Resources

FEATURED VIDEO

Unlocking Scalable Quantitative Metabolomics with AI

Jennifer M. Campbell, PhD, Chief Scientific Officer, discusses how Matterworks is unlocking scalable quantitative metabolomics with AI. This talk was originally given at a breakfast workshop hosted by Thermo Fisher Scientific at ASMS 2023.

image on a gray background with the Matterworks logo and Unlocking Scalable Quantitative Matabolomics with AI

News & Press Releases

JUNE 2024

Matterworks Launches Pyxis™ - First AI-Powered, Turn-Key Platform for Identification and Absolute Quantitation from Mass Spectrometry Data

Matterworks is pleased to announce the official launch of Pyxis, our AI-powered platform for untargeted absolute quantitation of analytes.

ARTICLE

MAY 2024

Matterworks Announces Updates to Leadership Team

Matterworks is pleased to announce the appointments of Jennifer M. Campbell, Ph.D. to the position of Chief Scientific Officer and Niall O'Connor to the position of Chief Technology Officer.

ARTICLE

FEBRUARY 2024

Matterworks Announces Board Updates

Matterworks is pleased to announce the appointments of Michael Lavin, a Managing Partner at Germin8 Ventures and Dr. Shubhra Jain, Head of Health-Tech Venture Investments at Tarsadia, as Board Members.

ARTICLE

MARCH 2023

2023 Life Science Review Award

Matterworks has been recognized in the Top 10 Biotech Startups - 2023 by Life Science Review.

ARTICLE

DECEMBER 2022

Matterworks Announces CEO Appointment and Board Updates

Matterworks, Inc., developers of the world’s most powerful AI platform for modeling real-time biology to accelerate the discovery, development, and manufacturing of life sciences technologies, including biologics and gene therapies, today announces CEO appointment and updates to its Board of Directors.

PRESS RELEASE

AUGUST 2022

Matterworks Awarded NIIMBL Project 5.2 Grant

Matterworks is awarded a grant to participate in NIIMBL Project 5.2. With support from Eli Lilly and Sartorius our novel AI-powered Pyxis™ Metabolomics Platform will demonstrate biological insight in bioprocessing through the rapid, absolute quantitation of critical metabolites that impact titer and CQAs.

ARTICLE

APRIL 2022

Matterworks Announces Updates To Its Board Of Directors

Matterworks, Inc., developers of the world’s most powerful metabolomics platform, which accelerates the discovery, development, and manufacturing of biologics and gene therapies, today announces updates to its Board of Directors.

PRESS RELEASE

Product Literature

Application note cover page titled simple, scalable absolute concentrations in untargeted metabolomics

JUNE 2024

Simple, Scalable Absolute Concentrations in Untargeted Metabolomics

An application note that explores the challenges of quantitative metabolomics and how Pyxis can be used to generate simple, scalable absolute concentrations.

PDF

 

image on a gray background with the Matterworks logo and Unlocking Scalable Quantitative Matabolomics with AI

AUGUST 2023

Unlocking Scalable Quantitative Metabolomics with AI

Jennifer M. Campbell, PhD, Chief Scientific Officer, discusses how Matterworks is unlocking scalable quantitative metabolomics with AI. This talk was originally given at a breakfast workshop hosted by Thermo Fisher Scientific at ASMS 2023.

VIDEO

 

Website - Resources Thumbnail - 750x394 px

JUNE 2024

Pyxis Product Brochure

A product brochure that details Pyxis application areas, function, and technology along with a list of recent publications.

 

 

PDF

 

Image of Absolute Quantitation of Metabolites Using Machine Learning and StandardCandles as Universal Calibrators - the second-generation model

JULY 2023

Absolute Quantitation of Metabolites Using Machine Learning and StandardCandles as Universal Calibrators - the second-generation model

Jennifer Campbell, PhD, Chief Scientific Officer, gives a brief overview of how Matterworks is using machine learning and universal calibrators to enable whole metabolome reading

VIDEO AND PDF

 

An image of the Pyxis logo with the application brief title and summary text

MAY 2024

Using Pyxis for the Characterization of Microbiome Function

An application brief explaining how Pyxis can be used for absolute quantitation of untargeted small-molecule messenger analytes to elucidate microbiome function.

PDF

 

Image of Absolute Quantification of Key Cellular Metabolites in Bioprocessing Samples Using Machine Learning

JUNE 2023

Absolute Quantification of Key Cellular Metabolites in Bioprocessing Samples Using Machine Learning

Luke Ferro, PhD, gives a short poster overview of a collaboration between Matterworks and Eli Lilly for the quantification of metabolites from bioreactors.

VIDEO AND PDF

 

Content by Application Area

An image of the Pyxis logo with the application brief title and summary text

MICROBIOME

Using Pyxis for the Characterization of Microbiome Function

An application brief explaining how Pyxis can be used for absolute quantitation of untargeted small-molecule messenger analytes to elucidate microbiome function.

PDF

 

Image of Absolute Quantitation of Metabolites Using Machine Learning and StandardCandles as Universal Calibrators - the second-generation model

OTHER

Absolute Quantitation of Metabolites Using Machine Learning and StandardCandles as Universal Calibrators - the second-generation model

Jennifer Campbell, PhD, Chief Scientific Officer, gives a brief overview of how Matterworks is using machine learning and universal calibrators to enable whole metabolome reading

VIDEO AND PDF

 

image on a gray background with the Matterworks logo and Unlocking Scalable Quantitative Matabolomics with AI

ARTIFICIAL INTELLIGENCE

Unlocking Scalable Quantitative Metabolomics with AI

Jennifer M. Campbell, PhD, Chief Scientific Officer, discusses how Matterworks is unlocking scalable quantitative metabolomics with AI. This talk was originally given at a breakfast workshop hosted by Thermo Fisher Scientific at ASMS 2023.

VIDEO

 

Image of Absolute Quantification of Key Cellular Metabolites in Bioprocessing Samples Using Machine Learning

BIOPROCESSING

Absolute Quantification of Key Cellular Metabolites in Bioprocessing Samples Using Machine Learning

Luke Ferro, PhD, gives a short poster overview of a collaboration between Matterworks and Eli Lilly for the quantification of metabolites from bioreactors.

VIDEO AND PDF