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67581
Decoding the FSHR gene: a multi-tool computational approach to SNPs with potential application in PCOS
Published 2025-08-01Get full text
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67583
Association of overactive bladder with red cell distribution width to albumin ratio in American
Published 2025-07-01Get full text
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Spatiotemporal Assessment of Desertification in Wadi Fatimah
Published 2025-06-01Get full text
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Development and validation of an immunoassay for quantification of topoisomerase I in solid tumor tissues.
Published 2012-01-01Get full text
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MoveMentor—examining the effectiveness of a machine learning and app-based digital assistant to increase physical activity in adults: protocol for a randomised controlled trial
Published 2025-07-01“…Intervention participants will gain access to an app-based physical activity digital assistant that can learn and adapt in real-time to achieve high levels of personalisation and user engagement by virtue of applying a range of machine learning techniques (i.e. reinforcement learning, natural language processing and large language models). The digital assistant will interact with participants in 3 main ways: (1) educational conversations about physical activity; (2) just-in-time personalised in-app notifications (‘nudges’), cues to action encouraging physical activity and (3) chat-based questions and answers about physical activity. …”
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Development of Quantitative Structure–Anti-Inflammatory Relationships of Alkaloids
Published 2024-11-01Get full text
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Ball-Flight Viewing Duration and Estimates of Passing Height in Baseball
Published 2025-01-01Get full text
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