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  • Open Access

    REVIEW

    Differential mRNA expression in peripheral blood is associated with oral squamous cell carcinoma: Recent advances and future challenges

    XIA MU1,2,#, YUBING HU3,#, DANDAN WU1,#, HONGYU YANG1,2,*

    BIOCELL, Vol.47, No.7, pp. 1449-1458, 2023, DOI:10.32604/biocell.2023.026704

    Abstract Oral squamous cell carcinoma (OSCC) is a malignant tumor triggered by the accumulation of multiple gene mutations in oral epithelial cells. Different OSCC-related biomarkers have been reported in circulation in the peripheral blood that support the occurrence and development of OSCC. Recent advances in high-throughput and highly sensitive detection methods have overcome the limitation of the low concentration of most peripheral blood biomarkers. Hence, blood biomarker detection has become an efficient screening tool for the early diagnosis of OSCC. The growing data available in public cancer and gene databases have provided new foundations for OSCC research. In particular, the identification… More >

  • Open Access

    ARTICLE

    INVESTIGATION ON CNTS-WATER AND HUMAN BLOOD BASED CASSON NANOFLUID FLOW OVER A STRETCHING SHEET UNDER IMPACT OF MAGNETIC FIELD

    Hamzeh T. Alkasasbeha,*, Mohammed Z. Swalmehb , Hebah G. Bani Saeedc , Feras M. Al Faqihc , Adeeb G. Talafhac

    Frontiers in Heat and Mass Transfer, Vol.14, pp. 1-7, 2020, DOI:10.5098/hmt.14.15

    Abstract This study aims at considering the properties of heat transfer and magneto-hydrodynamics (MHD) Casson nanofluid at the existence of free convection boundary layer flow with Carbon Nanotubes (CNTs) suspended in human blood/water as based fluid on a stretching sheet. Two types of CNTs nanoparticles, single walled carbon nanotubes (SWCNTs) and multi walled carbon nanotubes (MWCNTs), are taken into account. The governing partial differential equations are transformed to partial differential equations using similar transformation, then solved numerically by an implicit finite difference scheme known as Keller-box method (KBM). The results for physical quantities, the local skin friction, and local Nusselt number,… More >

  • Open Access

    VIEWPOINT

    Liquid biopsy and blood-based minimal residual disease evaluation in multiple myeloma

    ALESSANDRO GOZZETTI*, MONICA BOCCHIA

    Oncology Research, Vol.31, No.3, pp. 271-274, 2023, DOI:10.32604/or.2023.028668

    Abstract Novel drug availability has increased the depth of response and revolutionised the outcomes of multiple myeloma patients. Minimal residual disease evaluation is a surrogate for progression-free survival and overall survival and has become widely used not-only in clinical trials but also in daily patient management. Bone marrow aspiration is the gold standard for response evaluation, but due to the patchy nature of myeloma, false negatives are possible. Liquid biopsy and blood-based minimal residual disease evaluation consider circulating plasma cells, mass spectrometry or circulating tumour DNA. This approach is less invasive, can provide a more comprehensive picture of the disease and… More >

  • Open Access

    ARTICLE

    Acute Effects of Virtual Reality Exercise on Young Adults’ Blood Pressure and Feelings

    Pablo Saiz-Gonzalez1,2, Daniel J. McDonough3, Wenxi Liu4, Zan Gao1,*

    International Journal of Mental Health Promotion, Vol.25, No.5, pp. 711-719, 2023, DOI:10.32604/ijmhp.2023.027530

    Abstract Virtual reality (VR) seems to have the potential to provide opportunities to promote physical activity (PA) in a fun way. This paper aimed to examine the acute effects of three different virtual reality-based exercise bikes on young adults’ blood pressure (BP) and feelings compared to a traditional exercise cycling session. Four exercise sessions (immersive VR cycling, two non-immersive VR cycling, and traditional cycling) were completed by 36 young adults (22 females; Mage = 23.6 years). BP was measured immediately before and after each session using a BP cuff and exercise-induced feelings were assessed via an established survey immediately after each… More >

  • Open Access

    ARTICLE

    WATER PERMEABILITY THROUGH THE WALL OF BLOOD CAPILLARY

    Mian Wang1, Yongbin Zhang2,*

    Frontiers in Heat and Mass Transfer, Vol.18, pp. 1-5, 2022, DOI:10.5098/hmt.18.7

    Abstract Blood capillaries are the ends of blood vessel tissues in human bodies, which are importantly functioned as exchanging the nutrients between bloods and interstitial fluids. Most blood capillaries such as in skins, skeletal muscles, cardiac muscles and lungs etc. have the walls with massively distributed cylindrical nanopores with diameters around from 50nm to 60nm. These pores are the only channels for transporting water, oxygen, carbon dioxide and ions, while preventing all the substances with the diameters greater than 60nm or a little more from passing through. The present paper presents the analytical results for the water permeability through these pores… More >

  • Open Access

    ARTICLE

    Immunoregulatory effects of human amniotic mesenchymal stem cells and their exosomes on human peripheral blood mononuclear cells

    XIN TIAN, XIANGLING HE*, SHUQIN QIAN, RUNYING ZOU, KEKE CHEN, CHENGGUANG ZHU, ZEXI YIN

    BIOCELL, Vol.47, No.5, pp. 1085-1093, 2023, DOI:10.32604/biocell.2023.027090

    Abstract Background: The immunomodulatory effects of mesenchymal stem cells (MSCs) and their exosomes have been receiving increasing attention. This study investigated the immunoregulatory effects of human amniotic mesenchymal stem cells (hAMSCs) and their exosomes on phytohemagglutinin (PHA)-induced peripheral blood mononuclear cells (PBMCs). Methods: The hAMSCs used in the experiment were identified by light microscopy and flow cytometry, and the differentiation ability of the cells was determined by Oil Red O and Alizarin Red staining. The expressions of transforming growth factor (TGF)-β, indoleamine 2,3-dioxygenase (IDO), cyclooxygenase-2 (COX-2), hepatocyte growth factor (HGF), and interleukin (IL)-6 were detected by quantitative real-time polymerase chain reaction… More >

  • Open Access

    ARTICLE

    Non-Contact Physiological Measurement System for Wearing Masks During the Epidemic

    Shu-Yin Chiang*, Dong-Ye Wu

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 2509-2526, 2023, DOI:10.32604/cmc.2023.036466

    Abstract Physiological signals indicate a person’s physical and mental state at any given time. Accordingly, many studies extract physiological signals from the human body with non-contact methods, and most of them require facial feature points. However, under COVID-19, wearing a mask has become a must in many places, so how non-contact physiological information measurements can still be performed correctly even when a mask covers the facial information has become a focus of research. In this study, RGB and thermal infrared cameras were used to execute non-contact physiological information measurement systems for heart rate, blood pressure, respiratory rate, and forehead temperature for… More >

  • Open Access

    ARTICLE

    MayGAN: Mayfly Optimization with Generative Adversarial Network-Based Deep Learning Method to Classify Leukemia Form Blood Smear Images

    Neenavath Veeraiah1,*, Youseef Alotaibi2, Ahmad F. Subahi3

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 2039-2058, 2023, DOI:10.32604/csse.2023.036985

    Abstract Leukemia, often called blood cancer, is a disease that primarily affects white blood cells (WBCs), which harms a person’s tissues and plasma. This condition may be fatal when if it is not diagnosed and recognized at an early stage. The physical technique and lab procedures for Leukaemia identification are considered time-consuming. It is crucial to use a quick and unexpected way to identify different forms of Leukaemia. Timely screening of the morphologies of immature cells is essential for reducing the severity of the disease and reducing the number of people who require treatment. Various deep-learning (DL) model-based segmentation and categorization… More >

  • Open Access

    ARTICLE

    Machine Learning for Detecting Blood Transfusion Needs Using Biosignals

    Hoon Ko1, Chul Park2, Wu Seong Kang3, Yunyoung Nam4, Dukyong Yoon5, Jinseok Lee1,*

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 2369-2381, 2023, DOI:10.32604/csse.2023.035641

    Abstract Adequate oxygen in red blood cells carrying through the body to the heart and brain is important to maintain life. For those patients requiring blood, blood transfusion is a common procedure in which donated blood or blood components are given through an intravenous line. However, detecting the need for blood transfusion is time-consuming and sometimes not easily diagnosed, such as internal bleeding. This study considered physiological signals such as electrocardiogram (ECG), photoplethysmogram (PPG), blood pressure, oxygen saturation (SpO2), and respiration, and proposed the machine learning model to detect the need for blood transfusion accurately. For the model, this study extracted… More >

  • Open Access

    ARTICLE

    Histogram-Based Decision Support System for Extraction and Classification of Leukemia in Blood Smear Images

    Neenavath Veeraiah1,*, Youseef Alotaibi2, Ahmad F. Subahi3

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 1879-1900, 2023, DOI:10.32604/csse.2023.034658

    Abstract An abnormality that develops in white blood cells is called leukemia. The diagnosis of leukemia is made possible by microscopic investigation of the smear in the periphery. Prior training is necessary to complete the morphological examination of the blood smear for leukemia diagnosis. This paper proposes a Histogram Threshold Segmentation Classifier (HTsC) for a decision support system. The proposed HTsC is evaluated based on the color and brightness variation in the dataset of blood smear images. Arithmetic operations are used to crop the nucleus based on automated approximation. White Blood Cell (WBC) segmentation is calculated using the active contour model… More >

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