Our digital twins enable confident and quick clinical trials

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We work in neuroscience, immunology, metabolic disease, and more.

Alzheimer’s disease
Amyotrophic Lateral Sclerosis
Asthma
Atopic Dermatitis
COPD
Coronary Artery Disease
Crohn’s disease
Dyslipidemia
Frontotemporal dementia
Huntington's disease
Hypertension
Migraine
Obesity
Osteoarthritis
Osteoporosis
Parkinson's disease
Psoriasis
Psoriatic Arthritis
Rheumatoid Arthritis
SCI
Stroke
Type 2 Diabetes
Ulcerative Colitis
Alzheimer’s disease
Amyotrophic Lateral Sclerosis
Asthma
Atopic Dermatitis
COPD
Coronary Artery Disease
Crohn’s disease
Dyslipidemia
Frontotemporal dementia
Huntington's disease
Hypertension
Migraine
Obesity
Osteoarthritis
Osteoporosis
Parkinson's disease
Psoriasis
Psoriatic Arthritis
Rheumatoid Arthritis
SCI
Stroke
Type 2 Diabetes
Ulcerative Colitis

TwinRCTsTM

Clinical trials powered by patients’ digital twins

Traditional RCT
TwinRCT

Shorten time to enrollment in late stage studies

Shorten time to enrollment in late stage studies

TwinRCTs reach full enrollment sooner because they require fewer patients to achieve the same power as traditional clinical trial designs.

graph showing participants enrolled versus time to show time saved with TwinRCTs

Make confident decisions from early stage studies

Make confident decisions from early stage studies

TwinRCTs improve the ability to observe treatment effects in early stage clinical trials by increasing power without adding more patients.

graph showing treatment effects in early stage clinical trials

Attract study participants

Attract study participants

TwinRCTs give participants a greater chance of receiving the experimental treatment because they use smaller control groups.

graph showing study enrollment rate when using TwinRCTs

Whitepaper

Defining Digital Twins in Drug Discovery and Development

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Engineering the future of medicine with artificial intelligence

We're solving AI for medicine

What are digital twins?

A patient’s digital twin is a comprehensive forecast of their future health. We invent and deploy new types of generative models trained on extensive patient-level data from previous studies.

A participant's baseline data is collected.

Their baseline data is run through our AI model trained on historical data.

A participant's digital twin is created.

How do digital twins enhance clinical trials?

We calculate prognostic scores for each patient in a randomized clinical trial using their digital twins. Adjusting for these scores in the analysis increases power while adhering to guidance from the US Food and Drug Administration and European Medicines Agency.

At the start of a trial, each participant has one of two potential outcomes: one outcome if they are assigned to the treatment group or one if they are assigned to the control group.

Their digital twin forecasts their potential control group outcome regardless of their actual assignment in the trial.

Participants’ digital twins are used in TwinRCTs, highly powered trials with smaller control groups.

What are digital twins?

What are digital twins?

A patient’s digital twin is a comprehensive forecast of their future health. We invent and deploy new types of generative models trained on extensive patient-level data from previous studies.

A participant's baseline data is collected.

Their baseline data is run through our AI model trained on historical data.

A participant's digital twin is created.

How do digital twins enhance clinical trials?

How do digital twins enhance clinical trials?

We calculate prognostic scores for each patient in a randomized clinical trial using their digital twins. Adjusting for these scores in the analysis increases power while adhering to guidance from the US Food and Drug Administration and European Medicines Agency.

At the start of a trial, each participant has one of two potential outcomes: one outcome if they are assigned to the treatment group or one if they are assigned to the control group.

one outcome if they are assigned to the treatment group or one if they are assigned to the control group.

Their digital twin forecasts their potential control group outcome regardless of their actual assignment in the trial.

Participants’ digital twins are used in TwinRCTs, highly powered trials with smaller control groups.