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Machine Learning Computational Advancements for peRsonalized mEdicine

CORDIS · observation · Publication date unknown

Machine Learning Computational Advancements for peRsonalized mEdicine Personalized medicine represents a paradigm shift in healthcare, transitioning from generalized treatment strategies to highly personalized care. This transformation is driven by rapid advancements in digital technologies, which generate massive volumes of data from diverse sources, including genomic sequences, high-resolution imaging, wearable devices, and electronic health records (EHRs). However, despite an annual estimate of 50 petabytes of data generated per hospital, only a fraction is utilized effectively. Harnessing this untapped potential offers a transformative opportunity to uncover novel disease mechanisms and deliver more precise and effective therapeutic interventions. The MLCARE project seeks to revolutionize personalized medicine by developing cutting-edge AI solutions that integrate genomic, clinical,

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recordType

award

status

SIGNED

region

EU

value

3922230.96

unit

EUR