Predictive Analytics

May 2020

AI-Enhanced Machine Learning Predictions for All Clinical Research Metrics

By |2024-05-10T17:02:08+02:00May 27, 2020|AI in Clinical Trials, Neat Features, News|Comments Off on AI-Enhanced Machine Learning Predictions for All Clinical Research Metrics

MyRBQM® Portal's new Machine Learning predictive analytics model is far less sensitive to noise, it better generalizes data, and provides narrower CIs in long time series. Singular Spectrum Analysis is particularly valuable for long time series, as mostly observed in clinical trials.

Feb 2020

Indication Focused RBQM for Rare Disease Drug Development

By |2020-02-28T08:30:17+02:00February 28, 2020|Blog|Comments Off on Indication Focused RBQM for Rare Disease Drug Development

Adaptive and intelligent Risk Based Quality Management (RBQM) is a powerful strategy for rare disease research. One of the main benefits is that RBQM allows for patient-centric trial design that is uniquely tailored to the specific rare disease.

Jul 2019

A Clinical Research Must-Have: Next Generation Predictive Analytics

By |2024-05-07T16:47:52+02:00July 8, 2019|Blog|Comments Off on A Clinical Research Must-Have: Next Generation Predictive Analytics

Predictive Analytics is seen as the next generation methodology: “growing across most therapy areas in the coming years”. Pharma companies and CROs that embrace next generation analytics will position themselves for immeasurable competitive edge in the industry. 

Oct 2018

Data Integration – A Valid Concern or a Convenient Excuse?

By |2020-09-23T10:10:46+02:00October 11, 2018|Blog|Comments Off on Data Integration – A Valid Concern or a Convenient Excuse?

Conference season has started! Our first stop was the Global RBM Summit 2018 in London. Our CSO Dr Johann Proeve was invited to join the conversation as a speaker on the topic “Pragmatic Centralized Monitoring – How to get there?”. Johann shares his observations with us.

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