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77 results for “Clinical Evaluation”
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Research ArticleOpen accessIn the abstractIoT-Integrated CNN Deep Learning for Automated Breast Cancer Detection and DiagnosisYamini Kalva, R. Ganesh Babu, Sindhu V. et al.Breast cancer continues to be a primary cause of death in women, requiring prompt and accurate diagnosis to enhance treatment results. Traditional diagnostic techniques depend on manual assessment, which leads to possible misclassification, significant inter-observer variability, and delays in decision-making. Current deep learning models, including CNNs, frequently experience feature loss, gradient declining and restricted adaptability to real-time data. To overcome … …Journal of Computer Science, Vol. 22, Issue 4 · 30 Mar 2026 · 1,753 accessesView PDFCite
Research ArticleOpen accessIn the abstractSenior Expertise and Peer Consensus: A Comparative Analysis of AI and Clinician Measurements in Multi-Curve Scoliosis AssessmentFrank Ibañez Elijorde, Joselito F. Villaruz, Ma Beth S. Concepcion, Mylo N. SoriasoGiven the scarcity in the literature, this study explored the use of AI for multi-curve scoliosis assessment. Its performance was analyzed through comparison against a group of clinicians composed of one senior and five non-senior orthopedic surgeons. The analysis focused on Cobb angle measurement and identification of vertebral endplates across three curve regions, namely Main Thoracic (MT), Proximal Thoracic (PT), … …Journal of Computer Science, Vol. 22, Issue 3 · 9 Mar 2026 · 1,390 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvancing Stroke Lesion Segmentation With U-Net Variants: Classical, Transfer Learning, and MRI Sequence-Specific Customized ApproachesSonia Flora Panesar, Amit P. GanatraIschemic stroke, caused by restricted cerebral blood flow, is a leading cause of death and disability worldwide. Accurate segmentation of stroke lesions in MRI is essential for timely diagnosis but remains labor-intensive when done manually. This study presents a comparative evaluation of three U-Net variants for automated ischemic stroke lesion segmentation using the ISLES 2022 dataset: (1) Classical U-Net with … …Journal of Computer Science, Vol. 22, Issue 2 · 27 Feb 2026 · 1,791 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Integrated Disease Progression Model to Analyze Electronic Health Records With Multimodal Datasets Using Deep Learning TechniquesThulaganyo Dimakatso, Venumadhav Kuthadi, Rajalakshmi Selvaraj, Othapile DinakenyaneIn contemporary clinical environments, precisely simulating the emergence of disease is an intricate task owing to heterogeneously derived data and variability in the record of diagnoses. The research presents a stable classification model that integrates image data with formalized patient data to track patterns in disease through various stages. The suggested approach combines a multi-stage analytical methodology that includes systematic … …Journal of Computer Science, Vol. 22, Issue 2 · 19 Feb 2026 · 1,678 accessesView PDFCite
Research ArticleOpen accessIn the abstractAntiproliferative Potential of Pomegranate Peel Extract in MDA-MB Breast Cancer Cell LinesManal Asif Hamdulay, Fatema Yusuf Singaporewala, Grisilda Vidya Bernhardt et al.Nutraceuticals have gained recognition as adjuvant therapies in cancer treatment due to their non-toxic and protective properties. Among various natural products, pomegranate peel with high antioxidant capacity and rich polyphenol content suggest potential anticancer properties. Previous studies have shown promising anticancer effects of other parts of the pomegranate. The purpose of this research is to compare the effectiveness of Pomegranate … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 1 · 13 May 2025 · 5,582 accessesView PDFCite
Research ArticleOpen accessIn the abstractTailoring the Ruggiero-Klinghardt Protocol to Immunotherapy of AutismNicola Antonucci, Dietrich Klinghardt, Stefania Pacini, Marco RuggieroHere, we describe the adaptation to the field of autism of an original procedure denominated the "Ruggiero-Klinghardt Protocol" (RK Protocol), a procedure that represents a paradigm change with significant implications for chronic conditions where immunotherapy may prove effective; that is from silent infections to neurodegenerative diseases, autism and cancer. In the context of autism, the modified RK Protocol that we … …American Journal of Immunology, Vol. 14, Issue 1 · 25 Apr 2019 · 11,204 accessesView PDFCite
Case ReportOpen accessIn the abstractEarly Management of Non-Syndromic Hypodontia in a Child: Three-Year Follow-UpRoula Berbari, Nahla NassifHypodontia is the congenital absence of few teeth. The early multidisciplinary management of hypodontia assures the reestablishment of the disturbed psychological, aesthetic and oral functions. In this study, the clinical case of a child presenting a non-syndromic hypodontia with three agenesis teeth was described. No evidence of maxillary and mandibular third molars bud formation was noted on the orthopantomograph. To … …Current Research in Dentistry, Vol. 12, Issue 1 · 15 Apr 2021 · 6,474 accessesView PDFCite
Research ArticleOpen accessIn the abstractInclusion of Molasses or Glucose Syrup in Starter Concentrate for Dairy Calves: Effects on Diarrheic CalvesMarcelo Cezar Soares, Carlos Eduardo Oltramari, Marília Ribeiro de Paula et al.Severity of metabolic acidosis and other clinical signs in diarrheic dairy calves fed a starter concentrate containing molasses or glucose syrup as a replacement for corn were evaluated. Thirty-two calves were blocked according to birth weight and were divided into four treatments according to starter concentrate composition: (1) Control, starter concentrate based on corn; (2) 5% of molasses as a … …American Journal of Animal and Veterinary Sciences, Vol. 11, Issue 1 · 28 Mar 2016 · 7,254 accessesView PDFCite
Review ArticleOpen accessIn the abstractSegmentation Methods of Echocardiography Images for Left Ventricle Boundary DetectionSamaneh Mazaheri, Rahmita Wirza, Puteri Suhaiza Sulaiman et al.Due to acoustic interferences and artifacts which are inherent in echocardiography images, automatic segmentation of anatomical structures in cardiac ultrasound images is a real challenge. This paper surveys state-of-the-art researches on echocardiography data segmentation methods, concentrating on methods techniques developed for clinical data. We present a classification of methodologies for echocardiography image segmentation. By choosing ten recent papers which have … …Journal of Computer Science, Vol. 11, Issue 9 · 6 Dec 2015 · 7,054 accessesView PDFCite
EditorialOpen accessIn the abstractImpact of Quantitative Pharmacology on Drug DevelopmentAna Ruiz-Garcia, Kourosh ParivarThesuccess of drug development rests over two well defined pillars, a goodunderstanding of the drug’s clinical pharmacology and the appropriate targetpopulation for whom the clinical use is intended. The label for human prescription drugsrequires a good understanding of the pharmacological effects (pharmacodynamicsor PD) and the mechanism of action of the drug as well as detailed informationof the drug’s Pharmacokinetics (PK): … …American Journal of Pharmacology and Toxicology, Vol. 9, Issue 4 · 24 Apr 2015 · 7,158 accessesView PDFCite