KERAN JIA¹, YANHAO ZHANG¹, MENGYU JIANG², MENGGE CUI², JIA WANG², JIAJIA ZHANG², HUIHAI ZHAO², MENGYAN LI², HUA WANG², QUANMING ZOU^1,#,*, HAO ZENG^1,#,*

BIOCELL, Vol.48, No.9, pp. 1355-1368, 2024, DOI:10.32604/biocell.2024.051383 - 04 September 2024

Abstract Objective: Candida albicans is a common fungal pathogen that triggers complex host defense mechanisms, including coordinated innate and adaptive immune responses, to neutralize invading fungi effectively. Exploring the immune microenvironment has the potential to inform the development of therapeutic strategies for fungal infections. Methods: The study analyzed individual immune cell profiles in peripheral blood mononuclear cells from Candida albicans-infected mice and healthy control mice using single-cell transcriptomics, fluorescence quantitative PCR, and Western blotting. We investigated intergroup differences in the dynamics of immune cell subpopulation infiltration, pathway enrichment, and differentiation during Candida albicans infection. Results: Our findings indicate that infiltration… More >

Ahmed ElShafee¹, Walid El-Shafai², Abdulaziz Alarifi^3,*, 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 >

DOMENICO MARIA CARRETTA^1,§, MARINA DI DOMENICO^2,§, ROBERTO LOVERO³, ROBERTO ARRIGONI⁴, ANGELIKA ELZBIETA WEGIERSKA⁵, MARIAROSARIA BOCCELLINO^2,*, ANDREA BALLINI^2,6,*, IOANNIS ALEXANDROS CHARITOS^7,#, LUIGI SANTACROCE^5,#

BIOCELL, Vol.46, No.8, pp. 1779-1788, 2022, DOI:10.32604/biocell.2022.020009 - 22 April 2022

Abstract The existence of an inflammatory process in the heart muscle, related to a progressive worsening of myocardial function, different etiopathogenetic mechanisms concur and often overlap, thus making the diagnosis and the therapeutic approach complex. As the COVID-19 pandemic progresses, the effects of the disease on the organ systems and in particular on the cardiovascular system are becoming more and more profound. Cardiac involvement is a well-known event with a high percentage of findings in the heart’s magnetic field, even in asymptomatic areas. There are numerous uncertainties regarding their evolution, in the long and short term,… More >

Ashraf Ahmed¹, Yousef AbuHour^2,*, Ammar El-Hassan¹

Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 979-990, 2022, DOI:10.32604/iasc.2022.020726 - 17 November 2021

Abstract The Corona (COVID-19) epidemic has triggered interest in many fields of technology, medicine, science, and politics. Most of the mathematical research in this area focused on analyzing the dynamics of the spread of the virus. In this article, after a review of some current methodologies, a non-linear system of differential equations is developed to model the spread of COVID-19. In order to consider a wide spectrum of scenarios, we propose a susceptible-exposed-infected-quarantined-recovered (SEIQRS)-model which was analyzed to determine threshold conditions for its stability, and the number of infected cases that is an infected person will… More >

Muhammad Ramzan¹, Mudassar Raza¹, Muhammad Sharif¹, Muhammad Attique Khan², Yunyoung Nam^3,*

CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3239-3257, 2021, DOI:10.32604/cmc.2021.015920 - 24 August 2021

Abstract Automatic gastrointestinal (GI) tract disease recognition is an important application of biomedical image processing. Conventionally, microscopic analysis of pathological tissue is used to detect abnormal areas of the GI tract. The procedure is subjective and results in significant inter-/intra-observer variations in disease detection. Moreover, a huge frame rate in video endoscopy is an overhead for the pathological findings of gastroenterologists to observe every frame with a detailed examination. Consequently, there is a huge demand for a reliable computer-aided diagnostic system (CADx) for diagnosing GI tract diseases. In this work, a CADx was proposed for the… More >

Muhammad Attique Khan¹, Abdul Majid¹, Nazar Hussain¹, Majed Alhaisoni², Yu-Dong Zhang³, Seifedine Kadry⁴, Yunyoung Nam^5,*

CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3381-3399, 2021, DOI:10.32604/cmc.2021.014983 - 01 March 2021

Abstract In the area of medical image processing, stomach cancer is one of the most important cancers which need to be diagnose at the early stage. In this paper, an optimized deep learning method is presented for multiple stomach disease classification. The proposed method work in few important steps—preprocessing using the fusion of filtering images along with Ant Colony Optimization (ACO), deep transfer learning-based features extraction, optimization of deep extracted features using nature-inspired algorithms, and finally fusion of optimal vectors and classification using Multi-Layered Perceptron Neural Network (MLNN). In the feature extraction step, pre-trained Inception V3… More >

Guangyu Zhai^1,2, Kuan Zhang², Guorong Chai^1,*

Molecular & Cellular Biomechanics, Vol.18, No.1, pp. 21-31, 2021, DOI:10.32604/mcb.2021.014287 - 26 January 2021

Abstract The study mainly analyzed the relationship between temperature and the upper respiratory tract infections (URI) in Lanzhou. We collected the daily URI and meteorological data from 2010 to 2015. A distributed lag non-linear model was used to examine the relationship and potential effects of different temperatures and different lag days on the morbidity of URI. The results showed that the morbidity of URI was significantly related to the meteorological factors, and the peak of the onset of the disease usually occurred between November and February the next year. The correlation analysis was carried out between… More >

Tehmina Bahar^1,*, Adeeba Mahboob Qureshi¹, Fasiha Qurashi^1,2, Muniba Abid¹, Misbah Batool Zahra¹, Muhammad Saleem Haider¹

Phyton-International Journal of Experimental Botany, Vol.90, No.1, pp. 75-86, 2021, DOI:10.32604/phyton.2020.010597 - 20 November 2020

Abstract Most damaging plant diseases have been caused by viruses in the entire world. In tropical and subtropical areas, the damage caused by plant virus leads to great economic and agricultural losses. Single stranded DNA viruses (geminiviruses) are the most perilous pathogens which are responsible for major diseases in agronomic and horticultural crops. Significantly begomoviruses and mastreviruses are the biggest genus of plant infecting viruses, transmitted though Bemisia tabaci and members of Cicadellidae respectively. Plants possesses some naturally existing chemicals term as phyto-chemicals which perform important functions in the plant. Some antioxidant enzymes are used by plants for… More >

Aknur Turgumbayeva^1,2, Gulbaram Ustenova¹, Ubaidilla Datkhayev¹, Khairolla Rahimov³, Silvijus Abramavicius^4,5, Agile Tunaityte^4,*, Kairat Zhakipbekov^1,6, Kaldanay Kozhanova¹, Saken Tulemissov⁷, OzikhanUstenova⁸, Gulmira Datkayeva⁹, Edgaras Stankevicius^1,10

Phyton-International Journal of Experimental Botany, Vol.89, No.1, pp. 137-146, 2020, DOI:10.32604/phyton.2020.07665 - 01 March 2020

Abstract In this research we present that Carthamus Tinctorius L. (gen. Asteraceae, otherwise known as Safflower) (Fig. 1) may contain agents active in Cryptococcal infections, malaria and Leishmaniasis, as treatment options are becoming scarce due to drug resistance development. Phytochemistry and pharmacological activities (antimicrobial, antimalarial, antileishmanial) of C. tinctorius L. were analyzed. The composition of volatile oil of safflower dried flowers was analyzed by gas chromatography-mass spectrophotometry with flame ionization detector (GC-FID) and in vitro sensitivity assays were performed to assess biological activity. 8 known and 3 unknown compounds were detected in the extract (Fig. 1). Then the More >

Sarah Tweddell, Rohit S. Loomba, David S. Cooper, Alexis L. Benscoter

Congenital Heart Disease, Vol.14, No.5, pp. 785-790, 2019, DOI:10.1111/chd.12779

Abstract Introduction: Health care‐associated infections (HAIs) increase mortality, length of stay, and cost in hospitalized patients. The incidence of and risk factors for developing HAIs in the pediatric population after cardiac surgery have been studied. This study evaluates the impact of HAIs on length of stay, inpatient mortality, and cost of hospitalization in the pediatric population after cardiac surgery.
Methods: TheKids’InpatientDatabasewasqueriedforanalysis.Patientsunder18years of age who underwent cardiac surgery from 1997 to 2012 were included. HAIs were defined as central line‐associated blood stream infections, catheter‐associated urinary tract infections, ventilator‐associated pneumonias, and surgical wound infections. Univariate analysis compared admissions with and… More >