Artificial Intelligence and Big Data in Healthcare

More groundbreaking publications nominated by our editors

Enjoy free access until October 31^st 2018. Open access articles are freely available online on a permanent basis.

Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent

An integrative network-based approach to identify novel disease genes and pathways: a case study in the context of inflammatory bowel disease

Artificial intelligence in radiology

Automated analysis of free speech predicts psychosis onset in high-risk youths

Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence

Clinically applicable deep learning for diagnosis and referral in retinal disease

Computer-aided detection in chest radiography based on artificial intelligence: a survey

Functional relevance for central cornea thickness-associated genetic variants by using integrative analyses

Genetic variants and pathways implicated in a pediatric inflammatory bowel disease cohort

H7N9 virulent mutants detected in chickens in China pose an increased threat to humans

Healthcare and Big Data Management
(read the first chapter from the book for free)

Identification of disease-distinct complex biomarker patterns by means of unsupervised machine-learning using an interactive R toolbox (Umatrix)

Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype

Integrative omics for health and disease

Investigating beta-adrenergic-induced cardiac hypertrophy through computational approach: classical and non-classical pathways

Laboratory and home comparison of wrist-activity monitors and polysomnography in middle-aged adults

Machine-learning approach identifies a pattern of gene expression in peripheral blood that can accurately detect ischaemic stroke

Metabolomics enables precision medicine: “A White Paper, Community Perspective”

Network-based machine learning and graph theory algorithms for precision oncology

Patient healthcare trajectory. An essential monitoring tool: a systematic review

Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care

Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning

Single-cell multi-omics sequencing of human early embryos

The activity and discussion points of #Circumcision through Twitter; a microblogging platform

The newest cathinone derivatives as designer drugs: an analytical and toxicological review

The State of Data in Healthcare: Path Towards Standardization

Tumor-infiltrating B cells: their role and application in anti-tumor immunity in lung cancer