Revolutionizing Precision Medicine with the Power of AI and Metabolites

Why Metabolites

Metabolites are small molecules like glucose & cholesterol that are produced during metabolic processes.

  • They direct readouts of both genetic & non-genetic factors associated with disease and drug response.
  • Metabolites are secreted to the blood from normal tissues and disease cells.
  • The study of <200 blood metabolites in >117,000 individuals predicted multi-disease outcomes. (Nature Medicine, 28, 2022, 2309–2320)





Our patented AI-based platform overcomes critical challenges in large-scale metabolomics, such as signal detection and annotation within a multi-omics context.


This innovation enables first-in-class generative models and metabolic twins, virtual patients that simulate health, disease, and treatment response.

How does our technology work?

Precision Obesity


Metabolic health is currently assessed using oversimplified metrics like BMI, fasting glucose, or limited lipid panels.



We use AI and 10,000+ lipids and metabolites to develop digital metabolic twins.


Our obesity twins predict metabolic health beyond BMI and risk of T2D, CVD, and other chronic diseases.

Precision Oncology


Immuno-oncology

Cancer immunotherapy drugs activate the body's immune system to fight cancer.

They have revolutionized cancer treatment. However:

  • <20% of patients benefit from immunotherapy
  • >35% of patients develop severe immune-related adverse events

Our AI-enabled precision medicine platform tackles all these problems by predicting which patients benefit from immunotherapy.

Precision Oncology


"The Obesity Paradox"

Obese individuals face a higher cancer risk but respond better to immunotherapy.

Cancer is a systematic disease that alters systematic metabolism and blood metabolites.

Our AI-platform detects changes in blood metabolites at unprecedented levels, offering crucial insights into the metabolism of the host, the tumor, and their interplay.

Precision Oncology


RCC metabolic twins

Renal cell carcinoma (RCC) metabolic twins shed light on the immuno-metabolic mechanism associated with disease progression and treatment response.

Our RCC metabolic twins accurately predict which patients will respond to cancer immunotherapy before treatment.

Partner with us

We believe in the power of partnerships to bring the right treatment for the right patients faster

Label/indication expansion

By utilizing multi-modal metabolomics data, we identify additional patient populations that could benefit from the drug

Optimized clinical trial design

Our virtual patients simulate placebo arms to reduce clinical trial size and predict treatment responders to improve success rates.


Therapeutic development

Our platform identifies and prioritizes novel targets, driving combination strategies and portfolio optimization.

Learn more:

TECHNOLOGY

Developed at MIT and published in Nature Methods

ABOUT US

Learn more about our founders and team

NEWS

ReviveMed Announces First-in-Class Generative Models for Metabolomics

Contact us

ADDRESS:

ReviveMed Inc

245 First St.,

Cambridge, MA, 02142


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