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  • Open Access

    REVIEW

    Utilization of kinase inhibitors as novel therapeutic drug targets: A review

    SUCHITRA NISHAL1, VIKAS JHAWAT1,*, SUMEET GUPTA2, PARMITA PHAUGAT1

    Oncology Research, Vol.30, No.5, pp. 221-230, 2022, DOI:10.32604/or.2022.027549 - 03 February 2023

    Abstract Kinase inhibitors are a significant and continuously developing division of target therapeutics. The drug discovery and improvement efforts have examined numerous attempts to target the signaling pathway of kinases. The Kinase inhibitors have been heralded as a game-changer in cancer treatment. For developing kinase inhibitors as a treatment for various non-malignant disorders like auto-immune diseases, is currently undergoing extensive research. It may be beneficial to investigate whether cell-specific kinase inhibitor administration enhances therapeutic efficacy and decreases adverse effects. The goal of the current review is to gain insight into the role of kinase inhibitors in… More >

  • Open Access

    ARTICLE

    CNN-LSTM Face Mask Recognition Approach to Curb Airborne Diseases COVID-19 as a Case

    Shangwe Charmant Nicolas*

    Journal of Intelligent Medicine and Healthcare, Vol.1, No.2, pp. 55-68, 2022, DOI:10.32604/jimh.2022.033058 - 05 January 2023

    Abstract The COVID-19 outbreak has taken a toll on humankind and the world’s health to a breaking point, causing millions of deaths and cases worldwide. Several preventive measures were put in place to counter the escalation of COVID-19. Usage of face masks has proved effective in mitigating various airborne diseases, hence immensely advocated by the WHO (World Health Organization). A compound CNN-LSTM network is developed and employed for the recognition of masked and none masked personnel in this paper. 3833 RGB images, including 1915 masked and 1918 unmasked images sampled from the Real-World Masked Face Dataset More >

  • Open Access

    ARTICLE

    A Two Stream Fusion Assisted Deep Learning Framework for Stomach Diseases Classification

    Muhammad Shahid Amin1, Jamal Hussain Shah1, Mussarat Yasmin1, Ghulam Jillani Ansari2, Muhamamd Attique Khan3, Usman Tariq4, Ye Jin Kim5, Byoungchol Chang6,*

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 4423-4439, 2022, DOI:10.32604/cmc.2022.030432 - 16 June 2022

    Abstract Due to rapid development in Artificial Intelligence (AI) and Deep Learning (DL), it is difficult to maintain the security and robustness of these techniques and algorithms due to emergence of novel term adversary sampling. Such technique is sensitive to these models. Thus, fake samples cause AI and DL model to produce diverse results. Adversarial attacks that successfully implemented in real world scenarios highlight their applicability even further. In this regard, minor modifications of input images cause “Adversarial Attacks” that altered the performance of competing attacks dramatically. Recently, such attacks and defensive strategies are gaining lot… More >

  • Open Access

    ARTICLE

    Real-Time Multi-Class Infection Classification for Respiratory Diseases

    Ahmed ElShafee1, Walid El-Shafai2, Abdulaziz Alarifi3,*, Mohammed Amoon3, Aman Singh4, Moustafa H. Aly5

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 4157-4177, 2022, DOI:10.32604/cmc.2022.028847 - 16 June 2022

    Abstract Real-time disease prediction has emerged as the main focus of study in the field of computerized medicine. Intelligent disease identification framework can assist medical practitioners in diagnosing disease in a way that is reliable, consistent, and timely, successfully lowering mortality rates, particularly during endemics and pandemics. To prevent this pandemic’s rapid and widespread, it is vital to quickly identify, confine, and treat affected individuals. The need for auxiliary computer-aided diagnostic (CAD) systems has grown. Numerous recent studies have indicated that radiological pictures contained critical information regarding the COVID-19 virus. Utilizing advanced convolutional neural network (CNN)… More >

  • Open Access

    ARTICLE

    Microenvironmental regulation of stem cells injected in the area at risk of neurodegenerative diseases

    JU HYUNG LEE1, IL-KWON KIM2,3, SANG WOO KIM2,3, SOYEON LIM2,3, SEAHYOUNG LEE2,3, KI-CHUL HWANG2,3, BYEONG-WOOK SONG2,3,*

    BIOCELL, Vol.46, No.10, pp. 2231-2234, 2022, DOI:10.32604/biocell.2022.020179 - 13 June 2022

    Abstract The complex mechanism of degenerative diseases and the non-specific modulation of regenerative targets are topics that need to be elucidated in order to advance the use of stem cells in improvement of neurodegenerative diseases. From pre-transplantation through post-transplantation, there are many changes in the conditions, both inside and outside of the stem cells that have not been carefully considered. This has hindered development in the field of cell therapy and regeneration. This viewpoint highlights the potential implications of intracellular and extracellular alterations of stem cells in transplanted areas at risk of neurodegenerative disease. More >

  • Open Access

    REVIEW

    Mesenchymal stem cell-derived exosomes as new remedy for the treatment of inflammatory eye diseases

    CARL RANDALL HARRELL1,#, ANA VOLAREVIC2,#,*, DRAGICA PAVLOVIC3, VALENTIN DJONOV4, VLADISLAV VOLAREVIC4,5,*

    BIOCELL, Vol.46, No.10, pp. 2195-2200, 2022, DOI:10.32604/biocell.2022.020175 - 13 June 2022

    Abstract Detrimental immune response has a crucially important role in the development and progression of inflammatory eye diseases. Inflammatory mediators and proteolytic enzymes released by activated immune cells induce serious injury of corneal epithelial cells and retinal ganglion cell which may result in the vision loss. Mesenchymal stem cells (MSCs) are regulatory cells which produce various immunosuppressive factors that modulate phenotype and function of inflammatory immune cells. However, several safety issues, including undesired differentiation and emboli formation, limit clinical use of MSCs. MSC-derived exosomes (MSC-Exos) are nano-sized extracellular vesicles which contain all MSC-derived immunoregulatory factors. Intraocular More >

  • Open Access

    ARTICLE

    Feature Extraction and Classification of Plant Leaf Diseases Using Deep Learning Techniques

    K. Anitha1, S. Srinivasan2,*

    CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 233-247, 2022, DOI:10.32604/cmc.2022.026542 - 18 May 2022

    Abstract In India’s economy, agriculture has been the most significant contributor. Despite the fact that agriculture’s contribution is decreasing as the world’s population grows, it continues to be the most important source of employment with a little margin of difference. As a result, there is a pressing need to pick up the pace in order to achieve competitive, productive, diverse, and long-term agriculture. Plant disease misinterpretations can result in the incorrect application of pesticides, causing crop harm. As a result, early detection of infections is critical as well as cost-effective for farmers. To diagnose the disease… More >

  • Open Access

    ARTICLE

    Pulmonary Diseases Decision Support System Using Deep Learning Approach

    Yazan Al-Issa1, Ali Mohammad Alqudah2,*, Hiam Alquran3,2, Ahmed Al Issa4

    CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 311-326, 2022, DOI:10.32604/cmc.2022.025750 - 18 May 2022

    Abstract Pulmonary diseases are common throughout the world, especially in developing countries. These diseases include chronic obstructive pulmonary diseases, pneumonia, asthma, tuberculosis, fibrosis, and recently COVID-19. In general, pulmonary diseases have a similar footprint on chest radiographs which makes them difficult to discriminate even for expert radiologists. In recent years, many image processing techniques and artificial intelligence models have been developed to quickly and accurately diagnose lung diseases. In this paper, the performance of four popular pretrained models (namely VGG16, DenseNet201, DarkNet19, and XceptionNet) in distinguishing between different pulmonary diseases was analyzed. To the best of… More >

  • Open Access

    REVIEW

    Plant growth-promoting rhizobacteria (PGPR) and its mechanisms against plant diseases for sustainable agriculture and better productivity

    PRANAB DUTTA1,*, GOMATHY MUTHUKRISHNAN2,*, SABARINATHAN KUTALINGAM GOPALASUBRAMAIAM2, RAJAKUMAR DHARMARAJ2, ANANTHI KARUPPAIAH3, KARTHIBA LOGANATHAN4, KALAISELVI PERIYASAMY5, M. ARUMUGAM PILLAI2, GK UPAMANYA6, SARODEE BORUAH7, LIPA DEB1, ARTI KUMARI1, MADHUSMITA MAHANTA1, PUNABATI HEISNAM8, AK MISHRA9

    BIOCELL, Vol.46, No.8, pp. 1843-1859, 2022, DOI:10.32604/biocell.2022.019291 - 22 April 2022

    Abstract

    Plant growth-promoting rhizobacteria (PGPR) are specialized bacterial communities inhabiting the root rhizosphere and the secretion of root exudates helps to, regulate the microbial dynamics and their interactions with the plants. These bacteria viz., Agrobacterium, Arthobacter, Azospirillum, Bacillus, Burkholderia, Flavobacterium, Pseudomonas, Rhizobium, etc., play important role in plant growth promotion. In addition, such symbiotic associations of PGPRs in the rhizospheric region also confer protection against several diseases caused by bacterial, fungal and viral pathogens. The biocontrol mechanism utilized by PGPR includes direct and indirect mechanisms direct PGPR mechanisms include the production of antibiotic, siderophore, and hydrolytic enzymes,

    More >

  • Open Access

    ARTICLE

    Non-Invasive Early Diagnosis of Obstructive Lung Diseases Leveraging Machine Learning Algorithms

    Mujeeb Ur Rehman1,*, Maha Driss2,3, Abdukodir Khakimov4, Sohail Khalid1

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5681-5697, 2022, DOI:10.32604/cmc.2022.025840 - 21 April 2022

    Abstract Lungs are a vital human body organ, and different Obstructive Lung Diseases (OLD) such as asthma, bronchitis, or lung cancer are caused by shortcomings within the lungs. Therefore, early diagnosis of OLD is crucial for such patients suffering from OLD since, after early diagnosis, breathing exercises and medical precautions can effectively improve their health state. A secure non-invasive early diagnosis of OLD is a primordial need, and in this context, digital image processing supported by Artificial Intelligence (AI) techniques is reliable and widely used in the medical field, especially for improving early disease diagnosis. Hence,… More >

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