Biostatistics and Data Modelling
How about finding some hidden knowledge?


Data management is the first gateway in fate of research outcomes and the first step toward capital discoveries in life sciences. The combination of good-old statistics with advanced machine learning algorithms (MLAs) is simply a “jackpot” for development of winning medical strategies.
Standard Statistics
Ordering and management of database, sample size calculation, standard statistical analysis including wide range of non-parametric and parametric tests, regression methods and similar models for meta-analyses.

Machine learning algorithms (MLAs)
Advanced data analyses using machine learning algorithms (MLAs) such as Decision trees, Neural networks, Regression models, Random forest or Naïve Bayes for assessment of the large datasets and identification of critical determinants of the processes and their patterns in full interactivity with high accuracy even in the smaller samples.
Personalized decision-making models
Development of the personalised machine learning predictive models such as decision trees with self-improving properties for everyday clinical-decision making, developed according to the specific needs of the client.

Standard Statistics
Ordering and management of database, sample size calculation, standard statistical analysis including wide range of non-parametric and parametric tests, regression methods and similar models for meta-analyses.