Multiomics, virtual reality and artificial intelligence in heart failure.

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Title

Multiomics, virtual reality and artificial intelligence in heart failure.

Content partner

The University of Auckland Library

Collection

ResearchSpace@Auckland

Description

Aim: Multiomics delivers more biological insight than targeted investigations. We applied multiomics to patients with heart failure (HF) and reduced ejection fraction (HFrEF), with machine learning applied to advanced ECG (AECG) and echocardiography artificial intelligence (Echo AI). Patients & methods: In total, 46 patients with HFrEF and 20 controls underwent metabolomic profiling, including liquid/gas chromatography-mass spectrometry and solid-phase microextraction volatilomics in plasma a...

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Format

Research paper

Research format

Journal article

Date created

2021-11

Creator

Gladding, Patrick A / Loader, Suzanne / Smith, Kevin / Zarate, Erica / Green, Saras / Villas-Boas, Silas / Shepherd, Phillip / Kakadiya, Purvi / Hewitt, Will / Thorstensen, Eric / Keven, Christine / Coe, Margaret / Nakisa, Bahareh / Vuong, Tan / Rastgoo, Mohammad Naim / Jüllig, Mia / Starc, Vito / Schlegel, Todd T

URL

https://hdl.handle.net/2292/58424

Related subjects

Humans / Ventricular Dysfunction, Left / Stroke Volume / Prognosis / Ventricular Function, Left / Artificial Intelligence / Heart Failure / Virtual Reality / artificial intelligence / metabolomics / multiomics / volatilomics / Science & Technology / Life Sciences & Biomedicine / Cardiac & Cardiovascular Systems / Cardiovascular System & Cardiology / QT INTERVAL VARIABILITY / SOCIAL STRESS TEST / OMICS / ECG / HYPERTROPHY / DYSFUNCTION / SYSTEM / 1102 Cardiorespiratory Medicine and Haematology

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