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Using partially shared radiomics features to simultaneously identify isocitrate dehydrogenase mutation status and epilepsy in glioma patients from MRI images.
Sci Rep
January 2025
Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai, China.
Prediction of isocitrate dehydrogenase (IDH) mutation status and epilepsy occurrence are important to glioma patients. Although machine learning models have been constructed for both issues, the correlation between them has not been explored. Our study aimed to exploit this correlation to improve the performance of both of the IDH mutation status identification and epilepsy diagnosis models in patients with glioma II-IV.
View Article and Find Full Text PDFMetallofullerenol Gd@C(OH) preserves human erythrocyte plasma membrane integrity from AAPH-induced oxidative stress: molecular mechanisms and antioxidant activity.
Free Radic Biol Med
January 2025
Department of Oncobiology and Epigenetics, Faculty of Biology and Environmental Protection, University of Lodz, Pomorska 141/143, 90-236 Lodz, Poland; Military Institute of Medicine - National Research Institute, Szaserow 128, 04-141 Warsaw, Poland. Electronic address:
Metallofullerenols and fullerenols have attracted attention due to their remarkable ability to interact with various biologically relevant molecules, paving the way for biomedical applications, ranging from medical imaging techniques to drug carriers, acting with increased efficiency and reduced side effects. In this work, we investigated the effects of two fullerene derivatives, Gd@C(OH) and C(OH), on erythrocyte membrane components under oxidative stress conditions induced by 2,2'-azobis(2-amidinopropane) dihydrochloride (AAPH) as a source of peroxyl radicals. The results demonstrated that gadolinium encapsulation within the fullerene cage enhanced the electron affinity of Gd@C(OH), resulting in stronger antioxidant activity.
View Article and Find Full Text PDFVAE-Surv: A novel approach for genetic-based clustering and prognosis prediction in myelodysplastic syndromes.
Comput Methods Programs Biomed
January 2025
Computational Biomedicine Unit, Department of Medical Sciences, University of Torino, Via Santena 19, 10126, Torino, Italy.
Background And Objectives: Several computational pipelines for biomedical data have been proposed to stratify patients and to predict their prognosis through survival analysis. However, these analyses are usually performed independently, without integrating the information derived from each of them. Clustering of survival data is an underexplored problem, and current approaches are limited for biomedical applications, whose data are usually heterogeneous and multimodal, with poor scalability for high-dimensionality.
View Article and Find Full Text PDFHollow mesoporous silica nanoparticles for drug formulation and delivery: Opportunities for cancer therapy.
Colloids Surf B Biointerfaces
January 2025
Shaanxi Key Laboratory of Catalysis, School of Chemistry and Environment Science, Shaanxi University of Technology, No.1 East 1st Ring Road, Hanzhong, Shaanxi 723001, PR China.
The advantages of large surface area, high volume ratio, good biocompatibility, and controllable surface functionalization make hollow mesoporous silica nanoparticles (HMSNs) an ideal drug carrier. HMSNs can achieve high efficiency, targeting, and controlled release by adjusting the microstructure and surface modification of its particles, which makes it broad application prospects in the field of medical therapy, especially in cancer therapy. Numerous studies have shown that preparation method, shape, particle size, hollow inner diameter, aperture and wall thickness of the HMSNs, the characteristics of the drugs, the interaction between the drugs and the carriers, and the external environment all closely affect the drug delivery, release, and efficacy.
View Article and Find Full Text PDFMusculoskeletal model predictions sensitivity to upper body mass scaling during gait.
Comput Biol Med
January 2025
Khalifa University, Abu Dhabi, United Arab Emirates. Electronic address:
Musculoskeletal modeling based on inverse dynamics provides a cost-effective non-invasive means for calculating intersegmental joint reaction forces and moments, solely relying on kinematic data, easily obtained from smart wearables. On the other hand, the accuracy and precision of such models strongly hinge upon the selected scaling methodology tailored to subject-specific data. This study investigates the impact of upper body mass distribution on internal and external kinetics computed using a comprehensive musculoskeletal model during level walking in both normal weight and obese individuals.
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