Search Results - "translational science"

Molecular Neuroimaging of the Dopamine Transporter as a Patient Enrichment Biomarker for Clinical Trials for Early Parkinson's Disease by Klaus Romero, Daniela Conrado, Jackson Burton, Timothy Nicholas, Vikram Sinha, Sreeraj Macha, Malidi Ahamadi, Jesse Cedarbaum, John Seibyl, Kenneth Marek, Peter Basseches, Derek Hill, Ed Somer, Jill Gallagher, David T. Dexter, Arthur Roach, Diane Stephenson, for the Critical Path for Parkinson's (CPP), the Parkinson's Progression Markers Initiative (PPMI)

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A Physiologically‐Based Pharmacokinetic Model for Targeting Calcitriol‐Conjugated Quantum Dots to Inflammatory Breast Cancer Cells by James Forder, Mallory Smith, Margot Wagner, Rachel J. Schaefer, Jonathon Gorky, Kenneth L. vanGolen, Anja Nohe, Prasad Dhurjati

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Semimechanistic Modeling to Guide Venetoclax Coadministration with Ritonavir and Digoxin by Ali A. Alhadab, Ahmed Hamed Salem, Kevin J. Freise

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Fourth Generation Evaluation as a path for Knowledge Translation in mental health by Fabiane Machado Pavani, Ananda Ughini Bertoldo Pires, Christine Wetzel, Agnes Olschowsky, Maria de Lourdes Custódio Duarte

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Omics techniques and biobanks to find new biomarkers for the early detection of acute lymphoblastic leukemia in middle-income countries: a perspective from Mexico by William Alejandro Aguirre-Guillén, Tania Angeles-Floriano, Briceida López-Martínez, Hortensia Reyes-Morales, Albert Zlotnik, Ricardo Valle-Rios

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Simvastatin Induces Delayed Apoptosis Through Disruption of Glycolysis and Mitochondrial Impairment in Neuroblastoma Cells by Crystal L. Kuzyk, Colin C. Anderson, James R. Roede

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Fundamentals of Cancer Immunology and Their Application to Cancer Vaccines by Timothy N. J. Bullock

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Tutorial: Microbiome studies in drug metabolism by Dylan Dodd, Isaac Cann

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Physiologically based absorption modeling to predict the bioequivalence of two apixaban formulations by Ting Luo, Lu Wang, Zourong Ruan, Honggang Lou, Dandan Yang, Zhiyang Wang, Pengfei Zhao, Bo Jiang

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Evaluating the bioequivalence of two pitavastatin calcium formulations based on IVIVC modeling and clinical study by Jiaying Wang, Jinliang Chen, Lu Wang, Dandan Yang, Rong Shao, Honggang Lou, Zourong Ruan, Bo Jiang

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Epigenetic Changes Associated With Anthracycline‐Induced Cardiotoxicity by Marwa Tantawy, Frances G. Pamittan, Sonal Singh, Yan Gong

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Advancing the utilization of real‐world data and real‐world evidence in clinical pharmacology and translational research-Proceedings from the ASCPT 2023 preconference workshop by Jing Liu, Karen Rowland‐Yeo, Almut Winterstein, Simon Dagenais, Qi Liu, Jeffrey S. Barrett, Rui Zhu, Cyrus Ghobadi, Amita Datta‐Mannan, Joy Hsu, Sujatha Menon, Mariam Ahmed, Pooja Manchandani, Paulien Ravenstijn

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Vitamin D and inflammatory diseases by Yin K, Agrawal DK

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Analysis of Global Drug Development Pathways and Postmarketing Safety in Japan: Local Studies May Reduce Drug‐Related Deaths by Tomoko Kawamura Okubo, Shunsuke Ono

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Quantitative Systems Pharmacology Model of Chimeric Antigen Receptor T‐Cell Therapy by Deni Hardiansyah, Chee Meng Ng

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Characterizing the reproducibility in using a liver microphysiological system for assaying drug toxicity, metabolism, and accumulation by Andrés Rubiano, Amruta Indapurkar, Ryosuke Yokosawa, Alina Miedzik, Barry Rosenzweig, Ayesha Arefin, Chloe M. Moulin, Keri Dame, Neil Hartman, Donna A. Volpe, Murali K. Matta, David J. Hughes, David G. Strauss, Tomasz Kostrzewski, Alexandre J. S. Ribeiro

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Evaluation of the performance of a prior tacrolimus population pharmacokinetic kidney transplant model among adult allogeneic hematopoietic stem cell transplant patients by Jing Zhu, Olivia Campagne, Chad D. Torrice, Gabrielle Flynn, Jordan A. Miller, Tejendra Patel, Oscar Suzuki, Jonathan R. Ptachcinski, Paul M. Armistead, Tim Wiltshire, Donald E. Mager, Daniel L. Weiner, Daniel J. Crona

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Artificial Intelligence and Machine Learning in Health Care and Medical Sciences Best Practices and Pitfalls /

Table of Contents: “…Predictive Analytics -- Machine Learning -- Artificial Intelligence -- Data Mining -- Clinical Risk Models -- Clinical Risk Stratification -- Data Science -- Causal Discovery -- Causal Inference -- Causal Discovery in Health Sciences -- Causal Inference In Health Sciences -- Ehr Data Analytics -- Medical Knowledge Discovery -- Biomedical Machine Learning -- Biomedical Artificial Intelligence -- Healthcare Machine Learning -- Healthcare Artificial Intelligence -- Translational Science Machine Learning -- Machine Learning for Biological Discovery -- Machine Learning in Bioinformatics -- Machine Learning in Genomics.…”
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Endometriosis Research From Bench to Bedside

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Prediction of Nephropathy in Type 2 Diabetes: An Analysis of the ACCORD Trial Applying Machine Learning Techniques by Violeta Rodriguez‐Romero, Richard F. Bergstrom, Brian S. Decker, Gezim Lahu, Majid Vakilynejad, Robert R. Bies

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