SHA ZHU^#, NANWEI XU^#, JIAYU LIANG, FENGNIAN ZHAO, ZILIN WANG, YUCHAO NI, JINDONG DAI, JINGE ZHAO, XINGMING ZHANG, JUNRU CHEN, GUANGXI SUN, PENGFEI SHEN^*, HAO ZENG^*

Oncology Research, Vol.31, No.4, pp. 605-614, 2023, DOI:10.32604/or.2023.028321

Abstract Background: KMT2 (lysine methyltransferase) family enzymes are epigenetic regulators that activate gene transcription. KMT2C is mainly involved in enhancer-associated H3K4me1, and is also one of the top mutated genes in cancer (6.6% in pan-cancer). Currently, the clinical significance of KMT2C mutations in prostate cancer is understudied. Methods: We included 221 prostate cancer patients diagnosed between 2014 and 2021 in West China Hospital of Sichuan University with cell-free DNA-based liquid biopsy test results in this study. We investigated the association between KMT2C mutations, other mutations, and pathways. Furthermore, we evaluated the prognostic value of KMT2C mutations, measured by overall survival (OS)… More >

Xingbang Li^1,#, Xuan Zheng^2,#, Bowen Jin¹, Yunyan Li¹, Yongyu Shao¹, Xiaoxian Deng¹, Dingyang Li¹, Shanshan Li¹, Hongmei Zhou¹, Jie Zhang³, Xianya Zhang⁴, Qunshan Shen¹, Gangcheng Zhang^2,*

Congenital Heart Disease, Vol.18, No.3, pp. 373-385, 2023, DOI:10.32604/chd.2023.028979

Abstract Background: Transcatheter closure of patent foramen ovale (PFO) has been widely accepted as a highly effective way to treat high-risk PFO-related diseases. However, traditional non-degradable occluders made of metal alloys will permanently exist in the body, resulting in thrombosis, valve damage, hemolysis, arrhythmia, or other complications. The biodegradable PFO occluder developed by Shanghai Mallow Medical Instrument Co., Ltd., China can be fully absorbed and degrade into nontoxic ingredients, reducing postoperative complications. Objectives: To study the safety and efficacy of biodegradable PFO occluders in treating PFO. Methods: This single-center clinical trial collected 30 patients treated with a biodegradable PFO occluder. The… More > Graphic Abstract

A. Manju¹, R. kaladevi², Shanmugasundaram Hariharan³, Shih-Yu Chen^4,5,*, Vinay Kukreja⁶, Pradip Kumar Sharma⁷, Fayez Alqahtani⁸, Amr Tolba⁹, Jin Wang¹⁰

CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 993-1007, 2023, DOI:10.32604/cmc.2023.039567

Abstract The medical community has more concern on lung cancer analysis. Medical experts’ physical segmentation of lung cancers is time-consuming and needs to be automated. The research study’s objective is to diagnose lung tumors at an early stage to extend the life of humans using deep learning techniques. Computer-Aided Diagnostic (CAD) system aids in the diagnosis and shortens the time necessary to detect the tumor detected. The application of Deep Neural Networks (DNN) has also been exhibited as an excellent and effective method in classification and segmentation tasks. This research aims to separate lung cancers from images of Magnetic Resonance Imaging… More >

Sarab AlMuhaideb^*, Yasmeen AlNegheimish, Taif AlOmar, Reem AlSabti, Maha AlKathery, Ghala AlOlyyan

CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 195-220, 2023, DOI:10.32604/cmc.2023.038368

Abstract Healthcare organizations rely on patients’ feedback and experiences to evaluate their performance and services, thereby allowing such organizations to improve inadequate services and address any shortcomings. According to the literature, social networks and particularly Twitter are effective platforms for gathering public opinions. Moreover, recent studies have used natural language processing to measure sentiments in text segments collected from Twitter to capture public opinions about various sectors, including healthcare. The present study aimed to analyze Arabic Twitter-based patient experience sentiments and to introduce an Arabic patient experience corpus. The authors collected 12,400 tweets from Arabic patients discussing patient experiences related to… More >

Mohammed A. Al Ghamdi^*

CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 881-894, 2023, DOI:10.32604/cmc.2023.037826

Abstract Considerable resources, technology, and efforts are being utilized worldwide to eradicate the coronavirus. Although certain measures taken to prevent the further spread of the disease have been successful, efforts to completely wipe out the coronavirus have been insufficient. Coronavirus patients have symptoms similar to those of chest Tuberculosis (TB) or pneumonia patients. Chest tuberculosis and coronavirus are similar because both diseases affect the lungs, cause coughing and produce an irregular respiratory system. Both diseases can be confirmed through X-ray imaging. It is a difficult task to diagnose COVID-19, as coronavirus testing kits are neither excessively available nor very reliable. In… More >

Mohamed Esmail Karar^1,2,*, Amged Sayed A. Mahmoud^2,3

Computer Systems Science and Engineering, Vol.47, No.1, pp. 721-739, 2023, DOI:10.32604/csse.2023.039235

Abstract Abnormal high blood pressure or hypertension is still the leading risk factor for death and disability worldwide. This paper presents a new intelligent networked control of medical drug infusion system to regulate the mean arterial blood pressure for hypertensive patients with different health status conditions. The infusion of vasoactive drugs to patients endures various issues, such as variation of sensitivity and noise, which require effective and powerful systems to ensure robustness and good performance. The developed intelligent networked system is composed of a hybrid control scheme of interval type-2 fuzzy (IT2F) logic and teaching-learning-based optimization (TLBO) algorithm. This networked IT2F… More >

Rui Wen^1,*, Jie Zhou², Zhongliang Shen¹, Xiaorui Zhang^2,3,4, Sunil Kumar Jha⁵

Computer Systems Science and Engineering, Vol.47, No.1, pp. 187-204, 2023, DOI:10.32604/csse.2023.037889

Abstract Convolution Neural Networks (CNN) can quickly diagnose COVID-19 patients by analyzing computed tomography (CT) images of the lung, thereby effectively preventing the spread of COVID-19. However, the existing CNN-based COVID-19 diagnosis models do consider the problem that the lung images of COVID-19 patients in the early stage and incubation period are extremely similar to those of the non-COVID-19 population. Which reduces the model’s classification sensitivity, resulting in a higher probability of the model misdiagnosing COVID-19 patients as non-COVID-19 people. To solve the problem, this paper first attempts to apply triplet loss and center loss to the field of COVID-19 image… More >

A.-M. Bourdot

Psycho-Oncologie, Vol.16, No.1, pp. 206-211, 2022, DOI:10.3166/pson-2022-0186

Abstract L’engouement pour les différentes approches corporelles dans le soin invite à les interroger comme expé- rience formatrice pour les soignants. Prenant pour appui la relaxation psychanalytique Sapir, nous désirons par les liens théoricocliniques en montrer l’intérêt pour questionner et ressentir la relation de soins. Pratiquée auprès des soignants, la relaxation psychanalytique Sapir permettrait d’éprouver l’engagement nécessaire à la relation de soins et les difficultés qu’elle engendre. More >

A. Couillet, B. Mastroianni, J. Hailloud, M.-P. Le Bris, G. Chvetzoff

Psycho-Oncologie, Vol.16, No.1, pp. 182-191, 2022, DOI:10.3166/pson-2022-0183

Abstract Des ateliers de méditation ont été proposés aux patients, nous en avons étudié la faisabilité pendant les soins oncologiques. Ils ont été adaptés du fait de la Covid-19 : une session a eu lieu en présentiel, la suivante en distanciel. Les données ont été analysées de manière rétrospective. Une analyse mixte a été menée : le volet quantitatif a évalué la participation aux ateliers, les caractéristiques des patients et l’impact des ateliers, le volet qualitatif s’est concentré sur l’appropriation de cet outil par les patients. Concernant la faisabilité, 66,7 % des patients ont terminé le programme, il n’y avait pas… More >

E. Guerdoux, L. Coutant, M. Del Rio, S. Gourgou, F. Quenet, G. Ninot

Psycho-Oncologie, Vol.16, No.1, pp. 192-198, 2022, DOI:10.3166/pson-2022-0177

Abstract Objectif : Évaluer l’implémentation d’une pratique quotidienne de cohérence cardiaque chez des patients opérés pour une carcinose péritonéale.
Matériel et méthode : Étude pilote monocentrique, ouverte, contrôlée, randomisée non comparative, incluant 20 patients en soins courants vs 40 patients formés à la cohérence cardiaque avec biofeedback et guide respiratoire pour une pratique au domicile enregistrée.
Résultats attendus : Adhésion satisfaisante au programme, pouvant caractériser les éléments favorisant son implémentation avant et après chirurgie et évaluation de son impact sur l’anxiété.
Perspectives : Efficacité à déterminer pour transférer ce soin de support. More >