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Classical Hodgkin＇s Lymphoma Presenting as Acute Hepatic Failure One Case Report

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Clinical oncology and cancer researeh 2010年第6期7卷 373-376页

作者： Pradipta Guha Shivesh Shanker Sahai Sekhar Mukherjee Sanjoy kumar Chatterjee Department of cardiology G.B. Pant Hospital New Delhi 110002 India. Department of General Medicine Medica College Kolkata-700073 West Bengal India.

A 20-year-old boy presenting daily febrile episodes was suspected to have developed acute hepatic failure. Serologic tests ruled out infectious and autoimmune causes apart from drug toxicity. During clinical examinations, he was found to have generalized enlarged lymph nodes that were then taken biopsy. It was diagnosed as classical Hodgkin＇s lymphoma based on histological examination of the lymph node. A bone marrow biopsy showed marrow infiltration by Hodgkin＇s lymphoma with hemophagocytosis and secondary myelofibrosis. A percutaneous liver biopsy demonstrated hepatic involvement of the same disease. After an extensive work-up, the cause of liver failure was figure out to be only attributed to the involvement of the lymphoma. Hodgkin＇s lymphoma as a cause of hepatic failure is rare and young patients diagnosed as Hodgkin＇s lymphoma causing hepatic failure has been reported very rarely so far.

关键词： Hodgkin's disease bone marrow liver failure acute.

An Analysis of Integrating Machine Learning in Healthcare for Ensuring Confidentiality of the Electronic Records

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Computer Modeling in Engineering & Sciences 2022年第3期130卷 1387-1422页

作者： Adil Hussain Seh Jehad F.Al-Amri Ahmad F.Subahi Alka Agrawal Nitish Pathak Rajeev kumar Raees Ahmad Khan Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025India Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science Umm Al-Qura UniversityMakkah21421Saudi Arabia Department of Information Technology Guru Gobind Singh Indraprastha UniversityDelhi110078India Department of Computer Applications Shri Ramswaroop Memorial UniversityBarabanki225003India Department of Computer Science and Engineering Babu Banarasi Das UniversityLucknow226028India

The adoption of sustainable electronic healthcare infrastructure has revolutionized healthcare services and ensured that E-health technology caters efficiently and promptly to the needs of the stakeholders associated with *** the phenomenal advancement in the present healthcare services,the major obstacle that mars the success of E-health is the issue of ensuring the confidentiality and privacy of the patients’data.A thorough scan of several research studies reveals that healthcare data continues to be the most sought after entity by cyber *** approaches and methods have been practiced by researchers to secure healthcare digital ***,there are very few from the Machine learning(ML)domain even though the technique has the proactive ability to detect suspicious accesses against Electronic Health Records(EHRs).The main aim of this work is to conduct a systematic analysis of the existing research studies that address healthcare data confidentiality issues through ML *** guidelines have been practiced as a manual to conduct this *** well-known digital libraries namely IEEE Xplore,Science Direct,Springer Link,ACM Digital Library,Willey Online Library,PubMed(Medical and Bio-Science),and MDPI have been included to performan exhaustive search for the existing pertinent *** of this study depict that machine learning provides a more robust security mechanism for sustainable management of the EHR systems in a proactive fashion,yet the specified area has not been fully explored by the researchers.K-nearest neighbor algorithm and KNIEM implementation tools are mostly used to conduct experiments on EHR systems’log *** and performance measure of practiced techniques are not sufficiently outlined in the primary *** research endeavour depicts that there is a need to analyze the dynamic digital healthcare environment more *** accuracy and effective implementation of

关键词： EHRs healthcare machine learning systematic analysis

Imaging in Gluteal Hernia

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Open Journal of Medical Imaging 2016年第1期6卷 16-19页

作者： Chaitra Srinivas Ajit kumar Reddy Anil kumar Shukla Himabindhu Pinnammaneni Department of Radiodiagnosis Kempegowda Institute of Medical Sciences Bangalore India

Gluteal hernias are extremely uncommon and occur as a result of deficiency or defect in the gluteal musculature. Our case reports one such incidence in a one year old girl with review of available literature. The clinical presentation and imaging findings are discussed comprehensively. We thus lay emphasis on the importance of real-time ultrasonography as the method of choice to identify hernia contents, peristalsis and obstruction if any.

关键词： Gluteal Hernia Defect Sonography Obstruction

Hyperparameter Tuning Bidirectional Gated Recurrent Unit Model for Oral Cancer Classification

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Computers, Materials & Continua 2022年第12期73卷 4541-4557页

作者： K.Shankar E.Laxmi Lydia Sachin kumar Ali S.Abosinne Ahmed alkhayyat A.H.Abbas Sarmad Nozad Mahmood Department of Computer Science South Ural State UniversityChelyabinsk454080Russia Department of Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India Computer Technical Engineering Department College of Technical Engineeringthe Islamic UniversityNajaf54001Iraq College of Technical Engineering the Islamic UniversityNajafIraq College of Information Technology Imam Ja’afar Al-Sadiq UniversityAl-Muthanna66002Iraq Computer Technology Engineering College of Engineering TechnologyAl-Kitab UniversityIraq

Oral Squamous Cell Carcinoma(OSCC)is a type of Head and Neck Squamous Cell Carcinoma(HNSCC)and it should be diagnosed at early stages to accomplish efficient treatment,increase the survival rate,and reduce death *** imaging is a wide-spread standard used for OSCC ***,it is a cumbersome process and demands expert’s ***,there is a need exists for automated detection ofOSCC using Artificial Intelligence(AI)and Computer Vision(CV)*** this background,the current research article introduces Improved Slime Mould Algorithm with Artificial Intelligence Driven Oral Cancer Classification(ISMA-AIOCC)model on Histopathological images(HIs).The presented ISMA-AIOCC model is aimed at identification and categorization of oral cancer using *** the initial stage,linear smoothing filter is applied to eradicate the noise from ***,MobileNet model is employed to generate a useful set of feature ***,Bidirectional Gated Recurrent Unit(BGRU)model is exploited for classification *** the end,ISMA algorithm is utilized to fine tune the parameters involved in BGRU ***,ISMA algorithm is created by integrating traditional SMA and ChaoticOppositional Based Learning(COBL).The proposed ISMA-AIOCC model was validated for performance using benchmark dataset and the results pointed out the supremacy of ISMA-AIOCC model over other recent approaches.

关键词： Computer aided diagnosis deep learning BGRU biomedical imaging oral cancer histopathological images

China-UK Workshop Held In Beijing

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Aerospace China 2006年第1期7卷 17-17页

作者： sunny

In order to promote exchange and cooperation in space science and technology between China and UK, the China-UK Workshop in Space Technology, sponsored by China National Space Administration （CNSA） and British Natio... 详细信息

关键词：空间科学空间技术中国英国航天工业北京技术交流

Diabetes more than retinopathy,it’s effect on the anterior segment of eye

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World Journal of Clinical Cases 2023年第16期11卷 3736-3749页

作者： Arvind kumar Morya Prasanna Venkatesh Ramesh Kirandeep Kaur Bharat Gurnani Aarti Heda Karan Bhatia Aprajita Sinha Department of Ophthalmology All India Institute of Medical SciencesHyderabad 508126TelanganaIndia Glaucoma and Research Mahathma Eye Hospital Private LimitedTennurTrichy 620001Tamil NaduIndia Pediatric Ophthalmology and Strabismus Sadguru Netra ChikitsalayaSadguru Seva Sangh TrustJanaki-KundChitrakoot 485334Madhya PradeshIndia Cornea and Refractive Services Sadguru Netra ChikitsalayaSadguru Seva Sangh TrustJanaki-KundChitrakoot 485334Madhya PradeshIndia Department of Ophthalmology National Institute of OphthalmologyPune 411000MaharashtraIndia Department of Ophthalmology Manaktala Eye and Maternity HomeMeerut 250001Uttar PradeshIndia Department of Ophthalmology Worcestershire Acute HospitalWorcestershire 01601United Kingdom

Diabetes mellitus(DM)is one of the chronic metabolic noncommunicable diseases that has attained worldwide *** threatens healthy life around the globe,with mild-to-severe secondary complications and leads to significant illness including nephropathy,neuropathy,retinopathy,and macrovascular abnormalities including peripheral vasculopathy,and ischaemic heart *** into diabetic retinopathy(DR),which affects one-third of persons with diabetes,has made considerable strides in recent *** addition,it can lead to several anterior segment complications such as glaucoma,cataract,cornea,conjunctiva,lacrimal glands and other ocular surface *** DM also caused gradual damage to corneal nerves and epithelial cells,which raises the likelihood of anterior segment diseases including corneal ulcers,dry eye disease,and chronic epithelial *** DR and other associated ocular complications are well-known,the complexity of its aetiology and diagnosis makes therapeutic intervention *** glycaemic control,early detection and regular screening,and meticulous management is the key to halting the progression of the *** this review manuscript,we aim to provide an in-depth understanding of the broad spectrum of diabetic complications in the anterior segment of the ocular tissues and illustrate the progression of diabetes and its pathophysiology,epidemiology,and prospective therapeutic *** first such review article will highlight the role of diagnosing and treating patients with a plethora of anterior segment diseases associated with diabetes,which are often neglected.

关键词： Diabetes Ocular surface Cataract Glaucoma Lens Uvea

Brain Tumor Diagnosis Using Sparrow Search Algorithm Based Deep Learning Model

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Computer Systems Science & Engineering 2023年第2期44卷 1793-1806页

作者： G.Ignisha Rajathi R.Ramesh kumar D.Ravikumar T.Joel Seifedine Kadry Chang-Won Jeong Yunyoung Nam Department of Computer Science and Business Systems Sri Krishna College of Engineering and TechnologyCoimbatore641008India Department of Information Technology Sri Krishna College of TechnologyCoimbatore641008India Department of Electronics and Communication Engineering Kings Engineering CollegeChennai602117India Department of Electronics and Communication Engineering R.M.K.Engineering CollegeChennai601206India Deparmtent of Applied Data Science Noroff University CollegeKristiansandNorway Medical Convergence Research Center Wonkwang UniversityIksanKorea Department of Computer Science and Engineering Soonchunhyang UniversityAsanKorea

Recently,Internet of Medical Things(IoMT)has gained considerable attention to provide improved healthcare services to *** earlier diag-nosis of brain tumor(BT)using medical imaging becomes an essential task,auto-mated IoMT and cloud enabled BT diagnosis model can be devised using recent deep learning *** this motivation,this paper introduces a novel IoMT and cloud enabled BT diagnosis model,named *** IoMTC-HDBT model comprises the data acquisition process by the use of IoMT devices which captures the magnetic resonance imaging(MRI)brain images and transmit them to the cloud ***,adaptive windowﬁltering(AWF)based image preprocessing is used to remove *** addition,the cloud server executes the disease diagnosis model which includes the sparrow search algorithm(SSA)with GoogleNet(SSA-GN)*** IoMTC-HDBT model applies functional link neural network(FLNN),which has the ability to detect and classify the MRI brain images as normal or ***ﬁnds useful to generate the reports instantly for patients located in remote *** validation of the IoMTC-HDBT model takes place against BRATS2015 Challenge dataset and the experimental analysis is car-ried out interms of sensitivity,accuracy,and speciﬁ*** experimentation out-come pointed out the betterment of the proposed model with the accuracy of 0.984.

关键词： Internet of medical things healthcare brain tumor disease classiﬁcation deep learning metaheuristics

Extracellular vesicles as tools and targets in therapy for diseases

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Signal Transduction and Targeted Therapy 2024年第3期9卷 872-912页

作者： Mudasir A.kumar Sadaf K.Baba Hana Q.Sadida Sara Al.Marzooqi Jayakumar Jerobin Faisal H.Altemani Naseh Algehainy Mohammad A.Alanazi Abdul-Badi Abou-Samra Rakesh kumar Ammira S.Al-Shabeeb Akil Muzafar A.Macha Rashid Mir Ajaz A.Bhat Watson-Crick Centre for Molecular Medicine Islamic University of Science and TechnologyAwantiporaKashmir 192122India Department of Human Genetics-Precision Medicine in Diabetes Obesity and Cancer ProgramSidra MedicineDohaQatar Qatar Metabolic Institute Academic Health SystemHamad Medical CorporationDohaQatar Department of Medical Laboratory Technology Prince Fahad Bin Sultan Chair for Biomedical ResearchFaculty of Applied Medical SciencesUniversity of TabukTabukSaudi Arabia School of Biotechnology Shri Mata Vaishno Devi UniversityKatraIndia

Extracellular vesicles(EVs)are nano-sized,membranous structures secreted into the extracellular *** exhibit diverse sizes,contents,and surface markers and are ubiquitously released from cells under normal and pathological *** serum is a rich source of these EVs,though their isolation from serum proteins and non-EV lipid particles poses *** vesicles transport various cellular components such as proteins,mRNAs,miRNAs,DNA,and lipids across distances,influencing numerous physiological and pathological events,including those within the tumor microenvironment(TME).Their pivotal roles in cellular communication make EVs promising candidates for therapeutic agents,drug delivery systems,and disease *** in cancer diagnostics,EV detection can pave the way for early identification and offers potential as diagnostic ***,various EV subtypes are emerging as targeted drug delivery tools,highlighting their potential clinical *** need for non-invasive biomarkers to monitor biological processes for diagnostic and therapeutic purposes remains *** into the unique composition of EVs could unlock advanced diagnostic and therapeutic avenues in the *** this review,we discuss in detail the roles of EVs across various conditions,including cancers(encompassing head and neck,lung,gastric,breast,and hepatocellular carcinoma),neurodegenerative disorders,diabetes,viral infections,autoimmune and renal diseases,emphasizing the potential advancements in molecular diagnostics and drug delivery.

关键词： diseases sized sizes

Differential miRNA expression profiling of highly pathogenic avian influenza virus H5N1 infected chicken lungs reveals critical microRNAs,biological pathways and genes involved in the molecular pathogenesis

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Virologica Sinica 2022年第3期37卷 465-468页

作者： Anamika Mishra Muhasin Asaf Amod kumar Diwakar Dattatreya Kulkarni Richa Sood Sandeep Bhatia Bharat Bhushan Ashwin Ashok Raut Pathogenomics Laboratory ICAR-National Institute of High Security Animal DiseasesOIE referral laboratory for Avian InfluenzaBhopal 462021India ICAR-National Institute of High Security Animal Diseases OIE referral lab for Avian InfluenzaBhopal 462021India Division of Animal Genetics ICAR-Indian Veterinary Research InstituteBareilly 243122India

Dear Editor,Avian influenza is a highly contagious viral infection affecting the respiratory ***(miRNAs)are small,regulatory,endogenous,non-coding RNAs of~22 nt that regulate the gene expression of the target mRNAs by cleavage or translational *** are connected with the host response during avian influenza virus(AIV)infection(Wang et al.,2009,2012).In this study.

关键词： influenza endogenous pathogenesis