A multistep, polymer-assisted solution phase strategy for the highly automated (auto-PASP) synthesis of 2-alkylthiobenzimidazole and N,N'-dialkylbenzimidazolin-2-one libraries is presented. The approach incorporates in-line purification techniques to afford library products directly with high purities and is exemplified by the preparation of a 96-member 2-alkylthiobenzimidazoline library 1[1-12,1-8] and a 72-member N,N'-dialkylbenzimidazolin-2-one library 9[1-12,1-6].
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http://dx.doi.org/10.1021/cc049832+ | DOI Listing |
Alzheimers Dement
December 2024
University of Minnesota Duluth, Duluth, MN, USA.
Background: In this study humanoid robots were programmed to deliver mindfulness-based stress relief therapy to individuals with dementia. Precisely programmed, these robots aim to enhance well-being, providing tailored interventions for relaxation, mood enhancement, and heightened cognition in dementia care, showcasing technology's promise in improving overall quality of life [1, 2, 3, 4].
Methods: In this study, the humanoid robot was programmed with a carefully AI based design protocol incorporating calming activities, guided breathing exercises, and interactive engagement, tailored to the cognitive abilities and preferences of individuals with dementia, to effectively deliver mindfulness-based stress relief therapy.
Alzheimers Dement
December 2024
University of Minnesota Duluth, Duluth, MN, USA.
Background: In this study humanoid robots were programmed to deliver mindfulness-based stress relief therapy to individuals with dementia. Precisely programmed, these robots aim to enhance well-being, providing tailored interventions for relaxation, mood enhancement, and heightened cognition in dementia care, showcasing technology's promise in improving overall quality of life [1, 2, 3, 4].
Methods: In this study, the humanoid robot was programmed with a carefully AI based design protocol incorporating calming activities, guided breathing exercises, and interactive engagement, tailored to the cognitive abilities and preferences of individuals with dementia, to effectively deliver mindfulness-based stress relief therapy.
Eur Radiol
January 2025
Department of Radiology, University of Groningen, University Medical Center of Groningen, Groningen, The Netherlands.
Objective: To evaluate the repeatability of AI-based automatic measurement of vertebral and cardiovascular markers on low-dose chest CT.
Methods: We included participants of the population-based Imaging in Lifelines (ImaLife) study with low-dose chest CT at baseline and 3-4 month follow-up. An AI system (AI-Rad Companion chest CT prototype) performed automatic segmentation and quantification of vertebral height and density, aortic diameters, heart volume (cardiac chambers plus pericardial fat), and coronary artery calcium volume (CACV).
Artif Intell Med
January 2025
Koç University, Department of Physics, Electrical and Electronics Engineering, Istanbul, Turkiye. Electronic address:
Deep neural networks have significantly advanced medical image classification across various modalities and tasks. However, manually designing these networks is often time-consuming and suboptimal. Neural Architecture Search (NAS) automates this process, potentially finding more efficient and effective models.
View Article and Find Full Text PDFQuant Plant Biol
December 2024
Quantitative Biology Center (QBiC), University of Tübingen, Tübingen, Germany.
Hormonal mechanisms associated with cell elongation play a vital role in the development and growth of plants. Here, we report Nextflow-root (nf-root), a novel best-practice pipeline for deep-learning-based analysis of fluorescence microscopy images of plant root tissue from A. thaliana.
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