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As humans age, they experience deformity and a decrease in their bone strength, such brittleness in the bones ultimately lead to bone fracture. Magnetic field exposure combined with physical exercise may be useful in mitigating age-related bone loss by improving the canalicular fluid motion within the bone's lacuno-canalicular system (LCS). Nevertheless, an adequate amount of fluid induced shear stress is necessary for the bone mechano-transduction and solute transport in the case of brittle bone diseases.

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Background Artificial Intelligence (AI) is revolutionizing medical science, with significant implications for radiology. Understanding the knowledge, attitudes, perspectives, and practices of medical professionals and residents related to AI's role in radiology is crucial for effective integration. Methods A cross-sectional survey was conducted among members of the Indian Radiology & Imaging Association (IRIA), targeting practicing radiologists and residents across academic and non-academic institutions.

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Interactions of polyelectrolytes (PEs) with proteins play a crucial role in numerous biological processes, such as the internalization of virus particles into host cells. Although docking, machine learning methods, and molecular dynamics (MD) simulations are utilized to estimate binding poses and binding free energies of small-molecule drugs to proteins, quantitative prediction of the binding thermodynamics of PE-based drugs presents a significant obstacle in computer-aided drug design. This is due to the sluggish dynamics of PEs caused by their size and strong charge-charge correlations.

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Human immunodeficiency virus (HIV) and hepatitis C virus (HCV) infections represent critical global health challenges due to the high morbidity and mortality associated with co-infections. HIV, the causative agent of acquired immunodeficiency syndrome (AIDS), infects 4,000 people daily, potentially leading to 1.2 million new cases by 2025, while HCV chronically affects 58 million people, causing cirrhosis and hepatocellular carcinoma.

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Coronary computed tomography angiography (CTA) analysis can help in the planning of percutaneous coronary intervention (PCI). Fractional flow reserve derived from coronary CTA (FFR), coronary CTA-derived regional myocardial mass, and FFR virtual PCI planner can facilitate decisions concerning sheath and guide catheter selection, stent lengths on the basis of predicted post-PCI FFR, optimal fluoroscopic angles, evaluation of provisional vs 2-stent bifurcation PCI techniques, and assessment of the magnitude of jeopardized myocardial mass in cases with side branch compromise. This case series illustrates the emerging opportunities for coronary CTA-based planning of bifurcation PCI.

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