Results 81 to 90 of about 3,168,462 (418)

Strategies to Reduce Radiation Exposure in Electrophysiology and Interventional Cardiology

open access: yesUS Cardiology Review, 2020
Clinical diagnosis sometimes involves the use of medical instruments that employ ionizing radiation. However, ionizing radiation exposure is a workplace hazard that goes undetected and is detrimental to patients and staff in the catheterization ...
Sandeep Shankar   +3 more
doaj   +1 more source

Scalable kernel balancing weights in a nationwide observational study of hospital profit status and heart attack outcomes [PDF]

open access: yesarXiv, 2023
Weighting is a general and often-used method for statistical adjustment. Weighting has two objectives: first, to balance covariate distributions, and second, to ensure that the weights have minimal dispersion and thus produce a more stable estimator.
arxiv  

The CRL7FBXW8 Complex Controls the Mammary Stem Cell Compartment through Regulation of NUMB Levels

open access: yesAdvanced Science, EarlyView.
In breast cancer (BC), NUMB loss of function (LOF) is common and mainly driven by protein hyper‐degradation. The CRL7FBXW8 complex is the E3 ligase responsible for NUMB degradation. Inhibition of CRL7FBXW8 in NUMB‐LOF BC cells restores NUMB levels, and decreases the number of cancer stem cells and tumorigenic ability in vivo. Targeting CRL7FBXW8 offers
Simone Sabbioni   +16 more
wiley   +1 more source

Internet-based training of coronary artery patients: the Heart Cycle Trial [PDF]

open access: yes, 2016
© 2016, Springer Japan. Low adherence to cardiac rehabilitation (CR) might be improved by remote monitoring systems that can be used to motivate and supervise patients and tailor CR safely and effectively to their needs.
Bjarnason-Wehrens, Birna   +12 more
core   +3 more sources

Fusing Continuous-valued Medical Labels using a Bayesian Model [PDF]

open access: yes, 2015
With the rapid increase in volume of time series medical data available through wearable devices, there is a need to employ automated algorithms to label data. Examples of labels include interventions, changes in activity (e.g. sleep) and changes in physiology (e.g. arrhythmias).
arxiv   +1 more source

Enhancer Profiling Reveals a Protective Role of RXRα Against Calcium Oxalate‐Induced Crystal Deposition and Kidney Injury

open access: yesAdvanced Science, EarlyView.
Comprehensive epigenomic and transcriptomic profiling revealed a dynamic enhancer landscape and gene expression program associated with nephrolithiasis, highlighting RXRα as a central transcription factor in this regulatory network. Tubular‐specific deletion of RXRα increased intrarenal CaOx crystal deposition, while its activation with Bexarotene ...
Yu Yang   +12 more
wiley   +1 more source

ESVM Guideline on peripheral arterial disease [PDF]

open access: yes, 2019
International ...
  +38 more
core   +4 more sources

Identification of 27 abnormalities from multi-lead ECG signals: An ensembled Se-ResNet framework with Sign Loss function [PDF]

open access: yesarXiv, 2020
Cardiovascular disease is a major threat to health and one of the primary causes of death globally. The 12-lead ECG is a cheap and commonly accessible tool to identify cardiac abnormalities. Early and accurate diagnosis will allow early treatment and intervention to prevent severe complications of cardiovascular disease.
arxiv  

Software Reuse in Cardiology Related Medical Database Using K-Means Clustering Technique [PDF]

open access: yesJournal of Software Engineering and Applications, 2012, 5, 682-686, 2013
Software technology based on reuse is identified as a process of designing software for the reuse purpose. The software reuse is a process in which the existing software is used to build new software. A metric is a quantitative indicator of an attribute of an item or thing.
arxiv   +1 more source

Integrative Multi‐Omics and Routine Blood Analysis Using Deep Learning: Cost‐Effective Early Prediction of Chronic Disease Risks

open access: yesAdvanced Science, EarlyView.
Omicsformer, a deep learning model, integrates multi‐omics and routine blood data to accurately predict risks for nine chronic diseases, including cancer and cardiovascular conditions. Validated using large scale clinical data, it reveals early risk trajectories, advancing personalized medicine and offering a cost‐effective, community‐based solution ...
Zhibin Dong   +20 more
wiley   +1 more source

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