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.

Dietary interventions such as fasting are gaining increasing attention for their synergistic effects in anti-tumor therapy, yet the precise underlying mechanisms remain incompletely understood. Recent research has unveiled a novel mode of cell death named “mitoxyperilysis”, providing a fresh perspective on the molecular mechanisms by which fasting may interfere with tumor treatment. This form of death is primarily triggered by the synergy between metabolic dysfunction and innate immune activation. Its mechanism involves the mTORC2 signaling pathway mediating prolonged abnormal contact between damaged mitochondria and the plasma membrane. This leads to massive local release of reactive oxygen species (ROS), which further induces lipid peroxidation of the plasma membrane, ultimately resulting in the physical rupture and death of the cell. The most significant distinction between mitoxyperilysis and classical cell death pathways lies in its independence from caspases and GSDMD. This comment aims to systematically elucidate the process, molecular mechanisms, and differences from other classical cell death pathways of mitoxyperilysis, while also exploring its potential for clinical translation in oncological diseases. Targeting induction of mitoxyperilysis may enhance the efficacy of existing anti-tumor drugs and overcome chemotherapy resistance. However, intervention protocols require further optimization to achieve an optimal balance between safety and therapeutic effectiveness in clinical application.

Objective To explore a method for rapid and differential diagnosis of rejection after kidney transplantation through urine hyperspectral imaging technology. Methods Hyperspectral data information from urine samples of 118 recipients after kidney transplantation was collected, and a deep learning model was constructed to diagnose and classify the types of rejection. Results A deep learning diagnostic model based on the 34-layer residual network (ResNet-34) was constructed, and 118 patients were included and divided into the training set and the test set. Based on the pathological results of the transplanted kidney puncture, the urine samples of the patients were classified into five groups: the non-rejection group, the T-cell-mediated rejection group, the antibody-mediated rejection group, the mixed rejection group and the nephropathy recurrence group. The results showed that the diagnostic sensitivities of the model for the above five groups were 0.960, 0.980, 0.930, 0.940 and 0.943 respectively, and the diagnostic specificities were 0.983, 0.993, 0.997, 0.989 and 0.989 respectively. The overall diagnostic accuracy rate reached 95.7%. Conclusions The study provides a non-invasive, rapid and accurate auxiliary diagnostic method for the differential diagnosis of rejection after kidney transplantation.

AIM: To investigate the differences in morphological structure and retinal blood perfusion between the affected eye and the contralateral healthy eye using optical coherence tomography angiography(OCTA)in patients with idiopathic macular epiretinal membrane(IMEM)before and after surgery, and to evaluate the association of these parameters with functional and anatomical outcomes to inform prognostic assessment. METHODS:A prospective study was conducted at Zhejiang Provincial People's Hospital between January 2023 and December 2024. Consecutive patients diagnosed with unilateral IMEM were enrolled; the fellow eye served as an internal control. All participants underwent standardized ophthalmic evaluations, including optical coherence tomography(OCT), OCTA, and color fundus photography. Key quantitative parameters assessed included best-corrected visual acuity(BCVA), central macular thickness(CMT), foveal avascular zone(FAZ)area, vessel density in the inner capillary plexus(ICP), superficial capillary plexus(SCP), deep capillary plexus(DCP), and choroidal capillary perfusion area(CCPA). Measurements were obtained preoperatively and at 1 and 3 mo postoperatively. Correlation analyses were performed between the above parameters and postoperative BCVA and CMT.RESULTS: This study enrolled 30 patients(60 eyes)diagnosed with IMEM, comprising 14 males and 16 females, with a mean age of 65.4±10.8 y.At baseline, IMEM-affected eyes demonstrated significantly reduced BCVA, DCP density, and FAZ area, alongside significantly increased CMT and CCPA, compared with contralateral controls. Following vitrectomy with membrane peeling, CMT decreased significantly at both 1 and 3 mo(both P<0.05)postoperatively; DCP density and BCVA showed significant improvement(both P<0.05). No significant change in FAZ area was observed postoperatively(P>0.05). At 3 mo postoperatively, BCVA of the affected eye was negatively correlated with CMT(r=-0.549, P=0.022). At 1 mo postoperatively, CMT was negatively correlated with preoperative DCP and FAZ, positively correlated with preoperative CMT, and positively correlated with ICP and SCP at 1 mo postoperatively, and negatively correlated with FAZ at 1 mo postoperatively(all P<0.05). Furthermore, CMT at 3 mo postoperatively was negatively correlated with preoperative DCP(r=-0.498,P=0.042).CONCLUSION:In patients with IMEM, the affected eyes exhibit significantly reduced DCP density and FAZ area, alongside increased CMT and CCPA. Following vitrectomy with membrane peeling, CMT decreased progressively, DCP density demonstrated partial restoration, and vision improved gradually. Preoperatively, smaller CMT larger DCP, and FAZ were associated with more favorable surgical outcomes; postoperatively, smaller ICP and SCP densities—combined with a larger FAZ—also correlated with better functional recovery.

First recorded in an official medical book from the Northern Song Dynasty called Taiping Huimin Heji Ju Fang （Prescriptions of the Bureau of Taiping People's Welfare Pharmacy）， Xiaoyaosan has been developed and refined over generations and is preserved to this day. It specializes in soothing the liver，resolving stagnation，fortifying the spleen，and nourishing blood. In this study，ancient traditional Chinese medicine （TCM） books and contemporary studies were reviewed to obtain information on Xiaoyaosan using bibliometrics，including its historical development，dosage，origin，processing methods，decoction dosage，and ancient and modern indications. Furthermore，a question regarding the presence of Zingiberis Rhizoma Recens and Menthae Haplocalycis Herba in Xiaoyaosan was investigated，and a table of key information on Xiaoyaosan was compiled，providing references for developing Xiaoyaosan preparations. According to the weight and measurement system of the Song dynasty，the contemporary equivalent formulation of the decocted Xiaoyaosan consists of 20.65 g of Glycyrrhizae Radix et Rhizoma and 41.3 g of Angelica Sinensis Radix，Poria，Paeoniae Radix Alba，Atractylodis Macrocephalae Rhizoma，and Bupleuri Radix. The formulation is processed to obtain a mixed powder with a particle size of 10 mesh. For each dose，8.25 g of the mixed powder is combined with 1 g of unprocessed Zingiberis Rhizoma Recens and 0.62 g of Menthae Haplocalycis Herba in 300 mL of water. The mixture is decocted until the volume reaches 210 mL，and the residue is then removed，with no specific timing required for administration. After the processing，each dose consists of approximately 0.75 g of Glycyrrhizae Radix et Rhizoma and 1.50 g of Radix Angelica Sinensis，Poria，Paeoniae Radix Alba，Atractylodis Macrocephalae Rhizoma，and Bupleuri Radix. Ancient medical literature shows that Xiaoyaosan primarily treats blood deficiency and overstrain，specifically for symptoms including heat caused by blood deficiency and fatigue，irregular menstruation，headache，eye soreness，pain in the ribs and limbs，and emaciation and bone steaming. In the Qing Dynasty，ZHANG Lu clearly proposed the pathogenesis of liver depression，and since then，the use of Xiaoyaosan in treating various syndromes associated with liver depression has been highly praised by physicians in the Qing dynasty and modern times. Xiaoyaosan has a wide application in modern clinical practices，involving digestive diseases，gynecological diseases，psychological diseases，nervous system diseases，and otorhinolaryngologic diseases. Moreover，it is most commonly used to treat depression and other diseases complicated with depression，hyperplasia of the mammary gland，etc. The key information on Xiaoyaosan and its clinical applications in ancient and modern times investigated in the study could serve as a scientific reference for in-depth research and extended clinical applications of the prescription.

Objective: To explore relationship of sleep quality with overweight and obesity among middle school students, so as to provide a reference basis for improving adolescent sleep health. Methods: From September to December 2023, 5 713 middle school students aged 13 to 18 were selected by stratified cluster random sampling method in six regions, including Shanghai, Suzhou, Taiyuan, Wuyuan, Xingyi and Urumqi. Sleep quality survey was conducted on middle school students by Pittsburgh Sleep Quality Index. Height and weight were measured, and World Health Organization s standards for growth and development of children and adolescents was used to evaluate their nutritional status. Both χ 2 test and Logistic regression analysis were used to analyze the association between sleep quality and nutritional status of middle school students. Results: The non compliance detection rate of sleep quality was 38.4% among girls, but 29.2% among boys, and the difference was of statistical significance( χ 2=54.08, P < 0.01 ). The detection rate of substandard sleep quality was 34.2% in the group with normal nutritional status, 38.3% in the group with overweight, 43.7% in the group with obesity and 26.0% in the group with emaciation, and the difference in the rates of substandard sleep quality among middle school students of different nutritional status was statistically significant ( χ 2=68.15, P <0.01). Logistic regression analysis showed that, after controlling for mental health and physical activity, the detection rate of substandard sleep quality in the obese groups was 1.30 times higher than that in the normal group, respectively( OR =1.30, 95% CI =1.06- 1.59 , P <0.01). Conclusions Sleep quality is correlated with overweight and obesity among middle school students, and there are gender differences. Intervention policies should be formulated according to the characteristics of different genders.

Objective To analyze the scanning parameters and radiation dose characteristics of pediatric CT examinations in Jiangxi Province, China, and to provide a basis for optimizing radiation protection in children. Methods The data of 1021 CT scans in children aged 0-15 years were collected from seven hospitals in Jiangxi Province, including one provincial hospital, four municipal hospitals, and two county-level hospitals. The data consisted of 405 head scans, 352 chest scans, and 264 abdominal scans. The scanning parameters kV, mAs, and scan length as well as the dose metrics weighted CT dose index and dose length product (DLP) were analyzed. Differences across age groups, anatomical regions, and hospitals were compared using one-way analysis of variance, and the results were compared with domestic and foreign studies. Results There were significant differences in scanning parameters and radiation doses among children of different age groups in CT examinations, and the differences between hospitals were also significant. The chest mAs and DLP in Hospital E were significantly higher than those in Hospital A, and the abdominal DLP in Hospital D was 4.3 times that of Hospital A. Compared with domestic and foreign studies, the DLP values of various anatomical regions in the < 1 year group were generally higher in the present study. The abdominal DLP in the < 1 year group (232.4 mGy·cm) was 3.3 times that in Tianjin. The head DLP in the 1-5 year group was higher than those in Germany and the United States. The chest DLP of the 11-15 year group was higher than that in Germany but lower than that in Henan Province. Conclusion There are significant differences in radiation doses received by children during CT examination in Jiangxi Province by age, anatomical region, and hospital, with some metrics exceeding domestic and international levels. Recommendations include optimizing scanning parameters (e.g., reducing mA/kV and adopting automatic exposure control technology), standardizing scan ranges, and establishing local diagnostic reference levels to mitigate radiation risks.

BACKGROUND: Over 20 million colonoscopies are performed in China annually. An automatic clinical decision support system (CDSS) with accurate semantic recognition of colonoscopy reports and guideline-based is helpful to relieve the increasing medical burden and standardize the healthcare. In this study, the CDSS was built under a hierarchical-label interpretable classification framework, trained by a state-of-the-art transformer-based model, and validated in a multi-center style. METHODS: We conducted stratified sampling on a previously established dataset containing 302,965 electronic colonoscopy reports with pathology, identified 2041 patients' records representative of overall features, and randomly divided into the training and testing sets (7:3). A total of five main labels and 22 sublabels were applied to annotate each record on a network platform, and the data were trained respectively by three pre-training models on Chinese corpus website, including bidirectional encoder representations from transformers (BERT)-base-Chinese (BC), the BERT-wwm-ext-Chinese (BWEC), and ernie-3.0-base-zh (E3BZ). The performance of trained models was subsequently compared with a randomly initialized model, and the preferred model was selected. Model fine-tuning was applied to further enhance the capacity. The system was validated in five other hospitals with 3177 consecutive colonoscopy cases. RESULTS: The E3BZ pre-trained model exhibited the best performance, with a 90.18% accuracy and a 69.14% Macro-F1 score overall. The model achieved 100% accuracy in identifying cancer cases and 99.16% for normal cases. In external validation, the model exhibited favorable consistency and good performance among five hospitals. CONCLUSIONS The novel CDSS possesses high-level semantic recognition of colonoscopy reports, provides appropriate recommendations, and holds the potential to be a powerful tool for physicians and patients. The hierarchical multi-label strategy and pre-training method should be amendable to manage more medical text in the future.
Humans ; Colonoscopy/methods* ; Deep Learning ; Decision Support Systems, Clinical ; Female ; Male