Predicting thyroid cancer recurrence using supervised CatBoost: A SHAP-based explainable AI approach. [PDF]
Hanani AA+3 more
europepmc +1 more source
Validity and Reliability of Clinical and Patient‐Reported Outcomes in Multisystem Proteinopathy 1
ABSTRACT Objective Valosin‐containing protein (VCP)‐associated multisystem proteinopathy 1 (MSP1) is caused by variants in the VCP gene. MSP1 results in various phenotypes including progressive myopathy, Paget's disease of bone, frontotemporal dementia, amyotrophic lateral sclerosis, and parkinsonism, among others.
Lindsay N. Alfano+15 more
wiley +1 more source
Prediction of reproductive and developmental toxicity using an attention and gate augmented graph convolutional network. [PDF]
Lee SH+9 more
europepmc +1 more source
A PANoptosis‐Based Signature for Survival and Immune Predication in Glioblastoma Multiforme
ABSTRACT Objective PANoptosis is a concept of total cell death characterized by pyroptosis, apoptosis, and necroptosis. We aimed to explore the clinical significance of PANoptosis‐related genes (PARGs) in glioblastoma multiforme (GBM). Methods Expression profiles of GBM were downloaded from the XENA database as a training dataset to construct a ...
Jun Yang+4 more
wiley +1 more source
Explainable artificial intelligence for botnet detection in internet of things. [PDF]
Saied M, Guirguis S.
europepmc +1 more source
Histone Deacetylase 6 Brain PET in Amyotrophic Lateral Sclerosis‐Frontotemporal Spectrum Disorder
ABSTRACT Objective [18F]EKZ‐001 is a positron emission tomography (PET) tracer targeting histone deacetylase 6 (HDAC6), an enzyme responsible for intracellular transport and clearance of misfolded proteins. HDAC6 modulation is a promising treatment strategy in neurodegenerative disorders, including amyotrophic lateral sclerosis (ALS).
Greet Vanderlinden+15 more
wiley +1 more source
A novel framework for esophageal cancer grading: combining CT imaging, radiomics, reproducibility, and deep learning insights. [PDF]
Alsallal M+12 more
europepmc +1 more source
Glycosylation Gene Signatures as Prognostic Biomarkers in Glioblastoma
ABSTRACT Objective Glioblastoma (GBM) is an aggressive brain tumor characterized by significant heterogeneity. This study investigates the role of glycosylation‐related genes in GBM subtyping, prognosis, and response to therapy. Methods We analyzed mRNA expression data and clinical information from The Cancer Genome Atlas (TCGA) and Gene Expression ...
Tong Zhao+4 more
wiley +1 more source
An interpretable deep learning framework using FCT-SMOTE and BO-TabNet algorithms for reservoir water sensitivity damage prediction. [PDF]
He YB+6 more
europepmc +1 more source
Myostatin Levels in SMA Following Disease‐Modifying Treatments: A Multi‐Center Study
ABSTRACT Objective This study investigated myostatin levels in SMA patients receiving disease‐modifying therapies (DMTs) to understand their relationship with treatment duration and functional status. Methods Our study includes both cross‐sectional and longitudinal analyses of myostatin levels in treated SMA patients.
Fiorella Piemonte+23 more
wiley +1 more source