What if you could see disease coming years before symptoms appear?  

Chronos makes that vision a reality. Built on 100 million plasma samples from six million US donors, this platform combines real-world clinical data with high-resolution proteomics to chart molecular changes across time and populations. 

In this webinar, hosted by DDW and supported by Standard BioTools, Benoit Lehallier, PhD, Senior Director of Data Science at Alkahest, will share how SomaScan™ technology, alongside complementary proteomic platforms, uncovers signals that predict disease risk long before diagnosis. We’ll dive into Parkinson’s disease research, where biomarkers were detected up to 12 years pre-symptomatically, and explore how these insights accelerate biomarker discovery and therapeutic development. 

You’ll learn: 

• Why trajectory-based profiling is the next frontier in precision medicine. 

• How large-scale proteomics enables early detection and disease interception. 

• Practical applications for cross-disease research and population-level insights. 

Join us to discover how Chronos – and the advanced proteomic capabilities of the SomaScan Assay – are transforming the way we fight disease.

Register for free and watch the webinar on-demand now!

About the speaker:

Benoit Lehallier is Head of Data Science at Alkahest Inc., leveraging advanced proteomics to uncover disease mechanisms, identify drug targets, and discover early biomarkers. Previously, he was a faculty member in Stanford’s Neurology department, leading research on molecular changes in ageing. With over 15 years of experience integrating complex molecular signals in systems biology, he has worked on numerous cross-sectional and longitudinal cohorts. Benoit is Principal Investigator of Chronos, a groundbreaking program mapping ageing and disease over time. With 100 million proteomic samples from six million individuals, Chronos aims to intercept disease early and accelerate preventive medicine.