Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data

J Yan, SL Risacher, L Shen… - Briefings in bioinformatics, 2018 - academic.oup.com
In the past decade, significant progress has been made in complex disease research across
multiple omics layers from genome, transcriptome and proteome to metabolome. There is an …

Artificial intelligence for precision medicine in neurodevelopmental disorders

M Uddin, Y Wang, M Woodbury-Smith - NPJ digital medicine, 2019 - nature.com
The ambition of precision medicine is to design and optimize the pathway for diagnosis,
therapeutic intervention, and prognosis by using large multidimensional biological datasets …

An application of Random Forests to a genome-wide association dataset: methodological considerations & new findings

BA Goldstein, AE Hubbard, A Cutler, LF Barcellos - BMC genetics, 2010 - Springer
Background As computational power improves, the application of more advanced machine
learning techniques to the analysis of large genome-wide association (GWA) datasets …

Artificial intelligence for clinical decision support in neurology

M Pedersen, K Verspoor, M Jenkinson… - Brain …, 2020 - academic.oup.com
Artificial intelligence is one of the most exciting methodological shifts in our era. It holds the
potential to transform healthcare as we know it, to a system where humans and machines …

Second-generation digital health platforms: placing the patient at the center and focusing on clinical outcomes

Y Ilan - Frontiers in Digital Health, 2020 - frontiersin.org
Artificial intelligence (AI) digital health systems have drawn much attention over the last
decade. However, their implementation into medical practice occurs at a much slower pace …

Nutrigenomics research for personalized nutrition and medicine

J Kaput - Current opinion in biotechnology, 2008 - Elsevier
Current nutritional and genetic epidemiological methods yield 'risk factors' on the basis of
population studies. Risk factors, however, are statistical estimates of the percentage …

SNPs and somatic mutation on long non-coding RNA: new frontier in the cancer studies?

L Minotti, C Agnoletto, F Baldassari, F Corrà, S Volinia - High-throughput, 2018 - mdpi.com
In the last decade, it has been demonstrated that long non-coding RNAs (lncRNAs) are
involved in cancer development. The great majority of studies on lncRNAs report alterations …

The success of pharmacogenomics in moving genetic association studies from bench to bedside: study design and implementation of precision medicine in the post …

MD Ritchie - Human genetics, 2012 - Springer
Pharmacogenomics is emerging as a popular type of study for human genetics in recent
years. This is primarily due to the many success stories and high potential for translation to …

Comparison of approaches for machine‐learning optimization of neural networks for detecting gene‐gene interactions in genetic epidemiology

AA Motsinger‐Reif, SM Dudek… - … Official Publication of …, 2008 - Wiley Online Library
The detection of genotypes that predict common, complex disease is a challenge for human
geneticists. The phenomenon of epistasis, or gene‐gene interactions, is particularly …

Drug transporter and metabolizing enzyme gene variants and nonnucleoside reverse-transcriptase inhibitor hepatotoxicity

MD Ritchie, DW Haas, AA Motsinger… - Clinical Infectious …, 2006 - academic.oup.com
This nested case-control study examined relationships between MDR1, CYP2B6, and
CYP3A4 variants and hepatotoxicity during antiretroviral therapy with either efavirenz-or …