AIMC Topic: Biomedical Research

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Biomarker discovery studies for patient stratification using machine learning analysis of omics data: a scoping review.

BMJ open Dec 6, 2021
OBJECTIVE: To review biomarker discovery studies using omics data for patient stratification which led to clinically validated FDA-cleared tests or laboratory developed tests, in order to identify common characteristics and derive recommendations for...
Research Design Biomarkers Biomedical Research Humans Machine Learning
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Detecting fabrication in large-scale molecular omics data.

PloS one Nov 30, 2021
Fraud is a pervasive problem and can occur as fabrication, falsification, plagiarism, or theft. The scientific community is not exempt from this universal problem and several studies have recently been caught manipulating or fabricating data. Current...
Fraud Biomedical Research Scientific Misconduct Humans Big Data Machine Learning
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Research Progress of Gliomas in Machine Learning.

Cells Nov 15, 2021
In the field of gliomas research, the broad availability of genetic and image information originated by computer technologies and the booming of biomedical publications has led to the advent of the big-data era. Machine learning methods were applied ...
Biomedical Research Animals Glioma Algorithms Surveys and Questionnaires Humans Biomarkers, Tumor Machine Learning
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Deep learning-based facial image analysis in medical research: a systematic review protocol.

BMJ open Nov 11, 2021
INTRODUCTION: Deep learning techniques are gaining momentum in medical research. Evidence shows that deep learning has advantages over humans in image identification and classification, such as facial image analysis in detecting people's medical cond...
Biomedical Research Deep Learning Systematic Reviews as Topic Research Design Delivery of Health Care Humans
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Artificial Intelligence Applications in Urology: Reporting Standards to Achieve Fluency for Urologists.

The Urologic clinics of North America Oct 23, 2021
The growth and adoption of artificial intelligence has led to impressive results in urology. As artificial intelligence grows more ubiquitous, it is important to establish artificial intelligence literacy in the workforce. To this end, we present a n...
Research Design Prognosis Biomedical Research Humans Artificial Intelligence Vesico-Ureteral Reflux Hydronephrosis Urologists Urologic Neoplasms Kidney Calculi
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An updated, computable MEDication-Indication resource for biomedical research.

Scientific reports Sep 23, 2021
The MEDication-Indication (MEDI) knowledgebase has been utilized in research with electronic health records (EHRs) since its publication in 2013. To account for new drugs and terminology updates, we rebuilt MEDI to overhaul the knowledgebase for mode...
Knowledge Bases Drug Prescriptions Electronic Health Records Humans Biomedical Research Natural Language Processing
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Causality in digital medicine.

Nature communications Sep 15, 2021
Ben Glocker (an expert in machine learning for medical imaging, Imperial College London), Mirco Musolesi (a data science and digital health expert, University College London), Jonathan Richens (an expert in diagnostic machine learning models, Babylon...
Machine Learning Clinical Medicine Biomedical Research Computational Biology Humans Causality
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Automatically disambiguating medical acronyms with ontology-aware deep learning.

Nature communications Sep 7, 2021
Modern machine learning (ML) technologies have great promise for automating diverse clinical and research workflows; however, training them requires extensive hand-labelled datasets. Disambiguating abbreviations is important for automated clinical no...
Biomedical Research Deep Learning Datasets as Topic Terminology as Topic Data Mining Humans
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Can co-authorship networks be used to predict author research impact? A machine-learning based analysis within the field of degenerative cervical myelopathy research.

PloS one Sep 2, 2021
INTRODUCTION: Degenerative Cervical Myelopathy (DCM) is a common and disabling condition, with a relatively modest research capacity. In order to accelerate knowledge discovery, the AO Spine RECODE-DCM project has recently established the top priorit...
North America Biomedical Research Medical Laboratory Personnel Bibliometrics Neck Neural Networks, Computer Research Personnel Humans Machine Learning Authorship International Cooperation Neurodegenerative Diseases Retrospective Studies Spinal Cord Diseases Japan
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Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved.

Journal of clinical epidemiology Jun 29, 2021
OBJECTIVE: Evaluate the completeness of reporting of prognostic prediction models developed using machine learning methods in the field of oncology.
Research Design Prognosis Models, Statistical Medical Oncology Biomedical Research Humans Machine Learning Guidelines as Topic
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