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Advanced Analytics:
Artificial Intelligence & Machine Learning

R-S-S utilises advanced AI & ML technologies to enhance clinical research processes, resulting in improved accuracy, efficiency, and outcomes.

Generating Systematic Literature Reviews (SLR's): 

 

R-S-S have invested significantly in helping to create new AI based technology that can facilitate more efficient SLR generation. Our ongoing work with collaborating partners aims to set a new standard in AI based software that can extract from national data sources and organize data ready for executing Indirect treatment comparisons (ITCs), Matched adjusted indirect comparisons (MAIC) as well as evidence synthesis for HTA submissions

Using AI Models to predict  chances of submission success

 

R-S-S have developed ML models that can be used to predict the chance of successful FDA/EMA approval as well as reimbursement based on historical models. Talk to us further on where your drug development program fits in amongst others and if the data can be used in our model

R-S-S AI & ML Solutions

AI & ML Solutions in Data Mining & Pattern Recognition

  • Interrogating multi-dimensional data to understand hidden data structures

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  • Improved understanding of safety data: Signal and patterns detection

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