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http://dx.doi.org/10.1128/jb.81.4.636-641.1961 | DOI Listing |
J Contemp Dent Pract
October 2024
Department of Prosthodontics, Dr. D.Y. Patil Dental College and Hospital, Dr. D.Y. Patil Vidyapeeth, Pune, Maharashtra, India.
Aim: The current investigation aimed to evaluate the accuracy of ultrasonography and color Doppler performed in the diagnosis of intraosseous jaw lesions.
Materials And Methods: A total of 30 patients with intraosseous jaw lesions between the ages of 12 and 60 were selected for the present study. For every jaw lesion, a preliminary diagnosis was done using preoperative conventional radiographs.
J Dermatol
January 2025
Department of Dermatology, Wakayama Medical University, Wakayama, Japan.
To identify patients with infantile hemangioma (IH) in need of early-stage treatment in this multicenter, prospective, observational study, we investigated the potential of plasma cytokines as a clinically useful marker. Plasma samples were collected at three time points from 41 patients with infantile hemangioma: baseline (days 14-60 after delivery), visit 1 (days 61-150, the proliferative phase), and visit 2 (days 151-395, the involuting phase). With a twofold or more increase in tumor volume during the baseline-visit 1 period regarded as progression, progression was seen in 15 cases (36.
View Article and Find Full Text PDFJ Res Adolesc
March 2025
Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands.
Friends' influence may importantly contribute to the development of adolescent disordered eating behaviors. However, little is known about the influence of friends on loss of control eating. This study investigated whether friend-reported loss of control eating was associated with changes in adolescents' own loss of control eating 1 year later and tested whether adolescents with lower self-esteem, higher fear of negative evaluation, and higher body dissatisfaction were more susceptible to friends' influence.
View Article and Find Full Text PDFJ Dent Sci
January 2025
School of Dentistry, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Background/purpose: Oral mucosal lesions are associated with a variety of pathological conditions. Most deep-learning-based convolutional neural network (CNN) systems for computer-aided diagnosis of oral lesions have typically concentrated on determining limited aspects of differential diagnosis. This study aimed to develop a CNN-based diagnostic model capable of classifying clinical photographs of oral ulcerative and associated lesions into five different diagnoses, thereby assisting clinicians in making accurate differential diagnoses.
View Article and Find Full Text PDFFront Cell Infect Microbiol
January 2025
Department of Clinical Laboratory Medicine Center, Inner Mongolia Autonomous Region People's Hospital, Hohhot, Inner Mongolia, China.
Introduction: This study aims to utilize proteomics, bioinformatics, and machine learning algorithms to identify diagnostic biomarkers in the serum of patients with acute and chronic brucellosis.
Methods: Proteomic analysis was conducted on serum samples from patients with acute and chronic brucellosis, as well as from healthy controls. Differential expression analysis was performed to identify proteins with altered expression, while Weighted Gene Co-expression Network Analysis (WGCNA) was applied to detect co-expression modules associated with clinical features of brucellosis.
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