WEI LIANG^1,2,*, ZONGWEI ZHANG^1,2, KEJU YANG^1,2,3, HONGTU HU^1,2, QIANG LUO^1,2, ANKANG YANG^1,2, LI CHANG⁴, YUANYUAN ZENG⁴

BIOCELL, Vol.47, No.6, pp. 1253-1263, 2023, DOI:10.32604/biocell.2023.027373 - 19 May 2023

Abstract Background: Diabetic nephropathy (DN) is the most common complication of type 2 diabetes mellitus and the main cause of end-stage renal disease worldwide. Diagnostic biomarkers may allow early diagnosis and treatment of DN to reduce the prevalence and delay the development of DN. Kidney biopsy is the gold standard for diagnosing DN; however, its invasive character is its primary limitation. The machine learning approach provides a non-invasive and specific criterion for diagnosing DN, although traditional machine learning algorithms need to be improved to enhance diagnostic performance. Methods: We applied high-throughput RNA sequencing to obtain the genes… More >

B. Porro, K. Lamore

Psycho-Oncologie, Vol.17, No.1, pp. 1-4, 2023, DOI:10.3166/pson-2022-0229

Abstract This article has no abstract. More >

HONG YANG^1,2, WAN LI^1,2, LIWEN REN^1,2, YIHUI YANG^1,2, YIZHI ZHANG^1,2, BINBIN GE^1,2, SHA LI^1,2, XIANGJIN ZHENG^1,2, JINYI LIU^1,2, SEN ZHANG^1,2, GUANHUA DU^1,2, BO TANG³, HONGQUAN WANG³, JINHUA WANG^1,2,*

Oncology Research, Vol.31, No.2, pp. 83-99, 2023, DOI:10.32604/or.2023.028905 - 10 April 2023

Abstract Pancreatic cancer is a malignant disease characterized by low survival and high recurrence rate, whose patients are mostly at the stage of locally advanced or metastatic disease when first diagnosed. Early diagnosis is particularly important because prognostic/predictive markers help guide optimal individualized treatment regimens. So far, CA19-9 is the only biomarker for pancreatic cancer approved by the FDA, but its effectiveness is limited by low sensitivity and specificity. With recent advances in genomics, proteomics, metabolomics, and other analytical and sequencing technologies, the rapid acquisition and screening of biomarkers is now possible. Liquid biopsy also occupies More > Graphic Abstract

Tamim Alkhalifah^1,*, Jimmy Singla², Fahad Alurise¹

Computer Systems Science and Engineering, Vol.46, No.3, pp. 3559-3582, 2023, DOI:10.32604/csse.2023.036534 - 03 April 2023

Abstract The diagnosis of liver fibrosis (LF) is crucial as it is a deadly and life-threatening disease. Artificial intelligence techniques aid doctors by using the previous data on health and making a diagnostic system, which helps to take decisions about patients’ health as experts can. The historical data of a patient’s health can have vagueness, inaccurate, and can also have missing values. The fuzzy logic theory can deal with these issues in the dataset. In this paper, a multilayer fuzzy expert system is developed to diagnose LF. The model is created by using multiple layers of… More >

C. Vairavel^1,*, N. S. Nithya²

Computer Systems Science and Engineering, Vol.46, No.2, pp. 2159-2175, 2023, DOI:10.32604/csse.2023.036598 - 09 February 2023

Abstract The immune system goes through a profound transformation during pregnancy, and certain unexpected maternal complications have been correlated to this transition. The ability to correctly examine, diagnoses, and predict pregnancy-hastened diseases via the available big data is a delicate problem since the range of information continuously increases and is scalable. Many approaches for disease diagnosis/classification have been established with the use of data mining concepts. However, such methods do not provide an appropriate classification/diagnosis model. Furthermore, single learning approaches are used to create the bulk of these systems. Classification issues may be made more accurate… More >

Hicham Moujahid¹, Bouchaib Cherradi^1,2,*, Oussama El Gannour¹, Wamda Nagmeldin³, Abdelzahir Abdelmaboud⁴, Mohammed Al-Sarem^5,6, Lhoussain Bahatti¹, Faisal Saeed⁷, Mohammed Hadwan^8,9

Computer Systems Science and Engineering, Vol.46, No.2, pp. 1789-1809, 2023, DOI:10.32604/csse.2023.034022 - 09 February 2023

Abstract Due to the rapid propagation characteristic of the Coronavirus (COVID-19) disease, manual diagnostic methods cannot handle the large number of infected individuals to prevent the spread of infection. Despite, new automated diagnostic methods have been brought on board, particularly methods based on artificial intelligence using different medical data such as X-ray imaging. Thoracic imaging, for example, produces several image types that can be processed and analyzed by machine and deep learning methods. X-ray imaging materials widely exist in most hospitals and health institutes since they are affordable compared to other imaging machines. Through this paper,… More >

R. Radha^1,*, R. Gopalakrishnan²

Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 3113-3127, 2023, DOI:10.32604/iasc.2023.030667 - 17 August 2022

Abstract In the field of diagnosis of medical images the challenge lies in tracking and identifying the defective cells and the extent of the defective region within the complex structure of a brain cavity. Locating the defective cells precisely during the diagnosis phase helps to fight the greatest exterminator of mankind. Early detection of these defective cells requires an accurate computer-aided diagnostic system (CAD) that supports early treatment and promotes survival rates of patients. An earlier version of CAD systems relies greatly on the expertise of radiologist and it consumed more time to identify the defective… More >

Jun Sung Park¹, Go Hun Seo², Yunha Choi¹, Soojin Hwang¹, Minji Kang³, Hyo-Sang Do³, Young-Hwue Kim⁴, Jeong Jin Yu⁴, Ellen Ai-Rhan Kim⁵, Euiseok Jung⁵, Byong Sop Lee⁵, Jae Suk Baek⁴, Beom Hee Lee^1,6,*

Congenital Heart Disease, Vol.17, No.6, pp. 653-673, 2022, DOI:10.32604/chd.2022.021580 - 11 October 2022

Abstract Background: Over 400 genes contribute to the development of congenital heart disease (CHD). Additionally, multisystemic manifestations accompanying syndromic CHD pose a higher risk of genetic diseases. This study investigated the diagnostic yield of whole-exome sequencing (WES) in patients with sporadic syndromic CHD and the phenotypic factors affecting the genetic diagnostic rate. Methods: Sixty-four patients with sporadic syndromic CHD aged <18 years underwent WES between May 2018 and December 2020 in a single tertiary center, and the association between genetic testing data and extracardiac phenotypes was analyzed. Results: Extracardiac phenotypes were measured as 3.66 ± 3.05 (standard deviation,… More > Graphic Abstract

Shi-Joon Yoo^1,2,*, Ankavipar Saprungruang², Christopher Z. Lam¹, Robert H. Anderson³

Congenital Heart Disease, Vol.17, No.5, pp. 495-504, 2022, DOI:10.32604/chd.2022.021155 - 06 September 2022

Abstract In the last issue, two case reports separately present examples of the extremely rare and complex congenital heart diseases that show concordant atrioventricular connections to the L-looped ventricles in the presence of situs solitus. Both cases highlight that the relationship between the two ventricles within the ventricular mass is not always harmonious with the given atrioventricular connection. Such disharmony between the connections and relationships requires careful assessment of the three basic facets of cardiac building blocks, namely their morphology, the relationship of their component parts, and their connections with the adjacent segments. 3D imaging and printing can More > Graphic Abstract

ALPASLAN OZTURK^1,*, MEHMET KARA²

BIOCELL, Vol.46, No.12, pp. 2625-2635, 2022, DOI:10.32604/biocell.2022.023124 - 10 August 2022

Abstract In this study, our aim was to examine the diagnostic and prognostic significance of lymphocyte/C-reactive protein ratio (LCR), neutrophil/lymphocyte ratio (NLR) and D-dimer parameters in COVID-19 infection. The LCR, NLR, neutrophil count, mean platelet volume (MPV), C-reactive protein (CRP), and D-dimer parameters were evaluated retrospectively. This was a retrospective cohort study with 1000 COVID-19 positive and 1000 healthy control groups, all over the age of 18 years. Odds ratio (OR) and 95% confidence interval (CI) values were calculated for each parameter found to be statistically significant in the univariate and multivariate logistic regression models. Herein,… More >