Impact of Data Harmonization on Machine Learning Models in Drug Development

Elucidata14 Oct, 2024Technology

Inconsistent data formats and fragmented datasets can severely limit the effectiveness of machine learning models. These challenges necessitate data harmonization to produce effectual results. For example, the COVID-19 pandemic revealed the need for harmonized clinical and genomic data to accelerate drug discovery endeavors. AstraZeneca's AI-driven models benefited from harmonized datasets to identify new potential drugs for COVID-19. Similarly, harmonization was pivotal in Pfizer's machine learning models to improve clinical trial outcomes.