predictiveclinicalneuroscience.com valuation and analysis

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Title Predictive Clinical Neuroscience Lab – Dr Andre
Description Home The Predictive Clinical Neuroscience group at the Donders Institute and RadboudUMC aims to use artificial intelligence and big data neuroimaging to change the way people think about psychiatric disorders. We develop statistical and machine learning
Keywords N/A
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WebSite predictiveclinicalneuroscience faviconpredictiveclinicalneuroscience.com
Host IP 192.0.78.25
Location United States
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predictiveclinicalneuroscience.com Valuation
US$1,326,729
Last updated: 2023-05-17 03:16:30

predictiveclinicalneuroscience.com has Semrush global rank of 7,977,744. predictiveclinicalneuroscience.com has an estimated worth of US$ 1,326,729, based on its estimated Ads revenue. predictiveclinicalneuroscience.com receives approximately 153,085 unique visitors each day. Its web server is located in United States, with IP address 192.0.78.25. According to SiteAdvisor, predictiveclinicalneuroscience.com is safe to visit.

Traffic & Worth Estimates
Purchase/Sale Value US$1,326,729
Daily Ads Revenue US$1,225
Monthly Ads Revenue US$36,741
Yearly Ads Revenue US$440,883
Daily Unique Visitors 10,206
Note: All traffic and earnings values are estimates.
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HtmlToTextCheckTime:2023-05-17 03:16:30
Predictive Clinical Neuroscience Lab Dr Andre Marquand Menu Home About Us Publications Code Teaching News Home The Predictive Clinical Neuroscience group at the Donders Institute and RadboudUMC aims to use artificial intelligence and big data neuroimaging to change the way people think about psychiatric disorders. We develop statistical and machine learning techniques to predict and stratify brain disorders and to understand their underlying neurobiological mechanisms on the basis of neuroimaging data. We focus both on supervised techniques for predicting clinical variables as well as unsupervised approaches for stratifying clinical groups on the basis of the underlying biology. Specific methodological techniques of interest include: Bayesian non-parameteric methods for pattern classification and regression Normative modelling approaches for modelling variation in clinical cohorts Spatial statistical methods (e.g. continuous stochastic processes, point processes) Neural network and
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