Results 101 to 110 of about 4,208,808 (305)

Predictive and prognostic biomarkers of Bacillus Calmette‐Guérin therapy failure in bladder cancer patients: A systematic review

open access: yesMolecular Oncology, EarlyView.
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]

open access: yes, 2000
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]

open access: yes, 2012
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

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

open access: yesFEBS Open Bio, EarlyView.
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]

open access: yes, 2004
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

open access: yesFEBS Open Bio, EarlyView.
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]

open access: yesJournal of General Internal Medicine, 2007
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

open access: yes, 2023
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

open access: yesFEBS Open Bio, EarlyView.
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]

open access: yes, 2003
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

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