Causal machine learning for healthcare and precision medicine

P Sanchez, JP Voisey, T Xia… - Royal Society …, 2022 - royalsocietypublishing.org
Causal machine learning (CML) has experienced increasing popularity in healthcare.
Beyond the inherent capabilities of adding domain knowledge into learning systems, CML …

Mild cognitive impairment

S Gauthier, B Reisberg, M Zaudig, RC Petersen… - The lancet, 2006 - thelancet.com
Mild cognitive impairment is a syndrome defined as cognitive decline greater than expected
for an individual's age and education level but that does not interfere notably with activities …

[HTML][HTML] Convolutional neural networks-based MRI image analysis for the Alzheimer's disease prediction from mild cognitive impairment

W Lin, T Tong, Q Gao, D Guo, X Du, Y Yang… - Frontiers in …, 2018 - frontiersin.org
Mild cognitive impairment (MCI) is the prodromal stage of Alzheimer's disease (AD).
Identifying MCI subjects who are at high risk of converting to AD is crucial for effective …

Charting brain growth and aging at high spatial precision

S Rutherford, C Fraza, R Dinga, SM Kia, T Wolfers… - elife, 2022 - elifesciences.org
Defining reference models for population variation, and the ability to study individual
deviations is essential for understanding inter-individual variability and its relation to the …

Automatic classification of patients with Alzheimer's disease from structural MRI: a comparison of ten methods using the ADNI database

R Cuingnet, E Gerardin, J Tessieras, G Auzias… - neuroimage, 2011 - Elsevier
Recently, several high dimensional classification methods have been proposed to
automatically discriminate between patients with Alzheimer's disease (AD) or mild cognitive …

The cortical signature of Alzheimer's disease: regionally specific cortical thinning relates to symptom severity in very mild to mild AD dementia and is detectable in …

BC Dickerson, A Bakkour, DH Salat, E Feczko… - Cerebral …, 2009 - academic.oup.com
Alzheimer's disease (AD) is associated with neurodegeneration in vulnerable limbic and
heteromodal regions of the cerebral cortex, detectable in vivo using magnetic resonance …

Considering the role of semantic memory in episodic future thinking: evidence from semantic dementia

M Irish, DR Addis, JR Hodges, O Piguet - Brain, 2012 - academic.oup.com
Semantic dementia is a progressive neurodegenerative condition characterized by the
profound and amodal loss of semantic memory in the context of relatively preserved …

Ways toward an early diagnosis in Alzheimer's disease: the Alzheimer's Disease Neuroimaging Initiative (ADNI)

SG Mueller, MW Weiner, LJ Thal, RC Petersen… - Alzheimer's & …, 2005 - Elsevier
With the increasing life expectancy in developed countries, the incidence of Alzheimer's
disease (AD) and thus its socioeconomic impact are growing. Increasing knowledge over …

Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification

C Davatzikos, P Bhatt, LM Shaw, KN Batmanghelich… - Neurobiology of …, 2011 - Elsevier
Magnetic resonance imaging (MRI) patterns were examined together with cerebrospinal
fluid (CSF) biomarkers in serial scans of Alzheimer's Disease Neuroimaging Initiative (ADNI) …

DTI measures in crossing-fibre areas: increased diffusion anisotropy reveals early white matter alteration in MCI and mild Alzheimer's disease

G Douaud, S Jbabdi, TEJ Behrens, RA Menke, A Gass… - Neuroimage, 2011 - Elsevier
Though mild cognitive impairment is an intermediate clinical state between healthy aging
and Alzheimer's disease (AD), there are very few whole-brain voxel-wise diffusion MRI …