1.Risk factors for open gingival embrasures in the mandibular central incisor region among adult non-extraction patients treated with clear aligner therapy
WEI Xiaojiao ; HAN Shuang ; TANG Chenxin ; ZHANG Hao
Journal of Prevention and Treatment for Stomatological Diseases 2026;34(1):54-64
Objective:
To investigate the incidence and risk factors of open gingival embrasures (OGEs) in the incisor region after treatment with clear aligners in adult non-extraction patients and provide a reference for preventing the occurrence of an open gingival wedge gap in the incisal area after orthodontic treatment.
Methods:
This study has been reviewed and approved by the institutional medical ethics committee, and informed consent was obtained from the patients. A total of 125 adult patients with malocclusion who completed clear aligner treatment at Hefei Stomatological Hospital from September 2022 to December 2024 were selected as the study subjects. Based on the presence or absence of OGEs in the incisor region observed in frontal intraoral photographs taken immediately after treatment completion, the patients were divided into a normal group and an OGE group. Clinical data, including intraoral photographs, digital models, and cone-beam computed tomography before and after treatment, were analyzed. Measurements such as incisor overlap and rotation, crown morphology, number of attachments, and interproximal enamel reduction (IPR) were recorded and analyzed.
Results:
The incidence of OGEs between the maxillary and mandibular central incisors after clear aligner treatment in adult patients was 28.8% and 39.2%, respectively. No statistically significant differences were observed between the normal and OGE groups in terms of sex, Angle's classification, gingival biotype, overbite, overjet, IPR amount, age, treatment duration, tooth axis angulation, or horizontal movement distance of mandibular central incisors before and after treatment (P 0.05). However, significant differences were found in the number of attachments, anteroposterior distance between mesial incisal angles, distance from the interproximal contact point (ICP) to the alveolar bone crest (ABC) (ICP-ABC), horizontal distance between mesial cementoenamel junction (CEJ) of two adjacent central incisors (CEJ-CEJ) and labial alveolar bone thickness (P 0.05). IPR amount and mandibular incisor intrusion were significantly associated with the severity of OGEs (P 0.05). Regression analysis revealed that the number of attachments, anteroposterior distance between mesial incisal angles, ICP-ABC distance, and CEJ-CEJ horizontal distance were significantly correlated with the occurrence of OGEs.
Conclusion
The incidence of open gingival embrasures in the mandibular central incisor region is relatively high among adult patients treated with clear aligners. The number of attachments (n = 2), the anteroposterior distance between the mesio-incisal angles, the distance from the tooth contact point to the alveolar bone crest, and the horizontal distance between adjacent cementoenamel junctions have been identified as risk factors for the development of open gingival embrasures upon completion of orthodontic treatment.
2.Advances in Diabetic Peripheral Neuropathy Treatment by Traditional Chinese Medicine Based on Cellular Senescence: A Review
Qixian MA ; Shiyu HAN ; Hui HUANG ; Jing TIAN ; Xu HAN ; Qingguang CHEN ; Hao LU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(5):322-330
Diabetic Peripheral Neuropathy (DPN) is one of the most common and harmful complications of type 2 diabetes. DPN's pathogenesis include high blood sugar-induced oxidative stress, inflammation, and mitochondrial dysfunction. These factors are combined to damage nerve fibers, leading to sensory issues, pain, and numbness. Through a coordinated effect, these factors trigger nerve fiber damage and lead to sensory abnormalities, pain and numbness in limbs, and other symptoms, seriously restricting patients' activities of daily living and mobility. Recent research highlights that cellular senescence plays a critical role in DPN. Cellular senescence is manifested by the loss of cell proliferation ability, and further aggravates nerve damage via oxidative stress, mitochondrial dysfunction, autophagy impairment, inflammatory reaction, and other mechanisms, accelerating DPN occurrence and progression. In terms of medical treatment, current methods focus on blood sugar control, pain relief medicine, and microcirculation improvement, while no therapy has been developed based on cellular senescence. In contrast, traditional Chinese medicine (TCM) shows a unique advantage in DPN prevention and treatment via cellular senescence modulation. TCM emphasizes a holistic approach, as well as syndrome differentiation and treatment, effective in anti-aging and nerve damage repair. Recent studies show that TCM active ingredients, including puerarin, ginsenosides, and berberine, can reduce inflammation, oxidative stress, and apoptosis via signaling pathway regulation, thereby slowing cellular senescence to alleviate nerve damage. Furthermore, TCM compounds such as Buyang Huanwutang, Taohong Siwutang, and Huangqi Guizhi Wuwutang exert synergistic effects on cellular senescence-related pathways to improve nerve health and reduce DPN clinical symptoms. Therefore, this paper reviews the literature related to the interaction between cellular senescence and DPN from the perspective of cellular senescence, summarizing the mechanism of DPN and TCM intervention strategies.
3.Ionizing Radiation-induced Lens Injury: Epidemiology, Dose-effect Relationship, and Molecular Mechanisms
Cheng-Hao HU ; Shao-Han REN ; Hai-Tao ZHANG ; Jing-Ming ZHAN
Progress in Biochemistry and Biophysics 2026;53(3):688-696
The crystalline lens of the eye is recognized as one of the most radiosensitive tissues in the human body. While the International Commission on Radiological Protection (ICRP) has classified ionizing radiation (IR)-induced cataracts as a tissue reaction (deterministic effect) and subsequently reduced the occupational equivalent dose limit for the lens, significant uncertainties remain regarding the precise dose threshold and the complex biological pathways driving lens opacification. This review provides a comprehensive synthesis of current knowledge concerning radiation-induced lens damage, integrating epidemiological exposure characteristics with dose-response modeling and mechanistic molecular insights. First, we analyze exposure characteristics through four epidemiological dimensions: dose, time, space, and population. Clinical evidence suggests that radiation cataracts—particularly posterior subcapsular opacities—exhibit a distinct latency period that is inversely correlated with dose. We highlight that risk is not confined to acute high-dose scenarios (such as in atomic bomb survivors) but is increasingly relevant in chronic low-dose occupational settings (e.g., interventional radiology) and medical diagnostics (e.g., CT scans). Crucially, individual susceptibility is modified by genetic background, age, and environmental co-factors, complicating risk assessment. Second, we critically examine the dose-effect relationship. Although the ICRP suggests a threshold of 0.5 Gy, emerging data challenge the traditional threshold model, with some studies advocating for a linear non-threshold (LNT) relationship. We further discuss the critical roles of radiation quality and dose rate. High linear energy transfer (LET) radiation demonstrates a significantly higher relative biological effectiveness (RBE) for cataractogenesis compared to low-LET radiation. Paradoxically, and unlike many other tissues, the lens may exhibit an “inverse dose-rate effect,” where fractionated or protracted exposures potentially enhance biological damage—a finding that challenges classical radiobiological paradigms. Third, drawing upon the “cataractogenic load” hypothesis and the unique physiological constraints of the lens, this review elucidates the multidimensional molecular mechanisms driving radiation-induced opacification. Key mechanisms include four aspects. (1) DNA damage and repair: IR induces DNA double-strand breaks (DSBs) that, due to the lens’ limited repair capacity (modulated by genes such as ATM, Ptch1, and Ercc2), lead to the accumulation of damage. (2) Antioxidant defense system: dysfunction of the Nrf2/HO-1 antioxidant axis results in redox imbalances, triggering NF-κB-mediated inflammation and protein aggregation. (3) Cell proliferation and senescence: IR disrupts cell cycle regulation, causing a dichotomy of effects—driving premature senescence in some cell populations (evidenced by ATM nuclear foci) while inducing aberrant proliferation via growth factor upregulation (FGF2, TGFβ) in others. (4) Cell migration and adhesion: activation of the Wnt/β‑catenin pathway and alterations in the E-cadherin complex promote the abnormal migration of epithelial cells to the posterior capsule, a hallmark of radiation-induced cataracts. In conclusion, radiation-induced cataractogenesis is a multifactorial process in which genetic susceptibility and environmental stressors converge to overwhelm the lens’ homeostatic thresholds. Future research must prioritize longitudinal cohort studies to refine dose thresholds and employ multi-omics approaches to map the crosstalk between DNA damage responses and matrix remodeling. Establishing a robust mechanistic model is essential for developing targeted radioprotective strategies and optimizing radiation protection standards for occupational and medical safety.
4.Traditional Chinese medicine syndrome and syndrome differentiation-based treatment of Wilson disease
Wenjie HAO ; Wenming YANG ; Ting CHENG ; Hailin JIANG ; Han WANG ; Meixia WANG
Journal of Clinical Hepatology 2026;42(3):522-528
Wilson disease (WD) is an autosomal recessive disorder of copper metabolism, and decoppering therapy and symptomatic treatment are the main Western medicine therapies for WD. This article systematically reviews the understanding of the etiology and pathogenesis of WD in traditional Chinese medicine (TCM) and points out that abnormal natural endowment is the core etiology and pathogenesis of WD, with internal accumulation of copper toxicity as the manifestation, liver/spleen/kidney dysfunction as the root cause, and intermingled “toxin, stasis, phlegm, and deficiency” as the key pathogenesis. Literature research and clinical observation are conducted to summarize the common TCM syndromes of WD, including stagnation of liver Qi, internal retention of damp-heat, phlegm-stasis-heat accumulation syndrome, liver-kidney Yin deficiency syndrome, spleen-kidney Yang deficiency, and syndrome of deficiency damage and phlegm stasis. This article proposes the corresponding therapies and representative prescriptions for each syndrome and discusses the advantages of treatment by stage and integrated traditional Chinese and Western medicine therapy. This article aims to provide a systematic reference for the syndrome differentiation-based treatment of WD in clinical practice of TCM, thereby giving full play to the advantages of TCM in the treatment of this disease.
5.Correlation between cognitive dysfunction and autonomic nerve function damage in patients with cerebral small vessel disease
Yingjie ZHANG ; Fangfang HAO ; Wenyan HAN ; Yaning ZHANG
Journal of Public Health and Preventive Medicine 2026;37(3):147-150
Objective To study the correlation of cognitive dysfunction with autonomic nerve function damage in patients with cerebral small vessel disease (CSVD). Methods A total of 310 patients with CSVD admitted from June 2022 to June 2025 were included. Montreal Cognitive Assessment Scale (MoCA) was applied for cognitive function assessment, and Scale for Outcomes in PD for Autonomic Symptoms (SCOPA-AUT) was used to evaluate autonomic nerve function damage. The incidence rate of autonomic nerve function damage, total score and dimensions scores of SCOPA-AUT were counted. According to the presence or absence of autonomic nerve function damage, the enrolled patients were categorized into damage group and non-damage group. The total score of MoCA and scores of dimensions were compared between both groups. Pearson correlation analysis model was utilized to analyze the correlation between total score of MoCA and scores of dimensions of SCOPA-AUT in patients with CSVD. Results Among the 310 patients, 63.87% cases (198 / 310) had autonomic nerve function damage. The SCOPA-AUT total score and scores of dimensions of gastrointestinal function, urinary system function, cardiovascular function, body temperature regulation, pupil movement and sexual function were (34.16 ± 10.41) points, (10.25 ± 3.31) points, (9.44 ± 2.89) points, (4.02 ± 1.66) points, (6.41 ± 2.35) points, (1.35 ± 0.49) points and (2.69 ± 0.81) points. The total score of MoCA and scores of language function, naming, delayed recall and attention in the damage group were lower than those in the non-damage group (P < 0.05). Pearson correlation analysis results revealed that the total score, urinary system score, cardiovascular function score and body temperature regulation score of SCOPA-AUT were negatively correlated with the total score of MoCA (r = -0.545, -0.598, -0.607, -0.615, P < 0.05), and the gastrointestinal function score, pupil movement score and sexual function score were not significantly associated with total score of MoCA (P > 0.05). Conclusion The risk of autonomic nerve function damage is high in patients with CSVD, and it involves multiple systems and is closely related to the cognitive function of patients.
6.External validation of the model for predicting high-grade patterns of stage ⅠA invasive lung adenocarcinoma based on clinical and imaging features
Yu RONG ; Nianqiao HAN ; Yanbing HAO ; Jianli HU ; Yajin NIU ; Lan ZHANG ; Yuehua DONG ; Nan ZHANG ; Junfeng LIU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(08):1096-1104
Objective To externally validate a prediction model based on clinical and CT imaging features for the preoperative identification of high-grade patterns (HGP), such as micropapillary and solid subtypes, in early-stage lung adenocarcinoma, in order to guide clinical treatment decisions. Methods This study conducted an external validation of a previously developed prediction model using a cohort of patients with clinical stage ⅠA lung adenocarcinoma from the Fourth Hospital of Hebei Medical University. The model, which incorporated factors including tumor size, density, and lobulation, was assessed for its discrimination, calibration performance, and clinical impact. Results A total of 650 patients (293 males, 357 females; age range: 30-82 years) were included. The validation showed that the model demonstrated good performance in discriminating HGP (area under the curve>0.7). After recalibration, the model's calibration performance was improved. Decision curve analysis (DCA) indicated that at a threshold probability>0.6, the number of HGP patients predicted by the model closely approximated the actual number of cases. Conclusion This study confirms the effectiveness of a clinical and imaging feature-based prediction model for identifying HGP in stage ⅠA lung adenocarcinoma in a clinical setting. Successful application of this model may be significant for determining surgical strategies and improving patients' prognosis. Despite certain limitations, these findings provide new directions for future research.
7.Analysis of risk factors for diaphragmatic dysfunction after cardiovascular surgery with extracorporeal circulation: A retrospective cohort study
Xupeng YANG ; Yi SHI ; Fengbo PEI ; Simeng ZHANG ; Hao MA ; Zengqiang HAN ; Zhou ZHAO ; Qing GAO ; Xuan WANG ; Guangpu FAN
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(08):1140-1145
Objective To clarify the risk factors of diaphragmatic dysfunction (DD) after cardiac surgery with extracorporeal circulation. Methods A retrospective analysis was conducted on the data of patients who underwent cardiac surgery with extracorporeal circulation in the Department of Cardiovascular Surgery of Peking University People's Hospital from January 2023 to March 2024. Patients were divided into two groups according to the results of bedside diaphragm ultrasound: a DD group and a control group. The preoperative, intraoperative, and postoperative indicators of the patients were compared and analyzed, and independent risk factors for DD were screened using multivariate logistic regression analysis. Results A total of 281 patients were included, with 32 patients in the DD group, including 23 males and 9 females, with an average age of (64.0±13.5) years. There were 249 patients in the control group, including 189 males and 60 females, with an average age of (58.0±11.2) years. The body mass index of the DD group was lower than that of the control group [(18.4±1.5) kg/m2 vs. (21.9±1.8) kg/m2, P=0.004], and the prevalence of hypertension, chronic obstructive pulmonary disease, heart failure, and renal insufficiency was higher in the DD group (P<0.05). There was no statistical difference in intraoperative indicators (operation method, extracorporeal circulation time, aortic clamping time, and intraoperative nasopharyngeal temperature) between the two groups (P>0.05). In terms of postoperative aspects, the peak postoperative blood glucose in the DD group was significantly higher than that in the control group (P=0.001), and the proportion of patients requiring continuous renal replacement therapy was significantly higher than that in the control group (P=0.001). The postoperative reintubation rate, tracheotomy rate, mechanical ventilation time, and intensive care unit stay time in the DD group were higher or longer than those in the control group (P<0.05). Multivariate logistic regression analysis showed that low body mass index [OR=0.72, 95%CI (0.41, 0.88), P=0.011], preoperative dialysis [OR=2.51, 95%CI (1.89, 4.14), P=0.027], low left ventricular ejection fraction [OR=0.88, 95%CI (0.71, 0.93), P=0.046], and postoperative hyperglycemia [OR=3.27, 95%CI (2.58, 5.32), P=0.009] were independent risk factors for DD. Conclusion The incidence of DD is relatively high after cardiac surgery, and low body mass index, preoperative renal insufficiency requiring dialysis, low left ventricular ejection fraction, and postoperative hyperglycemia are risk factors for DD.
8.The Invariant Neural Representation of Neurons in Pigeon’s Ventrolateral Mesopallium to Stereoscopic Shadow Shapes
Xiao-Ke NIU ; Meng-Bo ZHANG ; Yan-Yan PENG ; Yong-Hao HAN ; Qing-Yu WANG ; Yi-Xin DENG ; Zhi-Hui LI
Progress in Biochemistry and Biophysics 2025;52(10):2614-2626
ObjectiveIn nature, objects cast shadows due to illumination, forming the basis for stereoscopic perception. Birds need to adapt to changes in lighting (meaning they can recognize stereoscopic shapes even when shadows look different) to accurately perceive different three-dimensional forms. However, how neurons in the key visual brain area in birds handle these lighting changes remains largely unreported. In this study, pigeons (Columba livia) were used as subjects to investigate how neurons in pigeon’s ventrolateral mesopallium (MVL) represent stereoscopic shapes consistently, regardless of changes in lighting. MethodsVisual cognitive training combined with neuronal recording was employed. Pigeons were first trained to discriminate different stereoscopic shapes (concave/convex). We then tested whether and how light luminance angle and surface appearance of the stereoscopic shapes affect their recognition accuracy, and further verify whether the results rely on specify luminance color. Simultaneously, neuronal firing activity of neurons was recorded with multiple electrode array implanted from the MVL during the presentation of difference shapes. The response was finally analyzed how selectively they responded to different stereoscopic shapes and whether their selectivity was affected by the changes of luminance condition (like lighting angle) or surface look. Support vector machine (SVM) models were trained on neuronal population responses recorded under one condition (light luminance angle of 45°) and used to decode responses under other conditions (light luminance angle of 135°, 225°, 315°) to verify the invariance of responses to different luminance conditions. ResultsBehavioral results from 6 pigeons consistently showed that the pigeons could reliably identify the core 3D shape (over 80% accuracy), and this ability wasn’t affected by changes in light angle or surface appearance. Statistical analysis of 88 recorded neurons from 6 pigeons revealed that 83% (73/88) showed strong selectivity for specific 3D shapes (selectivity index>0.3), and responses to convex shapes were consistently stronger than to concave shapes. These shape-selective responses remained stable across changes in light angle and surface appearance. Neural patterns were consistent under both blue and orange lighting. The decoding accuracy achieves above 70%, suggesting stable responses under different conditions (e.g., different lighting angles or surface appearance). ConclusionNeurons in the pigeon MVL maintain a consistent neural encoding pattern for different stereoscopic shapes, unaffected by illumination or surface appearance. This ensures stable object recognition by pigeons in changing visual environments. Our findings provide new physiological evidence for understanding how birds achieve stable perception (“invariant neural representations”) while coping with variations in the visual field.
9.Trend in incidence and change in age at onset of malignant tumor in cancer registration areas of Jiangsu Province from 2009 to 2021
HAN Renqiang ; MIAO Weigang ; YU Hao ; TAO Ran ; ZHOU Jinyi
Journal of Preventive Medicine 2025;37(10):979-984,990
Objective:
To investigate the trend in incidence and change in age at onset of malignant tumor in cancer registration areas of Jiangsu Province from 2009 to 2021, so as to provide the evidence for formulating cancer prevention and control strategies and optimizing the allocation of healthcare resources.
Methods:
Incidence data of malignant tumor cases from 2009 to 2021 were collected from the aggregated database of 16 qualified cancer registries of Jiangsu Province. The crude incidence, age-specific incidence, average age at onset, proportion of age-specific incidence, and proportion of incidence in cases aged ≥60 years were calculated by genders and urban/rural areas, and age-standardized using the Segi's world standard population. The trend in incidence of malignant tumor from 2009 to 2021 was evaluated using average annual percent change (AAPC). The trend in average age at onset of malignant tumor from 2009 to 2021 was evaluated using the linear regression model.
Results:
From 2009 to 2021, a total of 703 185 cases of malignant tumor were reported in Jiangsu Province, comprising 400 970 males and 302 215 females. The crude incidence of malignant tumor increased from 268.26/100 000 in 2009 to 380.97/100 000 in 2021 (AAPC=2.880%, P<0.05). From 2009 to 2021, the world population-standardized incidence of malignant tumor showed upward trends in the total population, females, and urban and rural areas (AAPC=0.635%, 2.332%, 0.795%, and 0.385%, all P<0.05), while a downward trend was observed in males (AAPC=-0.608%, P<0.05). From 2009 to 2021, the crude incidence of malignant tumor in the groups aged 0-<30 years, 30-<40 years, 40-<50 years, 60-<70 years, and ≥80 years showed upward trends (AAPC=3.160%, 4.462%, 1.295%, 0.569%, and 1.496%, all P<0.05), a downward trend was found in the group aged 50-<60 years (AAPC=-0.860%, P<0.05), while no statistically significant trend was observed in the group aged 70-<80 years (P>0.05). The world population-standardized average age at onset showed downward trends in the total population, females, and urban areas, with average annual decreases of 0.085, 0.223, and 0.136 years, respectively (all P<0.05). Conversely, an upward trend was observed in males, with an average annual increase of 0.081 years (P<0.05). No statistically significant trend was found in rural areas (P>0.05). Compared with 2009, the proportion of malignant tumor incidence cases increased in all age groups between 20-<50 years in 2021. Additionally, the proportion of malignant tumor cases aged over 60 years showed a downward trend from 2009 to 2021 (AAPC=-0.322%, P<0.05).
Conclusions
From 2009 to 2021, the overall incidence of malignant tumor in registration areas of Jiangsu Province showed an upward trend, with the age at onset tending to become younger. There were differences in the incidence trends across genders and urban/rural areas.
10.A machine learning approach for the diagnosis of obstructive sleep apnoea using oximetry, demographic and anthropometric data.
Zhou Hao LEONG ; Shaun Ray Han LOH ; Leong Chai LEOW ; Thun How ONG ; Song Tar TOH
Singapore medical journal 2025;66(4):195-201
INTRODUCTION:
Obstructive sleep apnoea (OSA) is a serious but underdiagnosed condition. Demand for the gold standard diagnostic polysomnogram (PSG) far exceeds its availability. More efficient diagnostic methods are needed, even in tertiary settings. Machine learning (ML) models have strengths in disease prediction and early diagnosis. We explored the use of ML with oximetry, demographic and anthropometric data to diagnose OSA.
METHODS:
A total of 2,996 patients were included for modelling and divided into test and training sets. Seven commonly used supervised learning algorithms were trained with the data. Sensitivity (recall), specificity, positive predictive value (PPV) (precision), negative predictive value, area under the receiver operating characteristic curve (AUC) and F1 measure were reported for each model.
RESULTS:
In the best performing four-class model (neural network model predicting no, mild, moderate or severe OSA), a prediction of moderate and/or severe disease had a combined PPV of 94%; one out of 335 patients had no OSA and 19 had mild OSA. In the best performing two-class model (logistic regression model predicting no-mild vs. moderate-severe OSA), the PPV for moderate-severe OSA was 92%; two out of 350 patients had no OSA and 26 had mild OSA.
CONCLUSION
Our study showed that the prediction of moderate-severe OSA in a tertiary setting with an ML approach is a viable option to facilitate early identification of OSA. Prospective studies with home-based oximeters and analysis of other oximetry variables are the next steps towards formal implementation.
Humans
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Oximetry/methods*
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Sleep Apnea, Obstructive/diagnosis*
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Male
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Female
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Middle Aged
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Machine Learning
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Polysomnography
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Adult
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Anthropometry
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ROC Curve
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Aged
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Algorithms
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Predictive Value of Tests
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Sensitivity and Specificity
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Neural Networks, Computer
;
Demography


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