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Cultural Effects on the Performance of Older Haitian Immigrants on Timed Cognitive Tests.
Med Res Arch
November 2024
Department of Electrical Engineering and Computer Science, Florida Atlantic University, 777 Glades Road, EE 428 & 526, Boca Raton, FL, 33431.
Background: Ignoring the cultural factors that can affect performance on cognitive tests may result in use of tests that have not been validated for that group. One example is testing of Haitian Creole speaking adults who are increasingly affected by Alzheimer's disease and related dementias, for whom few tests have been validated.
Aims: Our purpose is to describe differences in timed test performance between Haitian Creole and English-speaking participants and explore factors that may account for any differences in results found.
Predicting Paediatric Brain Disorders from MRI Images Using Advanced Deep Learning Techniques.
Neuroinformatics
January 2025
Department of CSE, Chandigarh Group of Colleges, Landran, Mohali, India.
The problem at hand is the significant global health challenge posed by children's diseases, where timely and accurate diagnosis is crucial for effective treatment and management. Conventional diagnosis techniques are typical, use tedious processes and generate inaccurate results since they are executed by human beings and cause delays in treatment that can be fatal. Considering these and other shortcomings there exists a need to have more efficient and accurate solutions based on artificial intelligence.
View Article and Find Full Text PDFOne size does not fit all: revising traditional paradigms for assessing accuracy of QSAR models used for virtual screening.
J Cheminform
January 2025
National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, 9800 Medical Center Drive, Rockville, MD, 20850, USA.
Traditional best practices for quantitative structure activity relationship (QSAR) modeling recommend dataset balancing and balanced accuracy (BA) as the key desired objective of model development. This study explores the value of the conventional norms in the context of using QSAR models for virtual screening of modern large and ultra-large chemical libraries. For this increasingly common task, we now recommend the use of models with the highest positive predictive value (PPV) built on imbalanced training sets as preferred virtual screening tools.
View Article and Find Full Text PDFTracking and Failure Analysis of Explanted Neuromodulation Devices.
Neuromodulation
January 2025
Department of Anesthesia and Perioperative Care, Division of Pain Medicine, University of California, San Francisco, CA, USA. Electronic address:
Small Molecular Oligopeptides Adorned with Tryptophan Residues as Potent Antitumor Agents: Design, Synthesis, Bioactivity Assay, Computational Prediction, and Experimental Validation.
J Chem Inf Model
January 2025
Key Laboratory for Photonic and Electronic Bandgap Materials, Ministry of Education, College of Chemistry and Chemical Engineering, Harbin Normal University, Harbin 150025, China.
Tryptophan participates in important life activities and is involved in various metabolic processes. The indole and aromatic binuclear ring structure in tryptophan can engage in diverse interactions, including π-π, π-alkyl, hydrogen bonding, cation-π, and CH-π interactions with other side chains and protein targets. These interactions offer extensive opportunities for drug development.
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