IS CARDIOVASCULAR RISK PROFILING FROM UK BIOBANK RETINAL IMAGES USING EXPLICIT DEEP LEARNING ESTIMATES OF TRADITIONAL RISK FACTORS EQUIVALENT TO ACTUAL RISK MEASUREMENTS? A PROSPECTIVE COHORT STUDY DESIGN

Objective Despite extensive exploration of potential biomarkers of cardiovascular diseases (CVDs) derived from retinal images, it remains unclear how retinal images contribute to CVD risk profiling and how the results can inform lifestyle modifications.Therefore, we aimed to determine the performance of cardiovascular risk prediction model from ret

The naive Bayesian classification method has received significant attention in the field of supervised learning.This method has an unrealistic assumption in that it views all attributes as equally important.Attribute weighting is one of the methods used to alleviate this assumption and consequently improve the performance of the naive Bayes classif

Introduction: Metabolomic studies on various colorectal cancer (CRC) cell lines have improved our understanding of the biochemical events underlying the disease.However, the metabolic profile dynamics associated with different stages of CRC progression is still lacking.Such information can provide further insights into the pathophysiology and progr

Stimulating, and some blocking, antibodies to the TSH receptor (TSHR) have conformation-dependent epitopes reported to involve primarily the leucine rich repeat region of the ectodomain (LRD).However, successful crystallization of TSHR residues 22-260 has omitted important extracellular non-LRD residues including the hinge region which connects the

The extraordinary strong magnetic field generated in ultrarelativistic heavy ion collisions makes it possible to investigate many novel effects in the hot QCD 2 Piece Package matter, and a direct probe of it thus becomes an urgent task in the field.Here we report a new way to probe it, where the leptonic invariant mass distribution of Z0 boson will