Webinar: Large-scale proteomics enables early detection and disease interception
What if you could see diseases like Parkinson’s coming years before symptoms appear?
In this webinar, hosted by DDW and supported by Standard BioTools, Benoit Lehallier, PhD, Senior Director, Data Science at Alkahest will share how SomaScan Technology, alongside complementary proteomic platforms, uncovers signals that predict disease risk long before diagnosis.
He will 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.
What 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.
About the speaker
Benoit Lehallier is Head of Data Science at Alkahest, 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 preventative medicine.