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In 2015, around 4400 individuals received a diagnosis of lung cancer, and Switzerland recorded approximately 3200 deaths related to lung cancer. Advances in detection, such as lung cancer screening and improved treatments, have led to increased identification of early-stage lung cancer and higher chances of long-term survival. This progress has introduced new considerations in imaging, emphasising non-invasive diagnosis and characterisation techniques like radiomics.

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Physical activity-the past, present and potential future: a state-of-the-art review.

Health Promot Int

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Saw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, Singapore, 117549,Singapore.

This is a state-of-the-art review of historical developments, current approaches and recommended future directions in physical activity (PA) research, practice and policy. Since the early epidemiological studies in the 1950s, PA research has developed from within a biomedical paradigm. There is now a strong evidence base linking PA with positive health outcomes.

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Polymeric Nano-discs: A Versatile Nanocarrier Platform for Delivering Topical Theranostics.

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Department of Pharmaceutical Technology, Shree S. K. Patel College of Pharmaceutical Education and Research, Ganpat University, Kherva, Gujarat 384012, India.

Polymeric nano-discs offer a promising and adaptable nanocarrier platform for topical applications involving the targeted administration of drugs. These biocompatible polymer-based, disc-shaped, nanoscale structures have drawn interest due to their exceptional capacity to encapsulate a diverse range of theranostics. Theranostics, the concept of combining treatments and diagnostics into a single system, is the core of attraction.

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The SiO electrode interface is passivated with a SiO layer, which hinders the deposition of an inorganic solid electrolyte interphase (SEI) due to its high surface work function and low exchange current density of electrolyte decomposition. Consequently, a thermally vulnerable, organic-based SEI formed on the SiO electrode, leading to poor cycling performance at elevated temperatures. To address this issue, the SEI formation process is thermoelectrochemically activated.

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Sepsis remains a leading cause of morbidity and mortality worldwide due to its rapid progression and heterogeneous nature. This review explores the potential of Artificial Intelligence (AI) to transform sepsis management, from early detection to personalized treatment and real-time monitoring. AI, particularly through machine learning (ML) techniques such as random forest models and deep learning algorithms, has shown promise in analyzing electronic health record (EHR) data to identify patterns that enable early sepsis detection.

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