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Risk Modeling Articles & Analysis
11 articles found
These approaches often include in vitro and in vivo testing, as well as computational modeling. In vitro testing involves studying immune responses in controlled laboratory environments using cell cultures. ...
A total of 1,437 men between 40-75 years of age, with elevated PSA levels, no prior prostate cancer diagnosis, and who were referred for prostate biopsy, were recruited for this clinical study. Algorithmic risk models to predict prostate cancer or clinically significant (grade group ≥2) prostate cancer were generated using data from 1036 men recruited at the ...
The aim of this study was to assess how an established urinary biomarker-based risk score (SelectMDx®) combined with transrectal ultrasonography (TRUS) could be used to exclude low-risk subjects from undergoing the mpMRI procedure. METHODS The analysis was performed on previously published patient cohorts (A, n=529 and B, n=386) using a commercially ...
Abstract—The current study aims to evaluate the performance of the Circadia Sleep Analysis Algorithm, which - in combination with the non-contact and minimally invasive Circadia bedside monitor - allows for long-term sleep assessment and continuous evaluation of sleep therapy outcomes. The Circadia Contactless Respiratory Monitor was initially used to record 17 nights of sleep data from 9 ...
In methylation-positive men, EpiScore was significantly higher for those with high-grade cancer detected upon repeat biopsy, compared to those with either no or low-grade cancer. The risk score resulted in further improvement of patient risk stratification and was a significantly better predictor compared to currently used metrics as PSA and the prostate cancer ...
Furthermore, the findings have several implications for risk managers in the public health sector; we suggest a risk management model for preparing resources against future pandemics of infectious diseases, such as the A-H1N1 influenza. Keywords: time series, co-integration error correction, epidemics, influenza, SARS epidemic, severe acute ...
The potential for hormesis to affect regulatory approaches and several basic processes used in formulating risk assessment parameters, such as study design, interpretation of dose-response information, and extrapolation of toxicity values, is examined. The potential ramifications for human health risk assessment and risk management are ...
The Bovine Spongiform Encephalopathy (BSE) crisis of the last two decades has shown that proper interaction of risk assessment, risk management and risk communication is essential. Mathematical models and risk assessments have been used as a basis for BSE risk management options and much of the ...
Risk is a characteristic of innovative industries. The process of new product development in the biopharmaceutical sector is extremely dynamic and unpredictable, creating both risks and opportunities for the small and medium-sized enterprises. The survival and development of these firms is determined by their capacity to develop flexible, but effective responses ...
This research proposes an empirically derived model of the process through which firms facing high R&D risks and costs, leverage their limited R&D resources, by contracting out upstream (laboratory scale) research at low cost for a portfolio of R&D projects to not-for-profit technology institutions. ...
This paper describes a conceptual design for an integrated hybrid system for risk analysis applications on the International Space Station project. The expert system's knowledge base incorporates heuristics to integrate and interpret the algorithmic results from both simulation (for project risk analysis) and probabilistic risk assessment ...