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Nature Biomedical Engineering Contents October 2018

Nature Biomedical Engineering

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Table of Contents: October 2018

Editorial

Editorial | 10 October 2018

Towards trustable machine learning

Nature Biomedical Engineering 2, doi:10.1038/s41551-018-0315-x

News & Views

News & Views | 10 October 2018

Virtual heart guides cardiac ablation

Michael S. Sacks

Nature Biomedical Engineering 2, doi:10.1038/s41551-018-0303-1

News & Views | 10 October 2018

Detecting colorectal polyps via machine learning

Yuichi Mori & Shin-ei Kudo

Nature Biomedical Engineering 2, doi:10.1038/s41551-018-0308-9

News & Views | 10 October 2018

Clear oxygen-level forecasts during anaesthesia

Thomas Neumuth & Stefan Franke

Nature Biomedical Engineering 2, doi:10.1038/s41551-018-0313-z

News & Views | 10 October 2018

Predicting a tumour's drug uptake

Lauri Louhivuori, Shigeaki Kanatani & Per Uhlén

Nature Biomedical Engineering 2, doi:10.1038/s41551-018-0311-1

Reviews

Review Article | 10 October 2018

Artificial intelligence in healthcare

Kun-Hsing Yu, Andrew L. Beam & Isaac S. Kohane

Nature Biomedical Engineering 2, doi:10.1038/s41551-018-0305-z

Research

Article | 03 September 2018

Personalized virtual-heart technology for guiding the ablation of infarct-related ventricular tachycardia

Adityo Prakosa, Hermenegild J. Arevalo, Dongdong Deng, Patrick M. Boyle, Plamen P. Nikolov et al.

Nature Biomedical Engineering 2, doi:10.1038/s41551-018-0282-2

Article | 10 October 2018

Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy

Pu Wang, Xiao Xiao, Jeremy R. Glissen Brown, Tyler M. Berzin, Mengtian Tu et al.

Nature Biomedical Engineering 2, doi:10.1038/s41551-018-0301-3

Article | 10 October 2018

Explainable machine-learning predictions for the prevention of hypoxaemia during surgery

Scott M. Lundberg, Bala Nair, Monica S. Vavilala, Mayumi Horibe, Michael J. Eisses et al.

Nature Biomedical Engineering 2, doi:10.1038/s41551-018-0304-0

Article | 17 September 2018

Live-cell phenotypic-biomarker microfluidic assay for the risk stratification of cancer patients via machine learning

Michael S. Manak, Jonathan S. Varsanik, Brad J. Hogan, Matt J. Whitfield, Wendell R. Su et al.

Nature Biomedical Engineering 2, doi:10.1038/s41551-018-0285-z

Article | 10 October 2018

Computational fluid dynamics with imaging of cleared tissue and of in vivo perfusion predicts drug uptake and treatment responses in tumours

Angela d'Esposito, Paul W. Sweeney, Morium Ali, Magdy Saleh, Rajiv Ramasawmy et al.

Nature Biomedical Engineering 2, doi:10.1038/s41551-018-0306-y

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