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Sponsored by Bristol-Myers Squibb

Across therapeutic areas, researchers are investigating ways to better diagnose disease, predict which patients will benefit from which therapies, and feed clinical outcomes back into research for the next therapeutic breakthrough. All of this comes with an abundance of data. The challenge is – how can we best use this data and distill that into a useful biological signal? The answer lies at the intersection of biology, computer science, statistics, and engineering. This talk will explore how the scientific community is using big data to identify predictive biomarkers, how technologies such as next generation sequencing (NGS) are speeding research, and what it means for the future of precision medicine.

Session ID: 36181

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