Bridging the data gap between biology and AI to improve human health
Quantum Electrochemical Spectroscopy (QES):
A unique combination of quantum electrochemistry and ML that detects and analyzes vibrational signatures.
Biological systems are complex and highly dynamic1. Genetics provides the blueprint, proteins and metabolites are the effectors of health and disease. There are more than 1,000,000 protein isoforms (proteoforms)2 and 200,000 metabolites, fluctuating in form and abundance in response to environmental changes, disease, and lifestyle.
Measuring this complexity at scale requires a new angle. To allow AI to truly impact Biosciences and Healthcare, we need an approach that breaks incrementalism and produces reliable data.
To address this challenge, Probius has taken inspiration from the sense of smell. This allowed us to create a versatile sensor that can cope with a broad range of analytes in a complex background.
Probius’ QES platform transduces the vibrational signatures of species and extracts accurate mathematical representations…
…generating a multi-dimensional digital twin of that sample in the cloud
This digital twin can be used to find emerging features and patterns to build a scalable representation of biology.
1 Metwally, Ahmed A, Tom Zhang, Si Wu, Ryan Kellogg, Wenyu Zhou, Kevin Contrepois, Hua Tang, and Michael Snyder. “Robust Identification of Temporal Biomarkers in Longitudinal Omics Studies.” Edited by Jonathan Wren. Bioinformatics 38, no. 15 (August 2, 2022): 3802–11.
2 Aebersold, Ruedi, Jeffrey N Agar, I Jonathan Amster, Mark S Baker, Carolyn R Bertozzi, Emily S Boja, Catherine E Costello, et al. “How Many Human Proteoforms Are There?” Nature Chemical Biology 14, no. 3 (March 2018): 206–14.