AIMC Topic: Probability
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iLoF: An intelligent Lab on Fiber Approach for Human Cancer Single-Cell Type Identification.
Scientific reports
Feb 21, 2020
With the advent of personalized medicine, there is a movement to develop "smaller" and "smarter" microdevices that are able to distinguish similar cancer subtypes. Tumor cells display major differences when compared to their natural counterparts, due...
Patient selection for proton therapy: a radiobiological fuzzy Markov model incorporating robust plan analysis.
Physical and engineering sciences in medicine
Feb 10, 2020
While proton therapy can offer increased sparing of healthy tissue compared with X-ray therapy, it can be difficult to predict whether a benefit can be expected for an individual patient. Predictive modelling may aid in this respect. However, the pre...
A Multi-Modal Person Perception Framework for Socially Interactive Mobile Service Robots.
Sensors (Basel, Switzerland)
Jan 28, 2020
In order to meet the increasing demands of mobile service robot applications, a dedicated perception module is an essential requirement for the interaction with users in real-world scenarios. In particular, multi sensor fusion and human re-identifica...
Determining of the optimized dimensions of the Marinelli beaker containing source with inhomogeneous emission rate by using genetic algorithm coupled with MCNP and determining distribution type by neural networks.
Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
Jan 13, 2020
In order to determine the activity of C137s in soil resulting from nuclear accidents or fallouts, the best choice is to use HPGe detectors due to their best energy resolutions. In this regard, in order to enhance the detection efficiency, the Marinel...
Machine learning workflows to estimate class probabilities for precision cancer diagnostics on DNA methylation microarray data.
Nature protocols
Jan 13, 2020
DNA methylation data-based precision cancer diagnostics is emerging as the state of the art for molecular tumor classification. Standards for choosing statistical methods with regard to well-calibrated probability estimates for these typically highly...
Polygenic risk scores outperform machine learning methods in predicting coronary artery disease status.
Genetic epidemiology
Jan 10, 2020
Coronary artery disease (CAD) is the leading global cause of mortality and has substantial heritability with a polygenic architecture. Recent approaches of risk prediction were based on polygenic risk scores (PRS) not taking possible nonlinear effect...
Fuzzy risk prediction of roof fall and rib spalling: based on FFTA-DFCE and risk matrix methods.
Environmental science and pollution research international
Jan 6, 2020
The working conditions of underground mining are complex and variable, and roof fall and rib spalling are one of the main types of accidents that can occur. Building an integrated model to evaluate the risk of roof fall and rib spalling is the founda...
Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks.
Nature medicine
Jan 6, 2020
Intraoperative diagnosis is essential for providing safe and effective care during cancer surgery. The existing workflow for intraoperative diagnosis based on hematoxylin and eosin staining of processed tissue is time, resource and labor intensive. M...
Fast and accurate microRNA search using CNN.
BMC bioinformatics
Dec 27, 2019
BACKGROUND: There are many different types of microRNAs (miRNAs) and elucidating their functions is still under intensive research. A fundamental step in functional annotation of a new miRNA is to classify it into characterized miRNA families, such a...
Machine learning for the detection of early immunological markers as predictors of multi-organ dysfunction.
Scientific data
Dec 19, 2019
The immune response to major trauma has been analysed mainly within post-hospital admission settings where the inflammatory response is already underway and the early drivers of clinical outcome cannot be readily determined. Thus, there is a need to ...
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