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Current Biomedicine, 2023 https://doi.org/10.29244/currbiomed.1.2.v ...
Current Biomedicine
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Current Biomedicine, 2023 https://doi.org/10.29244/currbiomed.1.1.v ...
Current Biomedicine
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Current Biomedicine, 2023 https://doi.org/10.29244/currbiomed.1.2.i ...
Current Biomedicine
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Current Biomedicine, 2023 https://doi.org/10.29244/currbiomed.1.1.i ...
Current Biomedicine
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Polylysine complexes and their biomedical applications
Engineered Regeneration, 2023 Poly-L-lysine (PLL) is a water-soluble biopolymer consist of repeating unit of L-lysine. It displays intrinsic non-antigenicity, antibacterial property, biocompatibility, and biodegradability, and facile synthesis procedure, therefore has attracted ...
Haofang Zhu +3 more
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Artificial intelligence in human genomics and biomedicine
TATuP – Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis, 2021 The increasing availability of extensive and complex data has made human genomics and its applications in (bio)medicine an at tractive domain for artificial intelligence (AI) in the form of advanced machine learning (ML) methods.
Reinhard Heil +6 more
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Hydroxyapatite Nanoparticles in Drug Delivery: Physicochemistry and Applications
Pharmaceutics, 2021 Hydroxyapatite (HAP) has been the gold standard in the biomedical field due to its composition and similarity to human bone. Properties such as shape, size, morphology, and ionic substitution can be tailored through the use of different synthesis ...
Sofía Lara-Ochoa +2 more
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Chitosan as an Underrated Polymer in Modern Tissue Engineering
Nanomaterials, 2021 Chitosan is one of the most well-known and characterized materials applied in tissue engineering. Due to its unique chemical, biological and physical properties chitosan is frequently used as the main component in a variety of biomaterials such as ...
Marta Kołodziejska +3 more
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An update on statistical boosting in biomedicine [PDF]
, 2017 Statistical boosting algorithms have triggered a lot of research during the last decade. They combine a powerful machine-learning approach with classical statistical modelling, offering various practical advantages like automated variable selection and ...
Gefeller, Olaf +5 more
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