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A Comparison of Different Machine Learning Classifiers in Predicting Xerostomia and Sticky Saliva due to Head and Neck Radiotherapy using a Multi-objective, Multimodal Radiomics Model.
Biomed Phys Eng Express
January 2025
Radiation Oncology, Emory University, Emory Midtown Hospital, Atlanta, Georgia, 30322, UNITED STATES.
Although radiotherapy techniques are the primary treatment for head and neck cancer (HNC), they are still associated with substantial toxicity, and side effect. Machine learning (ML) based radiomics models for predicting toxicity mostly rely on features extracted from pre-treatment imaging data. This study aims to compare different models in predicting radiation-induced xerostomia and sticky saliva in both early and late stage of HNC patients using CT and MRI image features along with demographics and dosimetric information.
View Article and Find Full Text PDFPD15, a steroidal saponin, induces apoptosis of HCT116 colorectal cancer cells via suppressing the Akt/GSK3β pathway.
J Pharm Pharmacol
January 2025
Department of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China.
Objectives: PD15, a novel natural steroidal saponin extracted from the rhizomes of Paris delavayi Franchet, has demonstrated a strong cytotoxic effect against HepG2 and U87MG cells. However, its therapeutic effects on colorectal cancer (CRC) and the underlying molecular mechanisms remain unclear.
Methods: MTT assay, clonogenic assay, Hoechst 33258 staining, flow cytometry, molecular docking, and western blot were used to investigate the mechanism of PD15 in HCT116 cell lines.
The influence of sociodemographic and health factors on adherence to home-based rehabilitation after fast-track total knee arthroplasty: secondary analysis of a randomized controlled trial.
Disabil Rehabil
January 2025
Clinic Institute of Medical and Surgical Specialties (ICEMEQ), Hospital Clinic of Barcelona, Barcelona, Spain.
Purpose: Adherence to home rehabilitation following total knee arthroplasty (TKA) is essential to reach optimal functional outcomes, especially in fast-track procedures. The aim of this study is to identify which sociodemographic and health factors significantly affect adherence in this context.
Methods: This is a secondary analysis of a randomized controlled trial with 52 patients.
EEG-derived brainwave patterns for depression diagnosis via hybrid machine learning and deep learning frameworks.
Appl Neuropsychol Adult
January 2025
Faculty Xavier Institute of Engineering, Mahim, India.
In the fields of engineering, science, technology, and medicine, artificial intelligence (AI) has made significant advancements. In particular, the application of AI techniques in medicine, such as machine learning (ML) and deep learning (DL), is rapidly growing and offers great potential for aiding physicians in the early diagnosis of illnesses. Depression, one of the most prevalent and debilitating mental illnesses, is projected to become the leading cause of disability worldwide by 2040.
View Article and Find Full Text PDFPopulation-level Impact of HPV Vaccination on the Incidence of Genital Warts in Sweden.
J Infect Dis
January 2025
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, SE-17177 Stockholm, Sweden.
Background: Sweden introduced HPV vaccination in 2006, administered through opportunistic, subsidized, catch-up and school-based programs. Notably, genital warts (GW) are the first observable clinical outcome following infection by HPV-6/11, targeted by vaccination. We aim to gain knowledge of the incidence of GW in Sweden and evaluate its change throughout vaccination programs.
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