The partners will co-create a novel target identification platform that leverages Aignostics’ technology and proprietary multimodal patient cohorts, and Bayer’s deep expertise in discovering and developing novel oncology therapies. In addition, the collaboration will include the development of computational pathology algorithms powered by AI and machine learning (ML) that connect baseline pathology data, such as molecular tumor profiles, with clinical data, such as patient outcomes, to enable better patient identification, stratification, and selection for clinical trials.
The goal of the multi-year research collaboration is to identify novel cancer targets with a strong disease link through AI models applied to multimodal patient data and to accelerate clinical development of oncology programs. This approach has the potential to address some of the challenges currently experienced in target discovery and disease heterogeneity.
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