Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Antifungal-drug interactions in oncology: A cross-sectional study highlighting the role of pharmacists.
J Oncol Pharm Pract
January 2025
Department of Pharmacy, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan.
Study Objective: Complex pharmacotherapy in cancer patients increases the likelihood of drug-drug interactions (DDIs). Pharmacists play a critical role in the identification and management of DDIs. The aim of present study was to evaluate the role of pharmacist in identifying antifungal drug interactions in cancer patients and providing relevant recommendations.
View Article and Find Full Text PDFComprehensive analysis of the interaction microbiome and prostate cancer: an initial exploration from multi-cohort metagenome and GWAS studies.
J Transl Med
January 2025
Department and Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095 Jiefang Avenue, Wuhan, Wuhan, 430030, P.R. China.
Introduction: Prostate cancer is one of the most common cancers in the United States with a high mortality rate. In recent years, the traditional opinion about prostate microbiome was challenged. Although there still are some arguments, an escalating number of researchers are shifting their focus toward the microbiome within the prostate tumor environment.
View Article and Find Full Text PDFAiGPro: a multi-tasks model for profiling of GPCRs for agonist and antagonist.
J Cheminform
January 2025
School of Systems Biomedical Science, Soongsil University, 369 Sangdo-ro, Dongjak-gu, 06978, Seoul, Republic of Korea.
G protein-coupled receptors (GPCRs) play vital roles in various physiological processes, making them attractive drug discovery targets. Meanwhile, deep learning techniques have revolutionized drug discovery by facilitating efficient tools for expediting the identification and optimization of ligands. However, existing models for the GPCRs often focus on single-target or a small subset of GPCRs or employ binary classification, constraining their applicability for high throughput virtual screening.
View Article and Find Full Text PDFEvaluation of angular and positional changes of maxillary third molars following premolar extraction, molar distalization, and non-extraction treatments.
BMC Oral Health
January 2025
Department of Orthodontics, Afyonkarahisar Health Sciences University Faculty of Dentistry, Afyonkarahisar, Turkey.
Background: To compare the effects of first premolar extraction, molar distalization, and non-extraction treatments on the angulation and vertical positions of maxillary second molars (MxM2s) and maxillary third molars (MxM3s). To our knowledge, this is the first study to compare the effects of three different treatment types on MxM3 simultaneously.
Methods: Initial (T0) and final (T1) panoramic radiographs of three different patient groups were analyzed: first premolar extraction group (n = 26 patients, 52 MxM2, 52 MxM3), molar distalization group (n = 20 patients, 40 MxM2, 40 MxM3), and non-extraction group (n = 31 patients, 62 MxM2, 62 MxM3).
Enhancing furcation involvement classification on panoramic radiographs with vision transformers.
BMC Oral Health
January 2025
Department of Periodontics, Affiliated Hospital of Medical School, Nanjing Stomatological Hospital, Research Institute of Stomatology, Nanjing University, Nanjing, China.
Background: The severity of furcation involvement (FI) directly affected tooth prognosis and influenced treatment approaches. However, assessing, diagnosing, and treating molars with FI was complicated by anatomical and morphological variations. Cone-beam computed tomography (CBCT) enhanced diagnostic accuracy for detecting FI and measuring furcation defects.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!