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| http://dx.doi.org/10.2106/JBJS.19.01135 | DOI Listing |
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Integrating Model-Informed Drug Development With AI: A Synergistic Approach to Accelerating Pharmaceutical Innovation.
Clin Transl Sci
January 2025
Global Biometrics and Data Management, Pfizer Research and Development, New York, New York, USA.
The pharmaceutical industry constantly strives to improve drug development processes to reduce costs, increase efficiencies, and enhance therapeutic outcomes for patients. Model-Informed Drug Development (MIDD) uses mathematical models to simulate intricate processes involved in drug absorption, distribution, metabolism, and excretion, as well as pharmacokinetics and pharmacodynamics. Artificial intelligence (AI), encompassing techniques such as machine learning, deep learning, and Generative AI, offers powerful tools and algorithms to efficiently identify meaningful patterns, correlations, and drug-target interactions from big data, enabling more accurate predictions and novel hypothesis generation.
View Article and Find Full Text PDFDoes Ankyloglossia Surgery Promote Normal Facial Development? A Systematic Review.
J Clin Med
December 2024
The Department of Dentofacial Orthopaedics and Orthodontic, Wroclaw Medical University, 50-425 Wroclaw, Poland.
Ankyloglossia is a congenital, abnormally short, thickened, or tight lingual frenulum that restricts tongue mobility, which may impair the development of the lower face morphology, namely the occlusion and skeleton. The aim of this study was to evaluate whether and how the lingual frenotomy benefits the occlusion and lower face skeleton development. The authors, independently and in duplication, performed searches of PubMed, Cochrane Library, Medline, Web of Science, and Embase, introducing the following keywords: tongue tie, ankyloglossia, and short lingual frenum/frenulum, combined with malocclusion, lower face skeleton, and hyoid bone.
View Article and Find Full Text PDFIssues and Limitations on the Road to Fair and Inclusive AI Solutions for Biomedical Challenges.
Sensors (Basel)
January 2025
School of Mathematics, Physics and Computing, University of Southern Queensland, Springfield, QLD 4300, Australia.
Objective: In this paper, we explore the correlation between performance reporting and the development of inclusive AI solutions for biomedical problems. Our study examines the critical aspects of bias and noise in the context of medical decision support, aiming to provide actionable solutions. Contributions: A key contribution of our work is the recognition that measurement processes introduce noise and bias arising from human data interpretation and selection.
View Article and Find Full Text PDFCompare Analysis of Codon Usage Bias of Nuclear Genome in Eight Sapindaceae Species.
Int J Mol Sci
December 2024
Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China.
Codon usage bias (CUB) refers to the different frequencies with which various codons are utilized within a genome. Examining CUB is essential for understanding genome structure, function, and evolution. However, little was known about codon usage patterns and the factors influencing the nuclear genomes of eight ecologically significant Sapindaceae species widely utilized for food and medicine.
View Article and Find Full Text PDFEffect of perioperative methylprednisolone administration on postoperative pleural effusion in older patients with non-small cell lung cancer.
BMC Anesthesiol
January 2025
Department of Anesthesiology, The First Medical Centre of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China.
Background: It remains uncertain whether the utilization of methylprednisolone during surgery effectively mitigates the occurrence of adverse outcomes. To examine the association between perioperative methylprednisolone administration and postoperative pleural effusion and pneumonia in older patients with non-small cell lung cancer.
Methods: A retrospective cohort study included non-small cell lung cancer patients aged 65 years or older undergoing thoracic surgery between January 2012 and December 2019 in China.
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