese Medicine Discourse on YouTube under the National Strategy Background
type: item
description: This study analyzes the dissemination of Traditional Chinese Medicine (TCM) discourse on YouTube since its promotion as a Chinese national strategy in 2016. The research aims to map the communication ecology by examining the characteristics of high-impact videos and audience reception. Employing a mixed-methods content analysis, the study investigates 140 high-view TCM-related videos (2016-2024) and their associated comments. Findings reveal a structural imbalance in discourse subjects. Communication is primarily led by non-governmental, North American-based individual practi-tioners, while sources from China, TCM's cultural origin, are significantly un-derrepresented. Thematically, content is dominated by diagnostic and therapeu-tic practices, highlighting an audience focus on TCM's instrumental value. A key finding is a cognitive disconnect in narrative frameworks: Chinese-sourced videos often frame TCM as "civilizational heritage," whereas foreign-sourced videos predominantly present it as "alternative therapy." Sentiment analysis indicates predominantly positive audience reactions. However, analysis of comments shows a deeper "cultural discount," with audiences prioritizing prac-tical techniques over philosophical foundations. The study concludes that TCM communication on YouTube is active yet con-tested, marked by a disparity in discursive power. Enhancing communication effectiveness requires strategies that address this structural imbalance and bridge the framing gaps to foster deeper cross-cultural understanding.
subject: Articles
  topic: section
subject: Traditional Chinese Medicine
  topic: keywords
subject: Global Communication
  topic: keywords
subject: Cultural Discourse Studies
  topic: keywords
subject: YouTube
  topic: keywords
creator: Yueyue Ping
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
date: 2025-09-26
publication date: 2025-09-26
starting page: 12
ending page: 22
doi: 10.63313/hmt.9010

Influence of pregnancy outcome of gestational diabetes mellitus and nursing care
type: item
description: To explore the risk factors of gestational diabetes mellitus and its influence on pregnancy,and to analyze the risk factors of GDM.Now the proportion of gesta-tional diabetes mellitus is much lower than before,but patients cannot belittle it. Because the quality of disease control will directly affect the safety of pregnant women and fetuses,poor control will lead to various complications.Pregnant women suffering from gestational diabetes should keep in close contact with doctors,nutritionists and other medical personnel during the whole pregnancy to facilitate reasonable control and reduction of the disease according to the pregnant woman's physical condition.This article will describe various compli-cations of gestational diabetes mellitus and their impact on perinatal in-fants,analyze and put forward corresponding nursing suggestions.
subject: Articles
  topic: section
subject: Gestational diabetes
  topic: keywords
subject: Nursing intervention
  topic: keywords
subject: Pregnancy outcome
  topic: keywords
creator: Yalin Mao
creator: Dan Wang
creator: Huan Meng
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
date: 2025-09-18
publication date: 2025-09-18
starting page: 1
ending page: 11
doi: 10.63313/hmt.9009

Nurses' Chronic Disease Management Competencies And Patient Adherence To Long-Term Treatment Plans
type: item
description: This study aimed to investigate nurses' self-assessed competencies in chronic disease management and their assessment of patient adherence to long-term treatment plans. A descriptive-comparative-correlational design was employed, utilizing a researcher-made questionnaire administered to 131 nurses in medical-surgical units at Jinan Central Hospital. The results indicated that nurses generally perceived themselves as competent, with an overall mean competency score of 3.14. Patient adherence was assessed with a mean score of 3.26, indicating that nurses viewed their patients as largely compliant with treatment plans. Notably, competencies in patient education and emotional support showed significant positive correlations with adherence behaviors. However, areas such as medication adherence and lifestyle changes were identified as needing improvement. The study concluded that enhancing nursing competencies, particularly in patient education and emotional support, is essential for improving long-term adherence and health outcomes in chronic disease management.
subject: Articles
  topic: section
subject: Chronic disease management
  topic: keywords
subject: nursing competencies
  topic: keywords
subject: patient adherence
  topic: keywords
subject: self-assessment
  topic: keywords
subject: healthcare outcomes
  topic: keywords
creator: Jikang Guo
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
date: 2025-08-29
publication date: 2025-08-29
starting page: 62
ending page: 74
doi: 10.63313/hmt.9008

A review of the correlation between human papillomavirus (HPV) infection and dysbiosis of the female reproductive tract
type: item
description: This article reviews the relationship between vaginal microecological imbalance and cervical HPV infection, highlighting the latest research advancements in this area. As the primary defense line of the female reproductive tract, the balance of vaginal microecology plays a crucial role in how susceptible someone is to HPV infections, how long those infections last, and how effectively they can be cleared. Recent studies have shown that the variety and stability of vaginal bacteria are closely linked to cervical HPV infections. Dysbiosis of the vaginal microecology may lead to changes in the local immune microenvironment, thereby weakening the host's resistance to HPV. Additionally, inflammatory re-sponses play an important role in the occurrence and progression of HPV infections. Through the analysis of existing research, this article further explores the potential application value of microecological regu-lation, including combating HPV infections by adjusting microbial struc-ture and restoring microecological balance. By integrating this research evidence, the article aims to provide theoretical support for clinical practice and future research directions to promote the development of early prevention and intervention strategies for HPV.
subject: Articles
  topic: section
subject: This text discusses: vaginal microbiome, human papillomavirus (HPV), imbal-ance of the microbiome, and women's reproductive health issues.
  topic: keywords
creator: Ying Wang
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
date: 2025-08-25
publication date: 2025-08-25
starting page: 54
ending page: 61
doi: 10.63313/hmt.9007

Research on the application of artificial intelligence technology in modern traditional Chinese medicine assisted consultation and dialectic
type: item
description: Driven by policy support and the rapid development of artificial intelligence technology, TCM diagnostics has made significant progress in theoretical innovation, technology application and standardization construction. This study sorts out the application status of artificial intelligence technology in the field of traditional Chinese medicine diagnosis, including the application of expert systems in intelligent syndrome differentiation, image diagnosis and observation technology, natural language processing and consultation technology, and the application of sensors and intelligent hardware in smelling and incision. Aiming at the applicability of AI in the field of TCM diagnosis, this paper proposes technical paths such as data processing and feature extraction, model optimization and algorithm improvement, multimodal information fusion and diagnostic decision-making. The application of AI-based four-diagnosis fusion technology realizes the systematic integration and in-depth mining of traditional Chinese medicine four-diagnosis information, and improves the objectivity and accuracy of TCM diagnosis through multi-modal data collection and intelligent analysis. The study also verifies the feasibility of the four-diagnosis fusion technology in improving the objectivity of TCM diagnosis through typical case analysis, and looks forward to future research directions, including the construction of knowledge system, the research and development of TCM collaborative diagnosis system, the cross-application of emerging technologies, and clinical translation research, etc., providing an implementation path with both technical feasibility and ethical reliability for the intelligent development of TCM.
subject: Articles
  topic: section
subject: Artificial Intelligence
  topic: keywords
subject: Traditional Chinese Medicine Auxiliary Consultation and Dialectic
  topic: keywords
subject: Four-Diagnosis Integration Technology
  topic: keywords
subject: Multimodal Information Fusion
  topic: keywords
subject: Intelligent Diagnostic System
  topic: keywords
creator: Yi Sun
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
date: 2025-08-04
publication date: 2025-08-04
starting page: 35
ending page: 53
doi: 10.63313/hmt.9006

Scope and Intensity of Local Anesthesia: Evaluat-ing the Optimal Dosage
type: item
description: Local anesthesia constitutes a cornerstone of modern anesthesiology. The scope of anesthetized tissue and the depth of sensory blockade are governed by a mul-tifaceted interaction of pharmacodynamic and procedural factors. This article outlines the core principles of local anesthesia and offers an in-depth analysis of the variables affecting dosage selection, such as anatomical site, agent potency, and pharmacokinetic profile. Through clinical case studies, Evidence synthesis indicates how these determinants influence outcomes across various interven-tions, aiming to enhance the reader’s grasp of the adaptability and individual-ized patient responses inherent to local anesthetic modalities. The discussion also addresses safety concerns related to both underdosing and overdosing.
subject: Articles
  topic: section
subject: Local anesthesia
  topic: keywords
subject: Anesthetic diffusion radius (ADR)
  topic: keywords
subject: Dermatomal coverage
  topic: keywords
subject: No-ciceptive selectivity
  topic: keywords
subject: Drug potency
  topic: keywords
subject: Clinical case analysis
  topic: keywords
creator: Tian Hou
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
date: 2025-07-28
publication date: 2025-07-28
starting page: 27
ending page: 34
doi: 10.63313/hmt.9005

A regional study on nasopharyngeal carcinoma prevention in Guangxi and Guangdong, China
type: item
description: Objective: To achieve regional nasopharyngeal cancer prevention in Guangxi and Guangdong, China, where nasopharyngeal cancer is prevalent. Methods: To prevent nasopharyngeal cancer, you should avoid smoking and excessive drinking, reduce the consumption of pickled foods, and pay attention to the air quality in the working and living environment, especially avoid long-term exposure to high concentrations of dust, formaldehyde and other irri-tants. Results: The imbalance of certain trace elements in the population, caused by the region's natural environment, such as high nickel and low selenium, has also been proven to induce nasopharyngeal cancer in experimental animals. The survey found that the nickel content in the soil, water, and rice in the areas of Guangdong prone to nasopharyngeal cancer is higher than in other areas. Conclusion: The occurrence of nasopharyngeal cancer is a multi-factor, mul-ti-stage process. Having good living habits, eating less pickled foods, not smok-ing or drinking, maintaining an optimistic attitude, and engaging in regular ex-ercise may reduce the risk of nasopharyngeal cancer. However, people in high-incidence areas and with a family history of nasopharyngeal cancer should undergo nasopharyngeal cancer screening as early as possible. Whether from the perspective of disease recovery or medical expenses, the advantages of early diagnosis and early treatment are more obvious.
subject: Articles
  topic: section
subject: Guangdong and Guangxi
  topic: keywords
subject: nasopharyngeal carcinoma
  topic: keywords
subject: regional diseases
  topic: keywords
subject: cancer prevention and control
  topic: keywords
creator: Liangjin Zhang
creator: Yu Ti
creator: Haowei Ti
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
date: 2025-07-07
publication date: 2025-07-07
starting page: 22
ending page: 26
doi: 10.63313/hmt.9004

The relationship between professional values and caring behaviors of nurses in neonatal intensive care units
type: item
description: Providing end-of-life (EOL) care in Neonatal Intensive Care Units (NICUs) poses significant ethical and emotional challenges for nurses. Professional values, including compassion, dignity, and respect, are central to how nurses navigate these situations. This paper highlights the role of ethical climate, moral distress, and organizational support in shaping nurses' EOL care behaviors.
subject: Articles
  topic: section
subject: Neonatal Intensive Care Unit (NICU)
  topic: keywords
subject: Professional Values
  topic: keywords
subject: Nursing Ethics
  topic: keywords
subject: End-of-Life Care
  topic: keywords
subject: Nurse Competency
  topic: keywords
creator: Jie Yang
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
date: 2025-06-10
publication date: 2025-06-10
starting page: 15
ending page: 21
doi: 10.63313/hmt.9003

Selenization Improves Physicochemical Properties, Antioxidant and Anti-glycation Activities of Bamboo Shoot Polysaccharides
type: item
description: This study aimed to investigate the physicochemical properties, antioxidant and anti-glycation activities of selenized bamboo shoot polysaccharides (Se-BSP). The molecular weight of Se-BSP was determined by using gel permeation chro-matography, while its monosaccharide composition was identified via ion chromatography. Antioxidant activity was evaluated using an in vitro assay kit, and anti-glycation activity was assessed via the in vitro bovine serum albu-min-glucose non-enzymatic glycosylation reaction system. The results showed that Se-BSP, with a selenium content of 1.134 ± 0.136 mg/g, has a molecular weight of approximately 24,600 g/mol and is composed of galactose, xylose, arabinose, glucose, glucuronic acid, and galacturonic acid in a molar ratio of 0.382:0.255:0.274:0.037:0.013:0.018. In comparison to the non-selenized bam-boo shoot polysaccharides, Se-BSP demonstrated significant improvements in physicochemical properties, including water-holding, oil-holding, wa-ter-binding, and swelling capacities, as well as antioxidant activity and inhibi-tory effects on protein non-enzymatic glycosylation. These findings highlight the potential of Se-BSP as a functional food ingredient with health-beneficial properties.
subject: Articles
  topic: section
subject: Selenized Bamboo Shoot Polysaccharides
  topic: keywords
subject: Physicochemical Properties
  topic: keywords
subject: Antioxi-Dant Capacity
  topic: keywords
subject: Protein Non-Enzymatic Glycosylation
  topic: keywords
creator: Juqing Huang
creator: Shizhong Zhang
creator: Lingyue Zhong
creator: Jie Li
creator: Yunzong Liu
creator: Qi Wang
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
date: 2025-06-10
publication date: 2025-06-10
starting page: 6
ending page: 14
doi: 10.63313/hmt.9002

A Meta-Analysis of Machine Learning Techniques for Predicting Disease Progression in Electronic Health Records
type: item
description: Predicting disease progression is crucial for personalized medicine, enabling tailored treatment strategies. Electronic Health Records (EHRs) provide a valu-able data source for predictive modeling, and integrating machine learning (ML) enhances accuracy and clinical utility. This meta-analysis examines ML tech-niques applied to disease progression prediction using EHR data, synthesizing findings from eight studies published in the last five years. Results reveal diverse ML applications, from traditional regression to deep learning, with performance varying by disease type, data quality, and model complexity. While certain tech-niques show superior predictive accuracy in specific conditions, challenges such as data heterogeneity and model interpretability remain. The findings empha-size the need for disease-specific model selection and improved data integration to enhance clinical applicability. This study provides a roadmap for advancing ML-driven predictive models in personalized healthcare.
subject: Articles
  topic: section
subject: Disease Progression Prediction
  topic: keywords
subject: Machine Learning Techniques
  topic: keywords
subject: Electronic Health Records (EHR)
  topic: keywords
subject: Meta-Analysis
  topic: keywords
subject: Predictive Modeling
  topic: keywords
creator: Yanan Wang
rights: Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
date: 2025-03-19
publication date: 2025-03-19
starting page: 1
ending page: 5
doi: 10.63313/hmt.9001