Jie Zhao

Digital Health Workforce Development for Smart Health Services: A Stakeholder Survey and Proof-of-Concept Knowledge- Graph Evaluation in China

Hong Su, Yumeng Zhao, Jia Tao, Qi Wang et autres

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Development and validation of a novel multimodal deep neural network model based on CBC digit parameters and scattergrams for rapid hematolymphoid malignancy classification: a multicenter cohort study

Hongyan Liao, S Y Chen, Qiang Meng, Mingxia Tang et autres

BACKGROUND: Rapid screening of hematolymphoid malignancies (HMs) by complete blood cell count (CBC) is crucial for choosing the next appropriate workup and initiating timely treatment for critical cases such as acute promyelocytic leukemia. Commonly presented as leukocytosis and abnormal differential, HMs could …

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Study on the adoption intention of the cognitive impairment screening mini program based on TAM and TPB models

Peiyan Liu, Jie Zhao, Jingcheng Liu, Xin Qi et autres

With growing attention to cognitive impairment screening, digital screening tools have become an important approach for early detection and intervention. However, considerable uncertainty remains regarding users' acceptance of such mini programs, particularly among middle-aged and older adults. Based on the Technology Acceptance …

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Combination of selenium and metformin mitigated testicular damage from diabetes mellitus by enhancing glycolysis via AMPK/ SIRT1 pathway

Li Cao, Zhihuan Chen, Haixin Li, Jie Zhao et autres

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Early Lung Cancer Detection Using Nucleotide Transition Probabilities in Plasma Cell-Free DNA

Jinwen Ji, Ruyue Xue, Xu Zhang, Meijia Yang et autres

Abstract Background: Lung cancer is the most lethal malignancy worldwide and urgently requires effective early detection strategies. Current noninvasive approaches based on plasma cell-free DNA (cfDNA) fragmentomics often suffer from limited sensitivity in early-stage patients because of low tumor DNA fractions. Methods: …

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Stakeholder Perspectives on Digital Health Technologies in Post-Stroke Self-Management and Rehabilitation: A Systematic Review Based on the NASSS Framework (Preprint)

Jing Zhao, Jie Zhao, Xiaohan Liu, Yongxin Cao et autres

Telepathology and Mobile Health System for Province-Wide Pathology Consultation in Henan, China: Retrospective Evaluation Study

Jinming Shi, Ming Ye, Dongxu Sun, Xianying He et autres

BACKGROUND: Telepathology has emerged as a transformative digital health solution to address the global shortage of pathologists and the unequal distribution of diagnostic services, particularly in underserved and rural areas. In Henan Province, China, high diagnostic demand, rapid population growth, and limited …

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Biomechanical analysis of femoral component malalignment in medial unicompartmental knee arthroplasty

Fangxing Wang, Jie Zhao, Weijie He, Huazheng He et autres

Knee osteoarthritis (KOA) has a high prevalence among the elderly, severely affecting their quality of life and imposing a considerable burden on social health insurance. Unicompartment knee arthroplasty (UKA) continues to be favored by clinicians as a minimally invasive procedure. Fixed-bearing prostheses …

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High-temperature exposure impairs cognitive function by disrupting the gut-brain axis: Evidence from human and rat studies

Lai‐Bao Zhuo, Jie Zhao, Weidong Wu, Yu‐Ming Chen

BACKGROUND: To investigate the impact of high temperature (HT) exposure on cognitive function in humans and rats, focusing on the gut-brain axis as a potential mediating pathway. METHODS: The study population was derived from the Guangzhou Nutrition and Health Study, with cognitive …

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Deep learning based on MRI for assessing the prognostic value of lateral lymph nodes in rectal cancer

Ge Qiao, Lili Feng, Zhenhui Li, Qiong Wu et autres

Objectives: Accurate preoperative evaluation of positive lateral lymph node (LLN) is crucial for optimizing treatment strategies in rectal cancer. Traditional methods, such as MRI T2-weighted imaging (T2WI), face limitations like interobserver variability and difficulty detecting small or occult metastases. Deep learning (DL) …

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GBAGC-RL: Goal-based arm-gripper coordination reinforcement learning approach for robotic manipulation skills

Xiaofan Yang, Yubin Liu, Guoqing Chu, Junyu Wu et autres

Recent research on robotic manipulation via reinforcement learning (RL) has garnered significant attention. However, RL faces hurdles in complex tasks because of high state–action dimensions and reward design complexities. It is important to find an easy-to-use framework to quickly achieve the representation, …

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A narrative literature review on the clinical utility of activated partial thromboplastin time and anti-factor Xa activity assays in cancer patients with anticoagulant therapy

Haixin Li, Lihong Song, Yanhong Chen, Jie Zhao et autres

Background and Objective: Cancer patients face a substantially increased risk of venous thromboembolism (VTE), a leading cause of non-cancer mortality. Optimizing anticoagulation therapy in this population necessitates balancing thromboprophylaxis efficacy with hemorrhage risk, which is particularly challenging given comorbidities, polypharmacy, and tumor-specific …

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