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Application of a Novel Multimodal-Based Deep Learning Model for the Prediction of Papillary Thyroid Carcinoma Recurrence.
Int J Gen Med
December 2024
Department of Internal Medicine, Chungbuk National University College of Medicine and Chungbuk National University Hospital, Cheongju, South Korea.
Purpose: Papillary thyroid carcinoma (PTC) is the most common thyroid malignancy. Although its mortality rate is low, some patients experience cancer recurrence during follow-up. In this study, we investigated the accuracy of a novel multimodal model by simultaneously analyzing numeric and time-series data to predict recurrence in patients with PTC after thyroidectomy.
View Article and Find Full Text PDFEquity structure and corporate innovation performance: Evidence from Chinese high-tech companies.
Heliyon
December 2024
State Grid Corporation of China, China.
In the era of globalization and technological innovation, enhancing business innovation performance is pivotal for driving economic growth and maintaining competitive edge. Among the various aspects of corporate governance, equity structure stands out for its influence on firms' innovative activities. This study explores the impact of equity structure on the innovation performance of high-tech listed companies, as well as the mediating role of R&D investment and the moderating effect of market competition.
View Article and Find Full Text PDFPredictive analytics technique based on hybrid sampling to manage unbalanced data in smart cities.
Heliyon
December 2024
Computer Science & Engineering Department, University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya (Technological University of Madhya Pradesh), Bhopal, Madhya Pradesh, India.
A smart city is deemed smart enough because it has the capability to make decisions on its own. Artificial intelligence needs a lot of data from the physical world to make correct decisions. IoT sensor devices collect data from the surroundings, which is further used for predictive analytics.
View Article and Find Full Text PDFStructural Variation Interpretation in the Genome Sequencing Era: Lessons from Cytogenetics.
Clin Chem
January 2025
Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT, United States.
Background: Structural variation (SV), defined as balanced and unbalanced chromosomal rearrangements >1 kb, is a major contributor to germline and neoplastic disease. Large variants have historically been evaluated by chromosome analysis and now are commonly recognized by chromosomal microarray analysis (CMA). The increasing application of genome sequencing (GS) in the clinic and the relatively high incidence of chromosomal abnormalities in sick newborns and children highlights the need for accurate SV interpretation and reporting.
View Article and Find Full Text PDFMate-Pair Sequencing Enables Identification and Delineation of Balanced and Unbalanced Structural Variants in Prenatal Cytogenomic Diagnostics.
Clin Chem
January 2025
Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.
Background: Mate-pair sequencing detects both balanced and unbalanced structural variants (SVs) and simultaneously informs in relation to both genomic location and orientation of SVs for enhanced variant classification and clinical interpretation, while chromosomal microarray analysis (CMA) only reports deletion/duplication. Herein, we evaluated its diagnostic utility in a prospective back-to-back prenatal comparative study with CMA.
Methods: From October 2021 to September 2023, 426 fetuses with ultrasound anomalies were prospectively recruited for mate-pair sequencing and CMA in parallel for prenatal genetic diagnosis.
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