We introduce a framework for feature selection based on dependence maximization
between the selected features and the labels of an estimation problem, using the Hilbert-Schmidt …

Objective To identify plasma biomarkers for the diagnosis of Alzheimer disease (AD). Design
Baseline plasma screening of 151 multiplexed analytes combined with targeted biomarker …

We introduce a framework for filtering features that employs the Hilbert-Schmidt Independence
Criterion (HSIC) as a measure of dependence between the features and the labels. The …

PBT2 is a copper/zinc ionophore that rapidly restores cognition in mouse models of Alzheimer’s
disease (AD). A recent Phase IIa double-blind, randomized, placebo-controlled trial …

For constrained end devices in Internet of Things, such as smart meters (SMs), data transmission
is an energy-consuming operation. To address this problem, we propose an efficient …

In microorganisms, evolutionarily conserved mechanisms facilitate adaptation to harsh
conditions through stress-induced mutagenesis (SIM). Analogous processes may underpin …

Dementia is a global epidemic with Alzheimer’s disease (AD) being the leading cause. Early
identification of patients at risk of developing AD is now becoming an international priority. …

In mouse embryonic cells, ligand-activated retinoic acid receptors (RARs) play a key role in
inhibiting pluripotency-maintaining genes and activating some major actors of cell …

Background When analysing microarray and other small sample size biological datasets,
care is needed to avoid various biases. We analyse a form of bias, stratification bias, that can …

Alzheimer's disease (AD) is the most common age-related dementia. Unfortunately due to a
lack of validated biomarkers definitive diagnosis relies on the histological demonstration of …