Transparency is the foundation of trust in AI/ML algorithms. Users need to know what data the algorithms consider, and what thresholds are used in arriving at the conclusions, so that they can understand the results and reap the benefits AI offers with confidence. This is especially true for applications used in a medical context. MH Predict creates trust by providing customers access to AI/ML algorithms in an easy and intuitive way.
...that draws curated biomedical data from numerous sources to:
...that predicts clinical trial success with high accuracy and has the following benefits:
Clinical trial success prediction
• Prediction comparison to neighboring trials
• Modification of key features to observe effects on trial prediction
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Editorial: Predicting clinical trial success and improving R&D
A banker with an idea (in German)
DIGITALISIERUNG UND GESUNDHEIT
Die Medizin der Zukunft - Wie uns KI vor Krebs und Herzinfarkt schützt (in German)
Molecular Health announced that it has granted an exclusive license to DATEN CAPITAL to apply MH Predict to the financial markets.
Panel with Armin Schneider, Applying Machine Learning to Predict Drug Development Success session.
AI is now also moving into the area of clinical operations with systems that optimize patient recruitment and site selection. MH Predict sits at the clinical stage of the drug development path but extends into the earlier translational space and strategic and business aspects within pharma.
Examples of usage and AI/ML deals in the drug development process include:
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