Repurposing historical data and existing real-world data to build effective models able to predict clinical outcomes...
Balancing the predictive performance of an algorithm by feeding it more data with the concerns for data privacy is an important issue...
If handled and analyzed correctly, RWD holds tremendous potential to improve different aspects of the drug development life cycle...
Multimodal learning is the integration and modelling of multiple data modalities, mitigating limitations arising from using a single data source...
Personalised medicine or precision medicine makes use of an individual’s clinical, genetic, genomic, and environmental information for patient management...
Clinical research requires numerous types of information to be integrated and managed. This come with several computational challenges...
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