Advancing data-driven medicine: unlocking the potential of multimodal health data sets

The potential of combining genomics with other health data modalities is massive. However, this influx of information presents a unique set of challenges that we are only beginning to tackle.

Over the past decade, we have witnessed a healthcare revolution catalyzed by next-generation sequencing. This shift has transformed our approach from a single-biomarker-driven analysis to a multi-biomarker-driven one. However, despite advancements in analytics, it is evident that healthcare providers often have no choice but to examine test results in isolation, making it challenging to uncover trends that emerge only when various data types are comprehensively visualized and analyzed.

Despite the immense potential of data integration, artificial intelligence (AI), and machine learning (ML), we are just scratching the surface of their capabilities. In this webinar, Dr. Menu will illustrate how SOPHiA GENETICS can propel data-driven medicine forward by leveraging the power of multimodal analytics. He will also delve into the significance of multimodality throughout the healthcare journey, using the ongoing multicentric clinical study, DEEP-Lung-IV (NCT04994795), focused on stage IV non-small cell lung cancer (NSCLC), as a practical exemplar.

Key takeaways:
o Unlocking the potential of individualized data-driven medicine requires a transition from a statistical practice of medicine to a genuinely personalized one.
o Achieving this transformation necessitates breaking down data silos across different instruments and institutions.
o Building a global collective intelligence is vital for accelerating the widespread adoption of multimodal data analytics.

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