Artificial intelligence and automation: unbeatable together
Why Artifical Intelligence? With a state-of-the-art life sciences software, companies can collect and manage any kind of clinical data. Yet, how can they use the data in a meaningful way? Machine Learning (ML) algorithms are like data detectives that help search through the mountains of clinical data and make them useful. This is how life sciences benefit from the power of AI: smarter data analysis and prediction of how clinical data are evolving for new trials leading to a smarter trial management and a greater degree of efficiency.
Smarter support in analysis of all kinds of clinical data
The suitable “brain” does the job, when it comes to risk based monitoring
Unusual clinical data – any abnormal data behavior is quickly uncovered.
Next Best Actions, the best communication channel, the appropriate point in time to reach out to your study managers, CRO or study centers. – AI knows the Where, the Why, and the How.
Study centers and patient dropouts, regions and defects… “Brains” can detect relevant correlations.
What is artificial intelligence (AI)?
With artificial intelligence (AI), developers try to simulate “intelligent” behavior with computers. The term “machine learning” (ML) refers to a collection of algorithms that make predictions based on experience in the form of data. Neural networks are one type of algorithm that uses biological neural networks as a model.
"With BSI Brains, our customers can benefit from the power of AI without our support and without data scientists, and they can use neural networks that were previously available exclusively to data giants for their own purposes."
ML expert at BSI
More intelligence in cclinical trial management! With BSI Brains we democratize. The AI solution allows life science software managers to use artifical intelligence easily and efficiently for their clinical trials. Seamless integration with your software, our automation platform opens up a whole new world of proactive, real-time, on-demand predictions.
With BSI Brains, users can design self-learning AI workflows and configure neural networks. Brains are easy to assemble via flexible drag-and-drop and can implement, for example patient recruitment prognoses, site performance and future defects.
- Modular-design AI: Users can easily click the Brains together by using the mouse. Then, they can incorporate the completed, trained Brains directly into customer journeys in BSI Studio.
- Road-tested AI: BSI Brains ushers machine learning into day-to-day clinical trial management and analysis. To accomplish this, BSI supports the development of specific use cases for their customers using existing clinical data.
- Quick benefits from AI: In addition to end-to-end machine learning, BSI depends on transfer learning in combination with traditional data science. This allows companies to get started quickly and without a major training effort.
- Integrated AI: The data from BSI CTMS is incorporated into the Brains thanks to seamless integration.