Results 101 to 110 of about 4,208,808 (305)
High‐risk bladder cancer is typically treated with Bacillus Calmette‐Guérin (BCG), but 30–40% of patients relapse. No FDA‐ or CE‐approved biomarkers currently predict or prognosticate BCG failure. We systematically reviewed the literature and identified 72 eligible studies, revealing several promising biomarkers associated with BCG treatment response ...
Rui Ribeiro‐Pereira +7 more
wiley +1 more source
An investigation of machine learning based prediction systems [PDF]
Traditionally, researchers have used either o f-the-shelf models such as COCOMO, or developed local models using statistical techniques such as stepwise regression, to obtain software eff ort estimates. More recently, attention has turned to a variety of
Mair, Carolyn +6 more
core
Improving the Accuracy of Industrial Robots by offline Compensation of Joints Errors [PDF]
The use of industrial robots in many fields of industry like prototyping, pre-machining and end milling is limited because of their poor accuracy. Robot joints are mainly responsible for this poor accuracy.
BEAREE, Richard +14 more
core +1 more source
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
A comprehensive comparison of comparative RNA structure prediction approaches [PDF]
Gardner PP, Giegerich R. A comprehensive comparison of comparative RNA structure prediction approaches. BMC Bioinformatics. 2004;5(1): 140.Background: An increasing number of researchers have released novel RNA structure analysis and prediction ...
Giegerich, R. +7 more
core +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Predicting Diagnostic Accuracy [PDF]
To the Editor: The report by Nendaz et al.1 on diagnostic accuracy highlighted the importance of previous exposure to similar cases and generating hypotheses early in the encounter. However, I was surprised the authors did not reference the descriptive article by Kassirer and Gorry2 in which similar conclusions were reached.
openaire +1 more source
Scope 3 emissions: Data quality and machine learning prediction accuracy
Investors’ sophistication on climate risk is increasing and as part of this they require high-quality and comprehensive Scope 3 emissions data. Accordingly, we investigate Scope 3 emissions data divergence (across different providers), composition (which
Kitto, Adam +5 more
core +1 more source
Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley +1 more source
Modeling Uncertainty: Predictive Accuracy as a Proxy for Predictive Confidence [PDF]
This paper evaluates current strategies for the empirical modeling of forecast behavior. In particular, we focus on the reliability of using proxies from time series models of heteroskedasticity to describe changes in predictive confidence. We address this issue by examining the relationship between ex post forecast errors and ex ante measures of ...
Robert W. Rich, Joseph Tracy
openaire +3 more sources

