Results 141 to 150 of about 88,253 (286)

Photochemical Deracemization of Chromanes and its Application to the Synthesis of Enantiopure Bioactive Compounds

open access: yesAngewandte Chemie, EarlyView.
Various substituted chromane‐2‐carboxamides were successfully deracemized by employing a chiral benzophenone (BP, 10 mol%) as photocatalyst and an achiral thiol as additive (20 mol%). The method was applied to the concise enantioselective synthesis of five active pharmaceutical ingredients.
Biki Ghosh   +5 more
wiley   +2 more sources

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan   +3 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci   +4 more
wiley   +1 more source

RPSLearner: A Novel Approach Based on Random Projection and Deep Stacking Learning for Categorizing Non‐Small Cell Lung Cancer

open access: yesAdvanced Intelligent Systems, EarlyView.
Identifying non‐small cell lung cancer (NSCLC) subtypes is essential for precision cancer treatment. Conventional methods are laborious, or time‐consuming. To address these concerns, RPSLearner is proposed, which combines random projection and stacking ensemble learning for accurate NSCLC subtyping. RPSLearner outperforms state‐of‐the‐art approaches in
Xinchao Wu, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Temporal glomerular gene expression dynamics during disease progression in a mouse model of hypertension‐accelerated diabetic kidney disease

open access: yesAnimal Models and Experimental Medicine, EarlyView.
The current study characterized temporal changes in glomerular gene expression, pathology, and biomarkers in a mouse model of hypertension‐accelerated diabetic kidney disease (DKD). Progressive albuminuria and glomerulosclerosis were paralleled by dynamic transcriptomic changes associated withmetabolic dysfunction, extracellular matrix remodeling, and ...
Adam B. Marstrand‐Jørgensen   +8 more
wiley   +1 more source

Skeletal Muscle Biomarkers of Amyotrophic Lateral Sclerosis: A Large‐Scale, Multi‐Cohort Proteomic Study

open access: yesAnnals of Neurology, EarlyView.
Objective Biomarkers with clear contexts of use are important tools for amyotrophic lateral sclerosis (ALS) therapy development. Understanding their longitudinal trajectory in the untreated state is key to their use as potential markers of pharmacodynamic response.
Oleksandr Dergai   +16 more
wiley   +1 more source

Anatomical Progression of Neuropathology in FTLD‐TDP Type C and Linkage to Annexin A11

open access: yesAnnals of Neurology, EarlyView.
Objective Frontotemporal lobar degenerations (FTLD)‐TDP type C (TDP‐C) is distinguished from other FTLD‐TDP subtypes by 3 unique features: (1) invariable onset in the anterior temporal lobe (ATL), (2) phosphorylated TDP‐43 (pTDP) neurites in cortex, and (3) colocalization of all pTDP deposits with annexin A11 (ANXA11).
Allegra Kawles   +7 more
wiley   +1 more source

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