Our science
The future of precision medicine
At LinusBio, we pursue scientific knowledge to satisfy our relentless curiosity.
That drive helped us develop the first temporal exposomic platform. Built on more than two decades of fundamental discovery research, this technology first showed that teeth retain temporal molecular signatures that reveal a person’s metabolic responses to environmental exposures.
Mapping biological responses
Our platform then uses mass spectrometry to characterize and map a person’s biological responses to environmental exposures. AI and other computational methods analyze the data to develop risk signatures.
Comprehensive insights
This approach provides comprehensive, temporal readouts that quantify environmental exposures, help diagnose disease, and support more effective patient care and clinical trials.
Our Hair is A Molecular Time Capsule of Metabolism
Later efforts found hair can perform the same function. These molecular signals can be interpreted, through AI and Machine Learning, to identify biomarkers associated with CNS and other health conditions, many of which have no other medical biomarkers.
Temporal exposomic data offers a completely new angle on precision medicine, providing comprehensive, time-based readouts that quantify environmental exposures. No other technology can provide this depth of information.
Our platform
Enabling accurate, early detection of complex conditions like ASD and ADHD thanks to laser ablation technology.
The applications are virtually limitless. LinusBio has developed an AI pipeline and unique global dataset that converts exposomic readouts into actionable information. These invaluable insights can: diagnose disease, identify the individuals who could benefit most from specific drugs; assess compliance and pharmacokinetics; measure toxic exposures in homes, neighborhoods or regions and more.
LinusBio’s platform can track this information over days, months or even years, delivering unparalleled, longitudinal insights that provide “the why” to better understand our exposome. The more we learn about this platform, the more our curiosity grows.
Scientific validation
Decades of innovation in exposome science
LinusBio’s technology is built on a decade of academic research conducted by co-founder and CEO Manish Arora, Ph.D., Vice Chairman of the Department of Environmental Medicine and Climate Science at the Icahn School of Medicine at Mount Sinai. The initial work was conducted in teeth and has since been reapplied to hair.
Associations between elemental metabolic dynamics and default mode network functional connectivity are altered in autism.
Elemental dynamics in hair accurately predict future autism spectrum disorder diagnosis: an international multi-centre study.
Dynamical properties of elemental metabolism distinguish attention deficit hyperactivity disorder from autism spectrum disorder.