Location‐Specific Hematoma Volume Predicts Early Neurological Deterioration in Supratentorial ICH
ABSTRACT Objective Early neurological deterioration (END) adversely affects outcomes in patients with intracerebral hemorrhage (ICH). This study aimed to determine the location‐specific hematoma volumes for END in supratentorial ICH patients. Methods We retrospectively analyzed supratentorial ICH patients presenting from two prospective cohorts.
Zuoqiao Li +10 more
wiley +1 more source
Global expert profiles, research hotspots, and journal networks in pediatric surgery: an AI-assisted bibliometric analysis. [PDF]
Zhang R +5 more
europepmc +1 more source
ABSTRACT Objective To explore how cerebral hypoxia and Normal‐Appearing White Matter (NAWM) integrity affect MS lesion burden and clinical course. Methods Seventy‐nine MS patients, including 13 clinically isolated syndrome (CIS) patients and 66 relapsing–remitting multiple sclerosis (RRMS) patients, and 44 healthy controls (HCs) were recruited from ...
Xinli Wang +8 more
wiley +1 more source
Integrating machine learning techniques for critical node identification in complex networks. [PDF]
ReddyPriya M +4 more
europepmc +1 more source
ABSTRACT Objective Onasemnogene abeparvovec (OA) is an AAV9‐based gene therapy for spinal muscular atrophy type I (SMA I). Real‐world outcomes show increased response variability compared to clinical trials, and follow‐up data beyond 12–18 months are limited.
Marika Pane +43 more
wiley +1 more source
Retraction Note: Knowledge graph driven medicine recommendation system using graph neural networks on longitudinal medical records. [PDF]
Mishra R, Shridevi S.
europepmc +1 more source
Application and Research Progress of BCI in Post-Stroke Psychiatric Disorders: A Narrative Review. [PDF]
Hu Z, Wang J, Zhou K, Ma S, Hu J.
europepmc +1 more source
Sparse identification of nonlinear dynamics and Koopman operators with Shallow Recurrent Decoder Networks. [PDF]
Gao ML, Williams JP, Kutz JN.
europepmc +1 more source
STGNET: extending panel coverage in imaging-based spatial transcriptomics using deep generative adversarial networks. [PDF]
Wang T +10 more
europepmc +1 more source
Training thermodynamic computers by gradient descent. [PDF]
Whitelam S.
europepmc +1 more source

