This study aimed to evaluate the prognostic value of ELN2017 in predicting survival outcomes and to assess the impact of clinical and molecular factors such as age, FLT3 and NPM1 mutations, and allogeneic hematopoietic stem cell transplantation (allo‐HSCT).
Mobina Shrestha +4 more
wiley +1 more source
Quantitative Susceptibility Mapping with Source Separation in Normal Brain Development of Newborns. [PDF]
Jang M +11 more
europepmc +1 more source
Blind Source Separation Based on Double-Mutant Butterfly Optimization Algorithm. [PDF]
Xia Q +5 more
europepmc +1 more source
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source
Quantifying spectral information about source separation in multisource odour plumes. [PDF]
Tootoonian S +4 more
europepmc +1 more source
The diamagnetic component map from quantitative susceptibility mapping (QSM) source separation reveals pathological alteration in Alzheimer's disease-driven neurodegeneration. [PDF]
Ahmed M +6 more
europepmc +1 more source
ABSTRACT Objective Status epilepticus (SE) is associated with significant mortality. Sleep architecture may reflect normal brain function. Impaired sleep architecture is associated with poorer outcomes in numerous conditions. Here we investigate the association of sleep architecture in continuous EEG (cEEG) with survival in SE.
Ran R. Liu +5 more
wiley +1 more source
Flow parsing as causal source separation allows fast and parallel object and self-motion estimation. [PDF]
Scherff M, Lappe M.
europepmc +1 more source
Shared Genetic Effects and Antagonistic Pleiotropy Between Multiple Sclerosis and Common Cancers
ABSTRACT Objective Epidemiologic studies have reported inconsistent altered cancer risk in individuals with multiple sclerosis (MS). Factors such as immune dysregulation, comorbidities, and disease‐modifying therapies may contribute to this variability.
Asli Buyukkurt +5 more
wiley +1 more source
Blind source separation and unmanned aerial vehicle classification using CNN with hybrid cross-channel and spatial attention module. [PDF]
Ni J, Zhou Z.
europepmc +1 more source

