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Automated evaluation of parapapillary choroidal microvasculature in crowded optic discs:a controlled,optical coherence tomography angiography study

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International Journal of Ophthalmology(English edition) 2024年第1期17卷 113-118页

作者： Hatice Arda Hidayet Sener Ozge Temizyurek Hatice Kubra Sonmez Duygu Gulmez Sevim Cem Evereklioglu Fatih Horozoglu Ayse Busra Gunay Sener department of Ophthalmology Erciyes University Medical FacultyKayseri 38090Turkey department of Medical informatics and biostatistics Erciyes University Medical FacultyKayseri 38090Turkey

AIM:To compare superficial and deep vascular properties of optic discs between crowded discs and controls using optical coherence tomography angiography(OCT-A).METHODS:Thirty patients with crowded discs,and 47 control subjects were enrolled in the *** eye of each individual was included and OCT-A scans of optic discs were obtained in a 4.5×4.5 mm^(2) rectangular *** peripapillary capillary(RPC)density,peripapillary retinal nerve fiber layer(pRNFL)thickness,cup volume,rim area,disc area,cup-to-disc(c/d)area ratio,and vertical c/d ratio were obtained automatically using device *** parapapillary choroidal microvasculature(PPCMv)density was calculated using MATLAB *** the vertical c/d ratio of the optic disc was absent or small cup,it was considered as a crowded ***:The mean signal strength index of OCT-A images was similar between the crowded discs and control eyes(P=0.740).There was no difference in pRNFL between the two groups(P=0.102).There were no differences in RPC density in whole image(P=0.826)and peripapillary region(P=0.923),but inside disc RPC density was higher in crowded optic discs(P=0.003).The PPCMv density in the inner-hemisuperior region was also lower in crowded discs(P=0.026).The pRNFL thickness was positively correlated with peripapillary RPC density(r=0.498,P<0.001).The inside disc RPC density was negatively correlated with c/d area ratio(r=-0.341,P=0.002).CONCLUSION:The higher inside disc RPC density and lower inner-hemisuperior PPCMv density are found in eyes with crowded optic discs.

关键词： crowded optic disc ischemic optic neuropathy optical coherence tomography angiography parapapillary choroidal microvasculature

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An artificial intelligence diabetes management architecture based on 5G

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Digital Communications and Networks 2024年第1期10卷 75-82页

作者： Ruochen Huang Wei Feng Shan Lu Tao shan Changwei Zhang Yun Liu department of Geriatrics The First Affiliated Hospital of Nanjing Medical UniversityNanjing210096China department of Information The First Afliated Hospital of Nanjing Medical UniversityNanjing210096China department of Medical informatics School of Biomedical Engineering and InformaticsNanjing Medical UniversityNanjing211166China department of Outpatient The First Affiliated Hospital of Nanjing Medical UniversityNanjing210096China Jiangsu Key Laboratory of Wireless Communications Nanjing University of Posts and TelecommunicationsNanjing210003China

Along with the development of 5G network and Internet of Things technologies,there has been an explosion in personalized healthcare *** the 5G and Artificial Intelligence(Al)is introduced into diabetes management architecture,it can increase the efficiency of existing systems and complications of diabetes can be handled more effectively by taking advantage of *** this article,we propose a 5G-based Artificial Intelligence Diabetes Management architecture(AIDM),which can help physicians and patients to manage both acute complications and chronic *** AIDM contains five layers:the sensing layer,the transmission layer,the storage layer,the computing layer,and the application *** build a test bed for the transmission and application ***,we apply a delay-aware RA optimization based on a double-queue model to improve access efficiency in smart hospital wards in the transmission *** application layer,we build a prediction model using a deep forest *** on real-world data show that our AIDM can enhance the efficiency of diabetes management and improve the screening rate of diabetes as well.

关键词： Diabetes 5G Artificial intelligence Deep forest Smart hospital ward

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Isolation and culture of human primary osteoblasts:Comparing the effects of differences in method details on osteoblast characteristics

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Genes & Diseases 2024年第2期11卷 546-549页

作者： Fei Chen Yan Zhang Pai Peng Xiao-Ting Huang Zi-Han Qiu Bao-Cheng Liu Tie-Lin Yang Bo Yang Yan Guo Key Laboratory of biomedical Information Engineering of Ministry of Education Biomedical Informatics & Genomics CenterSchool of Life Science and TechnologyXi'an Jiaotong UniversityXi'anShaanxi 710049China department of Orthopaedics Shannxi Provincial People's Hospital (The Third Affiliated Hospital of Xi'an Jiaotong University)Xi'anShaanxi 710068China

Osteoblasts are essential in the maintenance of human bone homeostasis.1 The abnormal formation and impaired differentiation ability of osteoblasts are pivotal factors leading to bone-related diseases,suggesting that an indepth study of osteoblasts can provide novel treatment strategies for these diseases.2 Human primary osteoblasts are precious experimental models in bone-related research.3 However,the isolation and culture of human primary osteoblasts still have some difficulties and ***,we refined a method to isolate and culture human primary osteoblasts by taking cancellous bone through a bone tissue sampler and pre-digesting it with pancreatin,which makes the process easier,cheaper,and more ***,we compared the effects of the subtle changes in isolation and culture methods on the phenotype of human primary osteoblasts and examined the differences in morphology,proliferation,and differentiation between micro-explants cultured osteoblasts(MECOBs)and explants cultured osteoblasts(EC-OBs).

关键词： impaired culture details

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Ferroptosis mediators vary in metabolic syndrome,type-2 diabetes,and hypercholesterolemia:A meta-analysis report

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Genes & Diseases 2024年第3期11卷 109-112页

作者： Indra Kundu Ashlesha Pande Tannishtha Das Susan Idicula-Thomas biomedical informatics Centre Indian Council of Medical Research-National Institute for Research in Reproductive and Child HealthMumbaiMaharashtra 400012India department of Biotechnology St.Xavier's CollegeKolkataWest Bengal 700016India

Metabolic syndrome(MetS)is a complex disorder characterized by the coexistence of phenotypes such as obesity,hypertension,hyperglycemia,high triglyceride level,and low level of high-density lipoprotein *** majorly dri... 详细信息

关键词： obesity cholesterol diabetes

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Network analyses:Inhibition of androgen receptor signaling reduces inflammation in the lung through AR-MAF-IL6 signaling axes

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Genes & Diseases 2024年第3期11卷 140-143页

作者： Albert R.Wang Andrew M.Baschnagel Zijian Ni Sean R.Brennan Hypatia K.Newton Darya Buehler Christina Kendziorski Randall J.Kimple Gopal lyer department of Human Oncology University of Wisconsin School of Medicine and Public HealthUniversity of WisconsinMadisonWI 53705USA department of biomedical Engineering University of Wisconsin-MadisonMadisonWI 53705USA University of Wisconsin Carbone Cancer Center MadisonWI 53705USA department of biostatistics and Medical informatics University of Wisconsin-MadisonMadisonWI 53706USA department of Biology Tufts UniversityMedfordMA 02155USA department of Pathology and Laboratory Medicine University of Wisconsin School of Medicine and Public HealthUniversity of WisconsinMadisonWI 53705USA

Androgen receptor(AR)is a major transcription factor that plays a role in inflammatory response including interleukin-6(IL6)signaling.1 While AR regulation through paracrine loop signaling in prostate tissue is well-studied,its impact through an IL6 autocrine loop in the lung has not been wellstudied despite the organ's response to respiratory viral *** inhibition and RNA knockdown of AR identified a bZIP transcription factor MAF to be a common target of inflammation using these perturbations in lung cells.

关键词： inflammation lung respiratory

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Sliced Average Variance Estimation for Tensor Data

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Acta Mathematicae Applicatae Sinica 2024年第3期40卷 630-655页

作者： Chuan-quan LI Pei-wen XIAO Chao YING Xiao-hui LIU School of Statistics Jiangxi University of Finance and EconomicsNanchang 330013China Key Laboratory of Data Science in Finance and Economics Jiangxi University of Finance and EconomicsNanchang 330013China biostatistics and Medical informatics University of Wisconsin MadisonMadison 53726USA

Tensor data have been widely used in many fields,e.g.,modern biomedical imaging,chemometrics,and economics,but often suffer from some common issues as in high dimensional *** to find their low-dimensional latent structure has been of great interest for *** this end,we develop two efficient tensor sufficient dimension reduction methods based on the sliced average variance estimation(SAVE)to estimate the corresponding dimension reduction *** first one,entitled tensor sliced average variance estimation(TSAVE),works well when the response is discrete or takes finite values,but is not■consistent for continuous response;the second one,named bias-correction tensor sliced average variance estimation(CTSAVE),is a de-biased version of the TSAVE *** asymptotic properties of both methods are derived under mild *** and real data examples are also provided to show the superiority of the efficiency of the developed methods.

关键词： tensor data sliced average variance estimation sufficient dimension reduction central subspace

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Validity of fatty liver prediction scores for diagnosis of fatty liver by Fibroscan

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Hepatobiliary & Pancreatic Diseases International 2024年第4期23卷 353-360页

作者： Seogsong Jeong Sun Jae Park Seong Kyun Na Sang Min Park Byung-Cheol Song Yun Hwan Oh department of biomedical Sciences Seoul National University Graduate SchoolSeoul 03080Korea department of biomedical informatics CHA University School of MedicineCHA UniversitySeongnam 13488Korea department of Internal Medicine Inje University College of MedicineSeoul 50834Korea department of Family Medicine Seoul National University HospitalSeoul National University College of MedicineSeoul 03080Korea department of Internal Medicine Jeju National University HospitalJeju National University College of MedicineJeju 63241Korea department of Family Medicine Jeju National University HospitalJeju National University College of MedicineJeju 63241Korea department of Family Medicine Chung-Ang University Gwangmyeong HospitalChung-Ang University College of MedicineGwangmyeong 14353Korea

Background:The Korea National Health and Nutrition Examination Survey nonalcoholic fatty liver disease(K-NAFLD)score was recently developed with the intent to operationally define nonalcoholic fatty liver disease(NAFLD).However,there remained an external validation that confirmed its diagnostic performance,especially in patients with alcohol consumption or hepatitis virus ***:Diagnostic accuracy of the K-NAFLD score was evaluated in a hospital-based cohort consisting of 1388 participants who received Fibroscan®.Multivariate-adjusted logistic regression models and the contrast estimation of receiver operating characteristic curves were used for validation of the K-NAFLD score,fatty liver index(FLI),and hepatic steatosis index(HSI).Results:K-NAFLD-moderate[adjusted odds ratio(aOR)=2.53,95%confidence interval(CI):1.13-5.65]and K-NAFLD-high(aOR=4.14,95%CI:1.69-10.13)groups showed higher risks of fatty liver compared to the K-NAFLD-low group after adjustments for demographic and clinical characteristics,and FLI-moderate and FLI-high groups revealed aORs of 2.05(95%CI:1.22-3.43)and 1.51(95%CI:0.78-2.90),*** addition,the HSI was less predictive for Fibroscan®-defined fatty *** K-NAFLD and FLI also demonstrated high accuracy in the prediction of fatty liver in patients with alcohol consumption and chronic hepatitis virus infection,and the adjusted area under curve values were comparable between K-NAFLD and ***:Externally validation of the K-NAFLD and FLI showed that these scores may be a useful,noninvasive,and non-imaging modality for the identification of fatty *** addition,these scores also predicted fatty liver in patients with alcohol consumption and chronic hepatitis virus infection.

关键词： Nonalcoholic fatty liver disease Fatty liver index Hepatic steatosis index

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Machine-Learning-Assisted Design of Deep Eutectic Solvents Based on Uncovered Hydrogen Bond Patterns

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Engineering 2024年第8期39卷 74-83页

作者： Usman L.Abbas Yuxuan Zhang Joseph Tapia Selim Md Jin Chen Jian Shi Qing Shao department of Chemical and Materials Engineering University of KentuckyLexingtonKY 40506USA department of Biosystems and Agricultural Engineering University of KentuckyLexingtonKY 40506USA Institute for biomedical informatics Department of Computer ScienceUniversity of KentuckyLexingtonKY 40506USA

Non-ionic deep eutectic solvents(DESs)are non-ionic designer solvents with various applications in catalysis,extraction,carbon capture,and ***,discovering new DES candidates is challenging due to a lack of efficient tools that accurately predict DES *** search for DES relies heavily on intuition or trial-and-error processes,leading to low success rates or missed *** that hydrogen bonds(HBs)play a central role in DES formation,we aim to identify HB features that distinguish DES from non-DES systems and use them to develop machine learning(ML)models to discover new DES *** first analyze the HB properties of 38 known DES and 111 known non-DES systems using their molecular dynamics(MD)simulation *** analysis reveals that DES systems have two unique features compared to non-DES systems:The DESs have①more imbalance between the numbers of the two intra-component HBs and②more and stronger inter-component *** on these results,we develop 30 ML models using ten algorithms and three types of HB-based *** model performance is first benchmarked using the average and minimal receiver operating characteristic(ROC)-area under the curve(AUC)*** also analyze the importance of individual features in the models,and the results are consistent with the simulation-based statistical ***,we validate the models using the experimental data of 34 *** extra trees forest model outperforms the other models in the validation,with an ROC-AUC of *** work illustrates the importance of HBs in DES formation and shows the potential of ML in discovering new DESs.

关键词： Machine learning Deep eutectic solvents Molecular dynamics simulations Hydrogen bond Molecular design

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Explainable artificial intelligence in breast cancer detection and risk prediction:A systematic scoping review

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Cancer Innovation 2024年第5期3卷 1-22页

作者： Amirehsan Ghasemi Soheil Hashtarkhani David L.Schwartz Arash Shaban‐Nejad department of Pediatrics Center for Biomedical InformaticsCollege of MedicineUniversity of Tennessee Health Science CenterMemphisTennesseeUSA The Bredesen Center for Interdisciplinary Research and Graduate Education University of TennesseeKnoxvilleTennesseeUSA department of Radiation Oncology College of MedicineUniversity of Tennessee Health Science CenterMemphisTennesseeUSA

With the advances in artificial intelligence(AI),data‐driven algorithms are becoming increasingly popular in the medical ***,due to the nonlinear and complex behavior of many of these algorithms,decision‐making by such algorithms is not trustworthy for clinicians and is considered a blackbox ***,the scientific community has introduced explainable artificial intelligence(XAI)to remedy the *** systematic scoping review investigates the application of XAI in breast cancer detection and risk *** conducted a comprehensive search on Scopus,IEEE Explore,PubMed,and Google Scholar(first 50 citations)using a systematic search *** search spanned from January 2017 to July 2023,focusing on peer‐reviewed studies implementing XAI methods in breast cancer *** studies met our inclusion criteria and were included in the *** results revealed that SHapley Additive exPlanations(SHAP)is the top model‐agnostic XAI technique in breast cancer research in terms of usage,explaining the model prediction results,diagnosis and classification of biomarkers,and prognosis and survival ***,the SHAP model primarily explained tree‐based ensemble machine learning *** most common reason is that SHAP is model agnostic,which makes it both popular and useful for explaining any model ***,it is relatively easy to implement effectively and completely suits performant models,such as tree‐based *** AI improves the transparency,interpretability,fairness,and trustworthiness of AI‐enabled health systems and medical devices and,ultimately,the quality of care and outcomes.

关键词： breast cancer deep learning explainable artificial intelligence interpretable AI machine learning XAI

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Reconstructing cell lineage trees with genomic barcoding:approaches and applications

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Journal of Genetics and Genomics 2024年第1期51卷 35-47页

作者： Zizhang Li Wenjing Yang Peng Wu Yuyan Shan Xiaoyu Zhang Feng Chen Junnan Yang Jian-Rong Yang Advanced Medical Technology Center The First Affiliated HospitalZhongshan School of MedicineSun Yat-sen UniversityGuangzhouGuangdong 510080China department of Genetics and biomedical informatics Zhongshan School of MedicineSun Yat-sen UniversityGuangzhouGuangdong 510080China Key Laboratory of Tropical Disease Control Ministry of EducationSun Yat-sen UniversityGuangzhouGuangdong 510080China

In multicellular organisms,developmental history of cell divisions and functional annotation of terminal cells can be organized into a cell lineage tree(CLT).The reconstruction of the CLT has long been a major goal in developmental biology and other related *** technological advancements,especially those in editable genomic barcodes and single-cell high-throughput sequencing,have sparked a new wave of experimental methods for reconstructing *** we review the existing experimental approaches to the reconstruction of CLT,which are broadly categorized as either image-based or DNA barcode-based *** addition,we present a summary of the related literature based on the biological insight pro-vided by the obtained ***,we discuss the challenges that will arise as more and better CLT data become available in the near *** barcoding-based CLT reconstructions and analyses,due to their wide applicability and high scalability,offer the potential for novel biological discoveries,especially those related to general and systemic properties of the developmental process.

关键词： Cell lineage tree Developmental regulation Biotechnology Computational biology

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