1.Compact Fundus Imaging System Using Shack-Hartmann Wavefront Sensing for High-speed Auto-focus
Zhe-Kai LIN ; Long CHEN ; Geng-Yong ZHENG ; Jin-Tian HUANG ; Jia-Xin DONG ; Shang-Pan YANG ; Wen-Zheng DING ; Ding-An HAN ; Xue-Hua WANG ; Ya-Guang ZENG
Progress in Biochemistry and Biophysics 2026;53(4):1076-1086
ObjectiveThe widespread adoption of portable fundus cameras for primary care and community screening is hindered by limitations in current autofocus(AF) technologies. Image-based methods relying on sharpness evaluation require iterative searches, resulting in slow convergence, while projection-based techniques are susceptible to optical artifacts and calibration errors. To address these challenges, this study introduces a novel AF system based on direct wavefront sensing, designed to deliver simultaneous high speed, high precision, and operational robustness within the compact form factor essential for portable ophthalmic devices. MethodsOur approach fundamentally reimagines the AF process by directly measuring the ocular wavefront aberration. We developed a custom portable fundus camera integrating a miniaturized Shack-Hartmann wavefront sensor (SHWS) into the optical path. An 850 nm laser diode projects a point source onto the retina via oblique illumination to minimize corneal reflections. Light scattered from this spot carries the eye’s refractive error through the imaging optics and is directed to the SHWS, positioned at a plane optically conjugate to the primary color CMOS imaging sensor. A microlens array within the SHWS samples the incident wavefront, generating a pattern of focal spots on a CCD. Real-time centroid analysis of these spots provides a map of local wavefront slopes. These measurements are processed through a singular value decomposition (SVD) algorithm to fit a Zernike polynomial basis set, enabling real-time reconstruction of the wavefront phase. The defocus component (S) is extracted from the second-order Zernike coefficients, providing a direct, quantitative measure of the refractive error in diopters. This value serves as a precise error signal in a closed-loop control system, which commands a voice-coil actuated focusing lens to its null position in a single, deterministic step, eliminating the need for iterative search algorithms. ResultsComprehensive evaluation demonstrated the system’s high performance. Testing on a calibrated model eye (OEMI-7) established a highly linear relationship between the computed defocus S and the focusing lens position across a ±20 Diopter (D) compensation range, achievable within a 5 mm mechanical travel. The system achieved a focusing precision of 0.08 D, corresponding to an 18-fold improvement over a conventional projection spot-size method tested under identical conditions. The total focus acquisition time, encompassing wavefront measurement, computation, and lens actuation, averaged under 0.5 s. Clinical validation with 25 human volunteers (50 eyes, refractive range -15 D to +10 D) confirmed practical efficacy. The wavefront-sensing AF succeeded in 92% of attempts with a mean time of 0.5 s, substantially outperforming a projection-based benchmark which achieved only a 32% success rate with an average time of 4.25 s. The system provided instantaneous directional guidance and maintained stability during minor ocular movements. Objective assessment of image quality, via amplitude contrast of retinal vasculature, showed consistent and significant enhancement following AF correction across the entire tested diopter range. ConclusionThis work successfully implements and validates a direct wavefront-sensing autofocus paradigm for portable fundus cameras. By directly quantifying and compensating for the optical defocus aberration, this method bypasses the fundamental limitations of image-processing and projection-based techniques, enabling rapid, precise, and deterministic diopter compensation. The developed system delivers an exceptional combination of a wide operational range (±20 D), high accuracy (0.08 D), fast convergence (0.5 s), and a compact physical footprint. This technology provides a practical and high-performance focusing solution capable of enhancing the reliability, throughput, and diagnostic utility of portable retinal imaging in large-scale screening applications. Future efforts will be directed towards system cost optimization and performance adaptation for diverse ocular conditions.
2.PET/CT imaging of PD-1 receptor probe targeting S180 sarcoma in mice
Haifeng HUANG ; Jiangnan SUN ; Huan ZOU ; Tao BAO ; Hua ZHU ; Xianteng YANG ; Shanshan LI
Acta Universitatis Medicinalis Anhui 2026;61(4):682-688
ObjectiveTo explore the feasibility of constructing a programmed death receptor-1(PD-1) molecular probe for non-invasive micro-positron emission tomography/computed tomography (Micro-PET/CT) imaging of PD-1 protein in mouse S180 sarcoma. MethodsA transgenic PD-1 C57 S180 sarcoma mouse model was established using the S180 sarcoma cell injection. Furthermore, 124I-anti-PD-1 monoclonal antibody probe was synthesized. 18.5 MBq of the 124I-anti-PD-1 probe was injected into the tail vein of transgenic PD-1 C57 mice. Subsequently, S180 sarcoma was imaged using Micro-PET/CT. ResultsStudy successfully established a transgenic PD-1 C57 S180 sarcoma mouse model. Immunohistochemical (IHC) results showed PD-1 protein expression in S180 sarcoma. Micro-PET/CT imaging successfully visualized the PD-1 protein receptor in S180 sarcoma at different time points (20, 48, 72, and 120 h) after probe injection. ConclusionThe 124I-anti-PD-1 monoclonal antibody molecular probe successfully targets the PD-1 receptor in S180 sarcoma of transgenic PD-1 C57 mice, and presents clear Micro-PET/CT immunoassay results, thus it potentially enables the non-invasive screening of patients with PD-1 positive malignant tumors.
3.Harnessing Machine Learning for Personalized Care of Patients With Idiopathic Sudden Sensorineural Hearing Loss: A Multicenter Cohort Study
Yen-Ting GUO ; Ching-Ting TAN ; Chen-Chi WU ; Chun-Ying WANG ; Chein-Yu HUANG ; Tzu-Hsiang YANG ; Ting-Yi LEE ; Ting-Hua YANG ; Tien-Chen LIU ; Pey-Yu CHEN ; Pei-Hsuan LIN
Clinical and Experimental Otorhinolaryngology 2026;19(2):194-204
Objectives:
. Idiopathic sudden sensorineural hearing loss (ISSNHL) is a significant cause of hearing loss. Intratympanic steroid injection (ITSI) is commonly used as an initial or salvage treatment; however, the lack of a standardized treatment protocol has resulted in variability in clinical practice. In addition, no efficient prediction model currently exists to support personalized management. Therefore, this study aimed to develop tailored management strategies for ISSNHL using a machine-learning model.
Methods:
. This retrospective multicenter cohort study was conducted between January 2015 and December 2020, with data analysis performed between January 2021 and March 2024. Patients were selected based on the International Classification of Diseases, 10th Revision criteria for ISSNHL, along with relevant medication and procedure codes. Patients with pure-tone audiogram results not meeting ISSNHL criteria, better initial hearing in the affected ear, an identifiable etiology, no post-treatment audiogram, or delayed treatment (>6 weeks) were excluded. We included 770 patients diagnosed with ISSNHL who received ITSI. The primary outcome was the area under the receiver operating characteristic curve for prediction performance. Recovery status was determined using the last pure-tone audiogram. Modeling was conducted on the Quanta for Medical Care AI platform using five machine-learning algorithms and a nested cross-validation framework, in which feature selection and hyperparameter tuning were performed in the inner folds and model performance was evaluated in the outer folds.
Results:
. A random forest classifier outperformed the other models in predicting hearing outcomes, achieving an area under the receiver operating characteristic curve of 0.788. Time to ITSI was the most influential treatment-related factor, with ITSI administered within 10 days of hearing loss being associated with better outcomes. This model can be used to provide personalized prognostic estimates under different treatment protocols.
Conclusion
. The machine-learning-based prediction model facilitates personalized treatment strategies and timely treatment adjustments for ISSNHL, thereby optimizing the likelihood of complete recovery.
4.Study on the association between heatwaves and fall-related mortality risk in seven provinces of China
Zhiying JIANG ; Ruilin MENG ; Ruoyi ZHANG ; Xuelong GU ; Jianxiong HU ; Min YU ; Yang CHEN ; Chunliang ZHOU ; Biao HUANG ; Ziyi LIANG ; Sujuan CHEN ; Jianhao LI ; Guanhao HE ; Tao LIU ; Hua GUO ; Wenjun MA
Chinese Journal of Epidemiology 2025;46(4):566-572
Objective:To evaluate the association between heatwaves and fall-related mortality.Methods:A total of 61 421 fall-related mortality from 2013 to 2022 in 7 provinces of China were included in a time-stratified case-crossover design, with daily meteorological data derived from the fifth generation European Reanalysis dataset produced by the European Centre for Medium-Range Weather Forecasts. Conditional logistic regression chimeric distributed lag nonlinear model was used to analyze the association between heatwaves and fall-related mortality and stratified analysis was conducted according to gender and age.Results:Heatwaves were associated with an increased risk of fall-related morality. The risk of fall-related mortality during heatwaves was higher than during non-heatwave periods ( OR=1.11, 95% CI: 1.05-1.18). The attributable fraction of fall-related motality due to heatwaves was 10.25% (95% CI: 4.49%-15.36%). For each 1 ℃ increase above the heatwave threshold, the risk of fall-related mortality increased by 34% ( OR=1.34, 95% CI: 1.02-1.76). The effect of heatwave duration on fall-related mortality was not statistically significant. Stratified analyses indicated that women experienced a higher risk of fall-related mortality during heatwaves ( OR=1.13, 95% CI: 1.04-1.22) compared to man ( OR=1.10, 95% CI: 1.04-1.17). Conclusions:Heatwave increases the risk of fall-related mortality, and the intensity of heatwaves modify this risk. Women are vulnerable populations.
5.Coupling of an Au@AgPt nanozyme array with an micrococcal nuclease-specific responsiveness strategy for colorimetric/SERS sensing of Staphylococcus aureus in patients with sepsis
Xueqin HUANG ; Yingqi YANG ; Hanlin ZHOU ; Liping HU ; Annan YANG ; Hua JIN ; Biying ZHENG ; Jiang PI ; Jun XU ; Pinghua SUN ; Huai-Hong CAI ; Xujing LIANG ; Bin PAN ; Junxia ZHENG ; Haibo ZHOU
Journal of Pharmaceutical Analysis 2025;15(2):389-400
Rapid and ultrasensitive detection of pathogen-associated biomarkers is vital for the early diagnosis and therapy of bacterial infections.Herein,we developed a close-packed and ordered Au@AgPt array coupled with a cascade triggering strategy for surface-enhanced Raman scattering(SERS)and colorimetric identification of the Staphylococcus aureus biomarker micrococcal nuclease(MNase)in serum samples.The trimetallic Au@AgPt nanozymes can catalyze the oxidation of 3,3',5,5'-tetramethylbenzidine(TMB)molecules to SERS-enhanced oxidized TMB(oxTMB),accompanied by the color change from colorless to blue.In the presence of S.aureus,the secreted MNase preferentially cut the nucleobase AT-rich regions of DNA sequences on magnetic beads(MBs)to release alkaline phosphatase(ALP),which subsequently mediated the oxTMB reduction for inducing the colorimetric/SERS signal fade away.Using this"on-to-off"triggering strategy,the target S.aureus can be recorded in a wide linear range with a limit of detection of 38 CFU/mL in the colorimetric mode and 6 CFU/mL in the SERS mode.Meanwhile,the MNase-mediated strategy characterized by high specificity and sensitivity successfully discriminated between patients with sepsis(n=7)and healthy participants(n=3),as well as monitored the prog-nostic progression of the disease(n=2).Overall,benefiting from highly active and dense"hot spot"substrate,MNase-mediated cascade response strategy,and colorimetric/SERS dual-signal output,this methodology will offer a promising avenue for the early diagnosis of S.aureus infection.
6.Early warning method for invasive mechanical ventilation in septic patients based on machine learning model.
Wanjun LIU ; Wenyan XIAO ; Jin ZHANG ; Juanjuan HU ; Shanshan HUANG ; Yu LIU ; Tianfeng HUA ; Min YANG
Chinese Critical Care Medicine 2025;37(7):644-650
OBJECTIVE:
To develop a method for identifying high-risk patients among septic populations requiring mechanical ventilation, and to conduct phenotypic analysis based on this method.
METHODS:
Data from four sources were utilized: the Medical Information Mart for Intensive Care (MIMIC-IV 2.0, MIMIC-III 1.4), the Philips eICU-Collaborative Research Database 2.0 (eICU-CRD 2.0), and the Anhui Medical University Second Affiliated Hospital dataset. The adult patients in intensive care unit (ICU) who met Sepsis-3 and received invasive mechanical ventilation (IMV) on the first day of first admission were enrolled. The MIMIC-IV dataset with the highest data integrity was divided into a training set and a test set at a 6:1 ratio, while the remaining datasets were served as validation sets. The demographic information, comorbidities, laboratory indicators, commonly used ICU scores, and treatment measures of patients were extracted. Clinical data collected within first day of ICU admission were used to calculate the sequential organ failure assessment (SOFA) score. K-means clustering was applied to cluster SOFA score components, and the sum of squared errors (SSE) and Davies-Bouldin index (DBI) were used to determine the optimal number of disease subtypes. For clustering results, normalized methods were employed to compare baseline characteristics by visualization, and Kaplan-Meier curves were used to analyze clinical outcomes across phenotypes.
RESULTS:
This study enrolled patients from MIMIC-IV dataset (n = 11 166), MIMIC-III dataset (n = 4 821), eICU-CRD dataset (n = 6 624), and a local dataset (n = 110), with the four datasets showing similar median ages and male proportions exceeding 50%; using 85% of the MIMIC-IV dataset as the training set, 15% as the test set, and the rest dataset as the validation set. K-means clustering based on the six-item SOFA score was performed to determine the optimal number of clusters as 3, and patients were finally classified into three phenotypes. In the training set, compared with the patients with phenotype II and phenotype III, those with phenotype I had the more severe circulatory and respiratory dysfunction, a higher proportion of vasoactive drug usage, more obvious metabolic acidosis and hypoxia, and a higher incidence of congestive heart failure. The patients with phenotype II was dominated by respiratory dysfunction with higher visceral injury. The patients with phenotype III had relatively stable organ function. The above characteristics were consistent in both the test and validation sets. Analysis of infection-related indicators showed that the patients with phenotype I had the highest SOFA score within 7 days after ICU admission, initial decreases and later increases in platelet count (PLT), and higher counts of neutrophils, lymphocytes, and monocytes as compared with those with phenotype II and phenotype III, their blood cultures had a higher positivity rates for Gram-positive bacteria, Gram-negative bacteria and fungi as compared with those with phenotype II and phenotype III. The Kaplan-Meier curve indicated that in the training, test, and validation sets, the 28-day cumulative mortality of patients with phenotype I was significantly higher than that of patients with phenotypes II and phenotype III.
CONCLUSIONS
Three distinct phenotypes in septic patients receiving IMV based on unsupervised machine learning is derived, among which phenotype I, characterized by cardiorespiratory failure, can be used for the early identification of high-risk patients in this population. Moreover, this population is more prone to bloodstream infections, posing a high risk and having a poor prognosis.
Humans
;
Machine Learning
;
Sepsis/therapy*
;
Respiration, Artificial
;
Intensive Care Units
;
Organ Dysfunction Scores
;
Male
;
Female
;
Middle Aged
;
Adult
7.International clinical practice guideline on the use of traditional Chinese medicine for functional dyspepsia (2025).
Sheng-Sheng ZHANG ; Lu-Qing ZHAO ; Xiao-Hua HOU ; Zhao-Xiang BIAN ; Jian-Hua ZHENG ; Hai-He TIAN ; Guan-Hu YANG ; Won-Sook HONG ; Yu-Ying HE ; Li LIU ; Hong SHEN ; Yan-Ping LI ; Sheng XIE ; Jin SHU ; Bin-Fang ZENG ; Jun-Xiang LI ; Zhen LIU ; Zheng-Hua XIAO ; Jing-Dong XIAO ; Pei-Yong ZHENG ; Shao-Gang HUANG ; Sheng-Liang CHEN ; Gui-Jun FEI
Journal of Integrative Medicine 2025;23(5):502-518
Functional dyspepsia (FD), characterized by persistent or recurrent dyspeptic symptoms without identifiable organic, systemic or metabolic causes, is an increasingly recognized global health issue. The objective of this guideline is to equip clinicians and nursing professionals with evidence-based strategies for the management and treatment of adult patients with FD using traditional Chinese medicine (TCM). The Guideline Development Group consulted existing TCM consensus documents on FD and convened a panel of 35 clinicians to generate initial clinical queries. To address these queries, a systematic literature search was conducted across PubMed, EMBASE, the Cochrane Library, China National Knowledge Infrastructure (CNKI), VIP Database, China Biology Medicine (SinoMed) Database, Wanfang Database, Traditional Medicine Research Data Expanded (TMRDE), and the Traditional Chinese Medical Literature Analysis and Retrieval System (TCMLARS). The evidence from the literature was critically appraised using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach. The strength of the recommendations was ascertained through a consensus-building process involving TCM and allopathic medicine experts, methodologists, pharmacologists, nursing specialists, and health economists, leveraging their collective expertise and empirical knowledge. The guideline comprises a total of 43 evidence-informed recommendations that span a range of clinical aspects, including the pathogenesis according to TCM, diagnostic approaches, therapeutic interventions, efficacy assessments, and prognostic considerations. Please cite this article as: Zhang SS, Zhao LQ, Hou XH, Bian ZX, Zheng JH, Tian HH, Yang GH, Hong WS, He YY, Liu L, Shen H, Li YP, Xie S, Shu J, Zeng BF, Li JX, Liu Z, Xiao ZH, Xiao JD, Zheng PY, Huang SG, Chen SL, Fei GJ. International clinical practice guideline on the use of traditional Chinese medicine for functional dyspepsia (2025). J Integr Med. 2025; 23(5):502-518.
Dyspepsia/drug therapy*
;
Humans
;
Medicine, Chinese Traditional/methods*
;
Practice Guidelines as Topic
;
Drugs, Chinese Herbal/therapeutic use*
8.Follow-up and pre-visit model in public hospitals from the perspective of value co-creation
Xiaoyuan YANG ; Yannan ZHANG ; Juan LIU ; Yu ZHANG ; Hua HUANG
Modern Hospital 2025;25(2):190-193,197
Objective By exploring the establishment of a follow-up and pre-visit model,this study aims to facilitate the development of a modernized Chinese medical service model for public hospitals,characterized by optimized workflows,continu-ous care models,efficient services,comfortable environments,and patient-centered attitudes,thereby improving patient experi-ence and enhancing the quality of outpatient follow-up visits.Methods Under the value co-creation framework,with both healthcare providers and patients as core value stakeholders,this program introduced a self-service examination appointment plat-form,established a follow-up and pre-visit process,and implemented time-slot-based appointments for diagnosis and treatment.These steps aim to promote the equitable allocation of medical resources and refine the follow-up and pre-visit model in public hospitals.Results Implementation at Hospital P demonstrated that after process reengineering,patients'average in-hospital time reduced by nearly 135 minutes,significantly enhancing treatment efficiency,satisfaction levels among both medical staff and patients,and accessibility of medical services.Conclusion Grounded in value co-creation theory,the follow-up and pre-visit model of Hospital P is divided into three stages:mutual value positioning of both doctors and patients,collaborative value crea-tion,and sustained value continuation for both.This alignment between process reengineering goals and value co-creation out-comes helps improve the quality of medical services,better meet the medical needs of patients,and achieve a win-win scenario for both doctors and patients.
9.Effects of estrogen signaling on T cell recruitment and polarization in inflamed skeletal muscle with acute myoinjury
Zi-Wei ZHAO ; Xiao-Ting JIAN ; Jun-Yi XIE ; Jing-Wen HUANG ; Yang-Yang LI ; Qi-Sen WANG ; Zhao-Hong LIAO ; Hua LIAO
Acta Anatomica Sinica 2025;56(6):688-696
Objective To investigate the effects of estrogen signaling on T-cell recruitment and polarization in acutely injured skeletal muscle.Methods One hundred C57BL/6 male mice,one hundred and eighty C57BL/6 female mice were selected.Twenty-five female mice were ovariectomized(OVX)and 10 male mice were taken as the sham-operated(sham).Then,cardiotoxin(CTX)induced tibialis anterior(TA)injury for preparing mice myoinjury model.Subcutaneous injection of 17β-estradiol(E2)or estrogen receptor antagonist 4-hydroxytamoxifen(4-OHT)was performed.A total of 140 mice(70 males and 70 females)were divided into four group including:PBS-male,CTX-male,PBS-female,and CTX-female.Serum estradiol(E2)levels were measured by ELISA,and muscle injury models were validated via HE staining.Subsequently,20 male and 20 female mice were selected for immunofluorescence(IF)and Real-time PCR to assess estrogen receptors(ER)expression in injured muscle tissue.Further,10 male and 40 female mice were allocated into five experimental groups,including CTX,CTX+E2,CTX+4-OHT,CTX+OVX,CTX+sham.HE staining and IF were performed to evaluate inflammatory infiltration in the injured muscle.Additionally,50 female mice were divided into CTX and CTX+OVX groups,and IF combined with flow cytometry were used to analyze T-cell phenotypes and muscle fiber regeneration in the injured muscle.Results In vivo,serum E2 and myofiber ERβ increased post-injury in mice of both sexes,significantly higher in females.Compared to the control group,E2 alleviated inflammation,OVX exacerbated inflammation,increased CD4+T-cell infiltration,elevated T helper 1 cell(Th1)response,decreased regulatory T cells(Tregs),impaired regeneration.In vitro,IFN-γ/LPS significantly upregulated ERβ in myotubes.Conclusion Estrogen signaling critically regulates muscle inflammation.Estrogen deficiency(OVX)delays repair of skeletal muscle by promoting Th1 response and suppressing Tregs function.
10.Efficacy and safety of repetitive transcranial magnetic stimulation in the treatment of postpartum depression: a Meta-analysis
Shuang ZHENG ; Luping YANG ; Binyang HUANG ; Miao CAO ; Mengxiao LI ; Wenjun YANG ; Chunliang GUO ; Rongmei ZHENG ; Yuyang ZHANG ; Hua LI
Sichuan Mental Health 2025;38(6):568-576
BackgroundPostpartum depression (PPD) is a prevalent postpartum complications that significantly compromises women's psychological and physical well-being. Repetitive transcranial magnetic stimulation (rTMS), a conventional neuromodulation technique, has been increasingly used in the treatment of PPD. However, high-quality evidence regarding its efficacy and safety remains limited. ObjectiveTo evaluate the efficacy and safety of rTMS in the treatment of PPD, thereby providing references for clinical treatment. MethodsDatabases including Cochrane Library, PubMed, Embase, CNKI, Wanfang, VIP and China Biology Medicine disc (CBM) were electronically searched for randomized controlled trials (RCTs) on rTMS for PPD, with the search spanning from database inception to February 8, 2025. Study quality was assessed using the Cochrane Handbook for Systematic Reviews of Interventions 5.0.1, and the certainty of evidence was graded according to the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. Meta-analysis was conducted using RevMan 5.3 and Stata 12.0. The outcomes of the Meta-analysis included the total effective rate, Edinburgh Postnatal Depression Scale (EPDS) score, Hamilton Depression Rating Scale (HAMD) score, and adverse reactions (dizziness, headache, nausea, diarrhea, and the overall incidence of adverse reactions). ResultsA total of 11 studies involving 729 patients with PPD were included. Meta-analysis results showed that the total effective rate in the study group was significantly higher than that in the control group (OR=5.54, 95% CI: 3.07–10.01, P<0.01). Both EPDS score (SMD=-2.38, 95% CI: -3.39–-1.37, P<0.01) and HAMD score (SMD=2.53, 95% CI: 1.21–3.85, P<0.01) in the study group were significantly lower than those in the control group, with statistically significant differences. Comparisons between the study group and control group reveal no significant differences in the incidence of dizziness and headache (RR=1.47, 95% CI: 0.63–3.43, P>0.05), nausea (RR=1.46, 95% CI: 0.55–3.86, P>0.05), diarrhea (RR=0.71, 95% CI: 0.23–2.20, P>0.05), and overall adverse reactions (RR=1.30, 95% CI: 0.79–2.15, P>0.05). GRADE assessment rated the four indicators of dizziness and headache, diarrhea, overall incidence of adverse reactions, and EPDS score as "moderate-certainty evidence", and rated the total effective rate, nausea, and the HAMD score as "low-certainty evidence". ConclusionrTMS demonstrates certain therapeutic efficacy for PPD, with a safety profile comparable to conventional treatment. [Funded by Sichuan Psychological Society Research Planning Project (number, SCSXLXH202403099); Guiding Science and Technology Plan Project of Guangyuan (number, 23ZDYF0095)]

Result Analysis
Print
Save
E-mail