Development of a Disease Activity Index for the Assessment of VEXAS Syndrome (VEXAS‐DAI)
Objective Vacuoles, E1 enzyme, X‐linked, autoinflammatory, somatic syndrome (VEXAS) syndrome is characterized by a complex spectrum of inflammatory and hematologic manifestations. Clinical research to identify effective therapies is urgently needed but is hindered by the lack of validated outcome measures.
Kevin Byram +25 more
wiley +1 more source
Prostate Cancer Classification Using Quantum Machine Learning on Multi-parametric MRI. [PDF]
Chen P +4 more
europepmc +1 more source
Objective To evaluate whether extending the American College of Rheumatology–recommended monitoring interval for complete blood count and liver function tests in patients receiving methotrexate (MTX) affects timely detection of medication‐related toxicity.
Spencer Simko +4 more
wiley +1 more source
Multimodal AI for pneumonia and lung cancer classification using x-ray and HRCT. [PDF]
Pradip C +5 more
europepmc +1 more source
Objective Systemic lupus erythematosus (SLE) significantly impacts employment capacity. This study aimed to investigate the impact of burden of disease activity, damage, and treatment on employment outcomes and transitions in patients with SLE. Methods Using data from a single center, we analyzed employment transitions, adjusted mean disease activity ...
Javier Mencia‐Ledo +4 more
wiley +1 more source
Using transfer learning approaches to predict RNA-Seq gene expression data for cancer classification. [PDF]
Bangyal WH +4 more
europepmc +1 more source
LGGC-Net: a local-global graph and color attention-based lightweight CNN for skin cancer classification. [PDF]
Sarker MA, Kabir MA, Hossain MS.
europepmc +1 more source
A Multi-Task Ensemble Strategy for Gene Selection and Cancer Classification. [PDF]
Lin S, Lin Z, Zhang J, Leung MF.
europepmc +1 more source
A domain-adaptive deep contrastive network for magnetic resonance imaging-driven bladder cancer classification. [PDF]
Huang J +12 more
europepmc +1 more source
Exploring free radiomics software tools: a multiparametric evaluation for cancer classification. [PDF]
Almeda-Luna E, Luna JM, Ventura S.
europepmc +1 more source

