Results 171 to 180 of about 2,423,181 (299)

Deep neural network-based coupling model of inter-organizational knowledge flow and agent collaborative decision-making. [PDF]

Sci Rep
Li M, Yu W, Li Y.
europepmc   +1 more source

Neuropsychiatric Symptoms Mimicking Dementia in a Patient Treated With Imatinib

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Tyrosine kinase inhibitors are the cornerstone of chronic myeloid leukemia treatment. Newer agents have more potency and a broader spectrum of action, but also a higher potential for neuropsychiatric side effects. We present a case of a patient on imatinib who developed progressive cognitive, mood, and behavioral alterations.
Ashley Jones, Samuele Bonomi, Keith E. Stockerl‐Goldstein, Randall J. Bateman   +3 more
wiley   +1 more source

Applying an Ethical Lens to the Treatment of People With Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The practice of neurology requires an understanding of clinical ethics for decision‐making. In multiple sclerosis (MS) care, there are a wide range of ethical considerations that may arise. These involve shared decision‐making around selection of a disease‐modifying therapy (DMT), risks and benefits of well‐studied medications in comparison to
Methma Udawatta, Farrah J. Mateen
wiley   +1 more source

Multi-Task Cascade Forest Framework for Predicting Acute Toxicity across Species. [PDF]

Research (Wash D C)
Liu K, Li R, Wu L, Yang J, Han J, He S, Bo X, Gao J.   +7 more
europepmc   +1 more source

Characterization of Clinical Phenotype to Glial Fibrillary Acidic Protein Concentrations in Alexander Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine the concentration of glial fibrillary acidic protein (GFAP) in cerebrospinal fluid (CSF) and plasma in Alexander disease (AxD) and whether GFAP levels are predictive of disease phenotypes. Methods CSF and plasma were collected (longitudinally when available) from AxD participants and non‐AxD controls.
Amy T. Waldman, Asako Takanohashi, Joshua Y. Joung, Geraldine W. Liu, Kaley Arnold, Amy Pizzino, Walter Faig, Sarah Woidill, Sona Narula, Adeline L. Vanderver   +9 more
wiley   +1 more source

Building contextually-relevant training programs for scientific development: process and lessons learned in implementing two iterations of a faculty enrichment program in applied malaria modeling. [PDF]

Malar J
Onyango L, Ouédraogo-Ametchie G, Stahlfeld A, Holden TM, Richter R, Runge M, Toh KB, Agorinya I, Mensah B, Gerardin J.   +9 more
europepmc   +1 more source

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu, Yinjiao Fei, Jiaxuan Ding, Kexin Shi, Jinyan Luo, Yuchen Zhu, Xingjian Sun, Gefei Jiang, Yuandong Cao, Weilin Xu, Shu Zhou   +10 more
wiley   +1 more source

Assessment and Benchmarking of Model Informed Approaches in Drug Development for Hemoglobinopathies: A Review of Scientific Advices From January 2000 to December 2024. [PDF]

CPT Pharmacometrics Syst Pharmacol
Govere GS, Dogné JM, Musuamba F.
europepmc   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

Protocol for development of an AI-driven individualized frailty prediction and intervention framework for elderly patients with chronic kidney disease: causal feature learning and knowledge-distillation-based modeling study. [PDF]

BMC Geriatr
Chang J, Hu J, Cao Y, Jia X, Wang L, Liu B, Xu S, Ji Q, Jin M, Han Q, Liang Y, Sun Q.   +11 more
europepmc   +1 more source