AIMC Topic: Workflow
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Identification of cardiovascular high-risk groups from dynamic retinal vessel signals using untargeted machine learning.
Cardiovascular research
Jan 29, 2022
AIMS: Dynamic retinal vessel analysis (DVA) provides a non-invasive way to assess microvascular function in patients and potentially to improve predictions of individual cardiovascular (CV) risk. The aim of our study was to use untargeted machine lea...
Kidney Failure, Chronic
Cause of Death
Signal Processing, Computer-Assisted
Workflow
Treatment Outcome
Cluster Analysis
Predictive Value of Tests
Photic Stimulation
Retinal Vessels
Arterioles
Venules
Light
Vasodilation
Heart Disease Risk Factors
Female
Aged
Male
Risk Assessment
Renal Dialysis
Cardiovascular Diseases
Middle Aged
Humans
Machine Learning
Whole-Slide Imaging: Updates and Applications in Papillary Thyroid Carcinoma.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2022
Whole-slide imaging (WSI) has wide spectrum of application in histopathology, especially in the study of cancer including papillary thyroid carcinoma. The main applications of WSI system include research, teaching, and assessment and recently patholo...
Interpretable deep learning prediction of 3d assessment of cardiac function.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2022
As deep learning plays an increasing role in making medical decisions, explainability is playing an increasing role in satisfying regulatory requirements and facilitating trust and transparency in deep learning approaches. In cardiac imaging, the tas...
Artificial Intelligence and Positron Emission Tomography Imaging Workflow:: Technologists' Perspective.
PET clinics
Jan 1, 2022
Artificial intelligence (AI) can enhance the efficiency of medical imaging quality control and clinical documentation, provide clinical decision support, and increase image acquisition and processing quality. A clear understanding of the basic tenets...
[Not Available].
CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne
Nov 8, 2021
AniAMPpred: artificial intelligence guided discovery of novel antimicrobial peptides in animal kingdom.
Briefings in bioinformatics
Nov 5, 2021
With advancements in genomics, there has been substantial reduction in the cost and time of genome sequencing and has resulted in lot of data in genome databases. Antimicrobial host defense proteins provide protection against invading microbes. But c...
Machine-learning scoring functions trained on complexes dissimilar to the test set already outperform classical counterparts on a blind benchmark.
Briefings in bioinformatics
Nov 5, 2021
The superior performance of machine-learning scoring functions for docking has caused a series of debates on whether it is due to learning knowledge from training data that are similar in some sense to the test data. With a systematically revised met...
The accurate prediction and characterization of cancerlectin by a combined machine learning and GO analysis.
Briefings in bioinformatics
Nov 5, 2021
Cancerlectins, lectins linked to tumor progression, have become the focus of cancer therapy research for their carbohydrate-binding specificity. However, the specific characterization for cancerlectins involved in tumor progression is still unclear. ...
NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning.
Briefings in bioinformatics
Nov 5, 2021
Neuropeptides (NPs) are the most versatile neurotransmitters in the immune systems that regulate various central anxious hormones. An efficient and effective bioinformatics tool for rapid and accurate large-scale identification of NPs is critical in ...
Preface: Artificial Intelligence in Radiology: Opportunities and Challenges.
Radiologic clinics of North America
Nov 1, 2021
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