Building the medical world model

Emular Health is developing AI that simulates how a patient's health changes under a given drug, so pharma and biotech teams can see how a candidate is likely to perform before it enters a trial.

The challenge

Designing drugs has become fast. Choosing which ones to test has not.

AI now designs drug candidates in months. Clinical trials still take years, and most still fail. The hard question has moved from what to make to which candidates to take forward.

~$300BSpent on pharmaceutical R&D globally each year
~70%Roughly the share of that spend that goes to clinical development
~90%Of candidates that enter clinical trials never reach patients
Our technology

A world model that simulates each patient's future under any treatment.

Give it a patient and a drug, and the model predicts how that patient's health will unfold with the drug, without it, and under the alternatives. Select a stage to see how it works.

Input Patient data
Diagnoses
Medications
Labs
Imaging
Genomics
Clinical notes
Treatment Drug representation
Molecular
structure
Genetic
targets
Pathways
Scientific
knowledge
Learned drug embedding
Model Medical world model
Counterfactual reasoning
Temporal dynamics
Population heterogeneity
Output Simulated health trajectories

Applications

Built for the decisions that shape a drug's path to patients.

Asset Diligence

Is this candidate worth advancing?

Predict the effectiveness and safety of a drug candidate before an in-licensing deal or a phase transition.

Business development and portfolio teams

Trial Optimisation

How should the trial be run?

Simulate thousands of protocol designs and select the one with the highest predicted probability of success.

Clinical development teams

Indication Expansion

Where else could this drug work?

Identify, evaluate and prioritise new medical uses for an existing drug.

Clinical strategy teams

Work with us

Emular Health is based in Oxford and partners directly with pharma and biotech companies. Tell us about the decision you are facing and we will come back to you within two business days.

Oxford, United Kingdom