Purpose: The solid lipid nanoparticles of transitional metal complexes (POMs) were prepared with natural lipids with the aim of developing a safer therapeutic approach for cancer treatment.
Methods: Natural lipids were used to create solid lipid nanoparticles containing transitional metal complexes (POMs).
Results: The nanoparticles had displayed appreciable entrapment and loading percentage of PW.
CNS lymphoma is a rare form of non-Hodgkin lymphoma that primarily affects the brain, spinal cord, leptomeninges, or eyes, leading to severe neurological or ophthalmological complications. This case report details a 44-year-old male with human immunodeficiency virus and diffuse large B-cell lymphoma who experienced permanent vision loss due to optic perineuritis, a rare presenting symptom indicative of underlying CNS involvement. Despite previous remission, imaging revealed focal enhancements suggesting CNS lymphoma, highlighting diagnostic and management challenges in relapsed lymphoma, especially in immunocompromised patients.
View Article and Find Full Text PDFGenerative Artificial Intelligence (Gen AI) has transformative potential in healthcare to enhance patient care, personalize treatment options, train healthcare professionals, and advance medical research. This paper examines various clinical and non-clinical applications of Gen AI. In clinical settings, Gen AI supports the creation of customized treatment plans, generation of synthetic data, analysis of medical images, nursing workflow management, risk prediction, pandemic preparedness, and population health management.
View Article and Find Full Text PDFIntroduction The role of the condylar position in the correct functioning of the stomatognathic system has been the center of the study. Using cone-beam computed tomography (CBCT), this study looked at the three-dimensional (3D) position of the condylar bone in patients from Class I, Class II, Division 1, and Division 2. Materials and methods This cross-sectional, retrospective study was conducted using 102 CBCT records, with 34 records allocated to each category of malocclusion classification, such as dentoskeletal Class I, skeletal Class II, and dental Class II, Division 1 and 2.
View Article and Find Full Text PDFThis paper proposes a hybrid stochastic-robust optimization framework for sizing a photovoltaic/tidal/fuel cell (PV/TDL/FC) system to meet an annual educational building demand based on hydrogen storage via unscented transformation (UT), and information gap decision theory-based risk-averse strategy (IGDT-RA). The hybrid framework integrates the strengths of UT for scenario generation and IGDT-RA (hybrid UT-IGDT-RA) for optimizing the system robustness and maximum uncertainty radius (MRU) of building energy demand and renewable resource generation. The deterministic model focuses on minimizing the cost of energy production over the project's lifespan (CEPLS) and considers a reliability constraint defined as the demand shortage probability (DSHP).
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