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Nanotechnology and nanobots unleashed: pioneering a new era in gynecological cancer management - a comprehensive review.
Cancer Chemother Pharmacol
January 2025
Department of Obstetrics and Gynecology, All India Institute of Medical Sciences, Bibinagar, Hyderabad, Telangana, 508126, India.
Introduction: Gynecological cancers, such as ovarian, cervical, and endometrial malignancies, are notoriously challenging due to their intricate biology and the critical need for precise diagnostic and therapeutic approaches. In recent years, groundbreaking advances in nanotechnology and nanobots have emerged as game-changers in this arena, offering the promise of a new paradigm in cancer management. This comprehensive review delves into the revolutionary potential of these technologies, showcasing their ability to transform the landscape of gynecological oncology.
View Article and Find Full Text PDFAdvances and Challenges in Speciation Measurement and Microkinetic Modeling for Gas-Solid Heterogeneous Catalysis.
J Phys Chem A
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School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, P. R. China.
Microkinetic modeling of heterogeneous catalysis serves as an efficient tool bridging atom-scale first-principles calculations and macroscale industrial reactor simulations. Fundamental understanding of the microkinetic mechanism relies on a combination of experimental and theoretical studies. This Perspective presents an overview of the latest progress of experimental and microkinetic modeling approaches applied to gas-solid catalytic kinetics.
View Article and Find Full Text PDFAI Methods for Antimicrobial Peptides: Progress and Challenges.
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Machine Biology Group, Department of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Antimicrobial peptides (AMPs) are promising candidates to combat multidrug-resistant pathogens. However, the high cost of extensive wet-lab screening has made AI methods for identifying and designing AMPs increasingly important, with machine learning (ML) techniques playing a crucial role. AI approaches have recently revolutionised this field by accelerating the discovery of new peptides with anti-infective activity, particularly in preclinical mouse models.
View Article and Find Full Text PDFGeneration Victoria (GenV): protocol for a longitudinal birth cohort of Victorian children and their parents.
BMC Public Health
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Murdoch Children's Research Institute, 50 Flemington Road, Parkville, VIC, 3052, Australia.
Background: In a world confronted with new and connected challenges, novel strategies are needed to help children and adults achieve their full potential, to predict, prevent and treat disease, and to achieve equity in services and outcomes. Australia's Generation Victoria (GenV) cohorts are designed for multi-pronged discovery (what could improve outcomes?) and intervention research (what actually works, how much and for whom?). Here, we describe the key features of its protocol.
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