A self-driven ESN-DSS approach for effective COVID-19 time series prediction and modelling - CORRIGENDUM. [PDF]
Wang W, Li Q, Wang J.
europepmc +1 more source
Movement Disorders in Aicardi–Goutières Syndrome and Response to Immunomodulation
ABSTRACT This study characterizes movement disorders and treatment responses in seven children with Aicardi–Goutières syndrome (AGS). We retrospectively evaluated motor phenotypes, neuroimaging, and interferon signatures in patients treated with baricitinib or anifrolumab. Spasticity affected all patients, while dystonia was present in 4/7.
Enrique Gonzalez Saez‐Diez +10 more
wiley +1 more source
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +15 more
wiley +1 more source
Research on time series prediction of microclimate in agrivoltaic systems based on the long short-term memory and attention mechanism. [PDF]
Zhang L +11 more
europepmc +1 more source
Optimizing quantum noise-induced reservoir computing for nonlinear and chaotic time series prediction. [PDF]
Fry D +4 more
europepmc +1 more source
MOGAD Is the Most Common Cause of Isolated Optic Neuritis in Children
ABSTRACT Objectives The study aimed to characterize the clinical features, etiologies, and outcomes of isolated, first‐time pediatric ON in the post‐MOG‐IgG era. Methods This was a single‐center retrospective cohort study at Texas Children's Hospital of patients diagnosed with first‐time ON between 2018–2024, with follow‐up data collected through 2025.
Chaitanya Aduru +13 more
wiley +1 more source
HOES: an efficient multi-evolutionary expert system for deep learning model optimization in time series prediction. [PDF]
Wei P +7 more
europepmc +1 more source
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
A multivariate time series prediction model based on the KAN network. [PDF]
Long Y, Qin X.
europepmc +1 more source

