NADIA Z. SHAABAN¹, NASHWA K. IBRAHIM², HELEN N. SAADA², FATMA H. EL-RASHIDY¹, HEBATALLAH M. SHAABAN³, NERMEEN M. ELBAKARY^2,*, AHMAD S. KODOUS^1,2,*

Oncology Research, Vol.30, No.6, pp. 269-276, 2022, DOI:10.32604/or.2022.027277

Abstract Background: MicroRNAs (miRs) are small (19–25 nucleotides), non-protein coding RNAs that regulate gene expression, and thus play essential roles in cell cycle progression. The evidence has demonstrated that the expression of several miRs is dysregulated in human cancer. Methods: The study includes 179 female patients and 58 healthy women Patients were identified as luminal A, B, Her-2/neu, and basal-like, as well as classified into I, II, and III stages. Analysis of the expression fold change of miR-21 and miR-34a with molecular markers, including the oncogene Bcl-2 (B-cell lymphoma 2) and the tumor suppressor genes BRCA1 (breast cancer susceptibility gene 1),… More >

ALFREDO FRANCO-OBREGÓN^*

BIOCELL, Vol.47, No.2, pp. 239-244, 2023, DOI:10.32604/biocell.2023.025357

Abstract An organism’s survival depends on its ability to adapt to stress. Mitochondria are the cellular integrators of environmental stressors that ultimately translate their responses at the organismal level, and are thus central to the process whereby organisms adapt to their respective environments. Mitochondria produce molecular energy via oxidative phosphorylation that then allows cells to biosynthetically respond and adapt to changes in their environment. Reactive oxygen species (ROS) are by-products of oxidative phosphorylation that can be either beneficial or damaging, depending on the context; ROS are hence both the conveyors of environmental stress as well as cellular “adaptogens”. Mitohormesis refers to… More >

Alberto Cipriani^1,#, Pietro Bernardo Dall’Aglio^1,#, Laura Mazzotta¹, Domenico Sirico², George Sarris³, Mark Hazekamp⁴, Thierry Carrel⁵, Alessandro Frigiola⁶, Vladimir Sojak⁴, Mauro Lo Rito⁶, Jurgen Horer⁷, Regine Roussin⁷, Julie Cleuziou⁸, Bart Meyns⁹, Jose Fragata¹⁰, Helena Telles¹⁰, Anastasios C. Polimenakos¹¹, Katrien Francois¹², Altin Veshti¹³, Jukka Salminen¹⁴, Alvaro Gonzalez Rocafort¹⁵, Matej Nosal¹⁶, Eleftherios Protopapas³, Roberto Tumbarello¹⁷, Patrizio Sarto¹⁸, Cinzia Pegoraro¹⁸, Raffaella Motta¹⁹, Giovanni Di Salvo², Domenico Corrado¹, Vladimiro L. Vida¹, Massimo A. Padalino^1,2,*

Congenital Heart Disease, Vol.17, No.4, pp. 375-385, 2022, DOI:10.32604/chd.2022.019385

Abstract Background: Anomalous aortic origin of a coronary artery (AAOCA) is a congenital heart disease with a 0.3%−0.5% prevalence. Diagnosis is challenging due to nonspecific clinical presentation. Risk stratification and treatment are currently based on expert consensus and single-center case series. Methods: Demographical and clinical data of AAOCA patients from 17 tertiary-care centers were analyzed. Diagnostic imaging studies (Bidimensional echocardiography, coronary computed tomography angiography [CCTA] were collected. Clinical correlations with anomalous coronary course and origin were evaluated. Results: Data from 239 patients (42% males, mean age 15 y) affected by AAOCA were collected; 154 had AAOCA involving the right coronary artery… More > Graphic Abstract

Mujeeb Ur Rehman^1,*, Maha Driss^2,3, Abdukodir Khakimov⁴, Sohail Khalid¹

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

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, this article presents an AI-based… More >

Anurag Jain¹, Kusum Yadav², Hadeel Fahad Alharbi², Shamik Tiwari^1,*

CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 423-438, 2022, DOI:10.32604/cmc.2022.020238

Abstract Corona is a viral disease that has taken the form of an epidemic and is causing havoc worldwide after its first appearance in the Wuhan state of China in December 2019. Due to the similarity in initial symptoms with viral fever, it is challenging to identify this virus initially. Non-detection of this virus at the early stage results in the death of the patient. Developing and densely populated countries face a scarcity of resources like hospitals, ventilators, oxygen, and healthcare workers. Technologies like the Internet of Things (IoT) and artificial intelligence can play a vital role in diagnosing the COVID-19… More >

Abdulfattah Noorwali¹, Ameni Yengui^2,*, Kaiçar Ammous², Anis Ammous¹

Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 455-466, 2022, DOI:10.32604/iasc.2022.020574

Abstract Early fetal cardiac diseases and heart abnormalities can be detected and appropriately treated by monitoring fetal health during pregnancy. Advancements in computer sciences and the technology of sensors show that is possible to monitor fetal electrocardiogram (fECG). Both signal processing and experimental aspects are needed to be investigated to monitor fECG. In this study, we aim to design and realize a non invasive fECG monitoring system. In the first part of this work, a remote study process of the electrical activity of the heart is achieved. In fact, our proposed design considers transmitting the detected signals in real time using… More >

Chih-Ta Yen^1,*, Sheng-Nan Chang², Liao Jia-Xian³, Yi-Kai Huang³

CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 2937-2952, 2022, DOI:10.32604/cmc.2022.020493

Abstract This study proposed a measurement platform for continuous blood pressure estimation based on dual photoplethysmography (PPG) sensors and a deep learning (DL) that can be used for continuous and rapid measurement of blood pressure and analysis of cardiovascular-related indicators. The proposed platform measured the signal changes in PPG and converted them into physiological indicators, such as pulse transit time (PTT), pulse wave velocity (PWV), perfusion index (PI) and heart rate (HR); these indicators were then fed into the DL to calculate blood pressure. The hardware of the experiment comprised 2 PPG components (i.e., Raspberry Pi 3 Model B and analog-to-digital… More >

Lukas Minder¹, Markus Schwerzmann^1,2, Thomas Radtke^1,3, Hugo Saner¹, Prisca Eser¹, Matthias Wilhelm¹, Jean-Paul Schmid^1,4,*

Congenital Heart Disease, Vol.16, No.6, pp. 597-608, 2021, DOI:10.32604/CHD.2021.016031

Abstract Objective: To extend our knowledge on tolerance of acute high-altitude exposure and hemodynamic response to exercise in adolescents with congenital heart disease (AscCHD) without meaningful clinical or functional restriction. Methods: A symptom limited cardiopulmonary exercise stress test and a non-invasive cardiac output measurement during steady state exercise were performed at 540 m and at 3454 m a.s.l. Symptoms of acute mountain sickness were noted. Results: We recruited 21 healthy controls and 16 AscCHD (59% male, mean age 14.7 ± 1.1 years). Three subjects (2 controls, 1 AscCHD) presented light symptoms of acute mountain sickness (dizziness and headache). During the symptom… More >

Ali E. Dabiri^1,2,*, Erik Samwel³, Ghassan S. Kassab¹

Molecular & Cellular Biomechanics, Vol.17, No.2, pp. 75-83, 2020, DOI:10.32604/mcb.2020.08775

Abstract Nearly two billion people are afflicted with iron deficiency and approximately 300 million children globally have anemia. Most of those affected are unaware of their lack of iron, in part because detection of iron deficiency requires a blood test. It is becoming increasingly important to screen these individuals to reduce medical cost and avoid chronic disease conditions. There are limited settings of laboratory infrastructure for standard blood-based tests around the world to routinely accomplish this important screening test. We propose a new concept to use either human hair or nail as a screening method to detect steady state iron content… More >

Peng Wu^1,*, Qi Gao², Runjie Wei³, Hongping Wang³, Lizhong Wang³

Molecular & Cellular Biomechanics, Vol.16, Suppl.1, pp. 27-28, 2019, DOI:10.32604/mcb.2019.05711

Abstract Cardiovascular diseases are the leading cause of human deaths worldwide. Traditional diagnostic tools of cardiovascular diseases are either based on 2D static medical images, or invasive, bringing troubles to both patients and doctors. Our team is committed to the development of image-based non-invasive diagnostic system for cardiovascular diseases. We have made progress mainly in the following areas: 1) 4D flow technology for heart and large blood vessels. According to MRI 4D Flow data, three-dimensional velocity fields within blood vessels were constructed. Divergence-fee smoothing (DFS) was proposed to eliminate the high frequency noise in the hemodynamic flow field, and make the… More >