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Modified Uvular Repair in Children Undergoing Palatoplasty.
Cleft Palate Craniofac J
January 2025
Smile Train Cleft Leadership Center, Bhagwan Mahaveer Jain Hospital, Bangalore, India.
Background: Paucity exists in the literature on uvular repair while documenting palatoplasty techniques for children with cleft palate.
Solution: We propose a modified approach without losing any soft tissue structures, gaining better cosmetic outcome, and possibly having functional gains postoperatively.
What We Did That Is New: The proposed technique provides better cosmesis for the structures postoperatively and enhances the palatoglossal arch, which may prevent the spillage of saliva to the oropharyngeal region.
MCF-DTI: Multi-Scale Convolutional Local-Global Feature Fusion for Drug-Target Interaction Prediction.
Molecules
January 2025
School of Computer, Guangdong University of Education, Guangzhou 510310, China.
Predicting drug-target interactions (DTIs) is a crucial step in the development of new drugs and drug repurposing. In this paper, we propose a novel drug-target prediction model called MCF-DTI. The model utilizes the SMILES representation of drugs and the sequence features of targets, employing a multi-scale convolutional neural network (MSCNN) with parallel shared-weight modules to extract features from the drug side.
View Article and Find Full Text PDFAdvancing Orthodontic Aesthetics: Exploring the Potential of Injectable Composite Resin Techniques for Enhanced Smile Transformations.
Dent J (Basel)
December 2024
Department of Life, Health and Environmental Sciences, Postgraduate School of Orthodontics, University of L'Aquila, 67100 L'Aquila, Italy.
The injection moulding technique (IMT) is a minimally invasive restorative treatment. This technique enables the application of thin, flowable composite layers into a stable, transparent silicone index that serves as a mould. Due to the fluid properties of the composite, it efficiently fills the silicone tray and seamlessly integrates with the tooth structure, often obviating tooth preparation and preserving overall tooth integrity.
View Article and Find Full Text PDFMGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction.
BMC Bioinformatics
January 2025
School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, 611756, Sichuan, China.
Background: Drug response prediction is critical in precision medicine to determine the most effective and safe treatments for individual patients. Traditional prediction methods relying on demographic and genetic data often fall short in accuracy and robustness. Recent graph-based models, while promising, frequently neglect the critical role of atomic interactions and fail to integrate drug fingerprints with SMILES for comprehensive molecular graph construction.
View Article and Find Full Text PDFBiochemical components of corneal stroma: a study on myopia classification based on Raman spectroscopy and deep learning methods.
Biomed Opt Express
January 2025
Center for Biomedical-photonics and Molecular Imaging, Advanced Diagnostic-Therapy Technology and Equipment Key Laboratory of Higher Education Institutions in Shaanxi Province, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China.
The study aimed to identify differences in the biochemical composition of corneal stroma lenses across varying degrees of myopia using Raman spectrum characteristics. Corneal stroma lens samples from 38 patients who underwent small incision lens extraction (SMILE) surgery, were categorized into low (n = 9, spherical power -3.00D), moderate (n = 23, spherical power < -3.
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