ArticleCommunications biology2020
Machine learning assistive rapid, label-free molecular phenotyping of blood with two-dimensional NMR correlational spectroscopy.
Article in Communications biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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Who cites it
21 citing papers in PubMed, 32 citations in OpenAlex.
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- An Overview of Malaria Transmission Mechanisms, Control, and Modeling.Medical sciences (Basel, Switzerland) · 2022Review
- Novel time-domain NMR-based traits for rapid, label-free Olive oils profiling.NPJ science of food · 2022Article
- Two-dimensional nanostructures based '-onics' and '-omics' in personalized medicine.Nanophotonics (Berlin, Germany) · 2022Review
- Evaluation of the usefulness of non-invasive serum haemoglobin measurement in a perioperative setting in a prospective observational study.Scientific reports · 2022Observational
- Transient Polyhydramnios during Pregnancy Complicated with Gestational Diabetes Mellitus: Case Report and Systematic Review.Diagnostics (Basel, Switzerland) · 2022Article
- A contrastive learning approach for ICU false arrhythmia alarm reduction.Scientific reports · 2022Article
- Review of Microdevices for Hemozoin-Based Malaria Detection.Biosensors · 2022Review
- Panoramic tongue imaging and deep convolutional machine learning model for diabetes diagnosis in humans.Scientific reports · 2022Article
- Novelty detection for metabolic dynamics established on breast cancer tissue using 2D NMR TOCSY spectra.Computational and structural biotechnology journal · 2022Article
- Tracking oxidation-induced alterations in fibrin clot formation by NMR-based methods.Scientific reports · 2021Article
- Automated metabolic assignment: Semi-supervised learning in metabolic analysis employing two dimensional Nuclear Magnetic Resonance (NMR).Computational and structural biotechnology journal · 2021Article
- Machine learning assistive rapid, label-free molecular phenotyping of blood with two-dimensional NMR correlational spectroscopy.Communications biology · 2020Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Translation of the findings in basic science and clinical research into routine practice is hampered by large variations in human phenotype. Developments in genotyping and phenotyping, such as proteomics and lipidomics, are beginning to address these limitations. In this work, we developed a new methodology for rapid, label-free molecular phenotyping of biological fluids (e.g., blood) by exploiting the recent advances in fast and highly efficient multidimensional inverse Laplace decomposition technique. We demonstrated that using two-dimensional T
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.