How do you do preventative medicine if you don't know what to prevent?

How do you do preventative medicine if you don't know what to prevent?

How do you do preventative medicine if you don't know what to prevent?

Whole-genome data, synthesized with a lifetime of records—early detection across hundreds of conditions.

Whole-genome data, synthesized with a lifetime of records—early detection across hundreds of conditions.

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  • Coronary artery disease

  • BRCA1 / BRCA2

  • Type 2 diabetes

  • Atrial fibrillation

  • Lynch syndrome

  • Familial hypercholesterolemia

  • Clopidogrel response (CYP2C19)

  • Alzheimer's disease (APOE)

  • Hereditary hemochromatosis (HFE)

  • Abdominal aortic aneurysm

  • Colorectal cancer

  • Hypothyroidism

  • Non-alcoholic fatty liver disease

  • Long QT syndrome

  • Parkinson's disease

  • Asthma

  • Warfarin sensitivity (VKORC1)

  • Ovarian cancer

  • Insulin resistance

  • Heart failure

  • Pancreatic cancer

  • Multiple sclerosis

  • Glaucoma

  • Obstructive sleep apnea

  • Endometrial cancer

  • Dilated cardiomyopathy

  • Gallstone disease

  • Vitamin D insufficiency

  • Sodium sensitivity

  • Atopic dermatitis

Genome, labs, symptoms, and goals in. Three hours of chart review, gone. A personalized protocol you can build in five minutes.

Genome, labs, symptoms, and goals in. Three hours of chart review, gone. A personalized protocol you can build in five minutes.

Genome, labs, symptoms, and goals in. Three hours of chart review, gone. A personalized protocol you can build in five minutes.

What you get out

Every protocol built from the patient’s genotype and phenotype.

Every protocol built from the patient’s genotype and phenotype.

Every protocol built from the patient’s genotype and phenotype.

A reference that knows medicine is useful. This one knows your patient. Ask in plain language and get back a draft built from their genome and their record — for you to review, edit, and sign.

What we analyze

Four analyses, one genome.

Four analyses, one genome.

Four analyses, one genome.

Most tools do one of these. A clinical answer needs all four.

Polygenic Risk

640 traits scored against the common diseases that actually define aging, at an age where you can still intervene. Flags the ~8% at roughly 3× cardiovascular risk that family history and standard calculators miss.

Coronary artery disease

Very High

Type 2 diabetes

Very High

Type 1 diabetes

High

Gestational diabetes

High

Prediabetes

High

Latent Autoimmune Diabetes in Adults

Moderate

Maturity Onset Diabetes of the Young

Moderate

Type 3c diabetes

Average

Diabetes insipidus

Average

Clinical Variants

Pathogenic and likely-pathogenic variants, classified against curated clinical databases — ClinVar, gnomAD, ClinGen.

APOE

Pathogenic

ClinVar · gnomAD · ClinGen

3 sources

HLA

Likely pathogenic

ClinVar · gnomAD · ACMG

5 sources

MTHFR

Likely pathogenic

ClinVar · gnomAD · ICGC

3 sources

Pharmacogenomics

Run against the patient's active medication list, not a generic panel.

Levothyroxine

(Zoloft)

Current daily

Significant

Fluoxetine

(Prozac)

Current daily

Moderate

Sertraline

(Norpramin)

Moderate

Atorvastatin

(Lipitor)

Moderate

Amlodipine

(Norvasc)

Mild

Metformin

(Glucophage)

Significant

Lisinopril

(Prinivil)

Moderate

Simvastatin

(Zocor)

Mild

Nutrigenomics

Dietary guidance built from this patient's genome instead of population averages — how they metabolize and absorb, not what's trending.

FADS1 · omega-3 conversion

Reduced

FUT2 · B12 absorption

Increased

FADS3 · fatty acid metabolism

Stable

FUT2 · Vitamin D metabolism

Decreased

FUT2 · Calcium absorption

Normal

FADS1 · omega-3 conversion

Reduced

FUT2 · B12 absorption

Increased

FADS3 · fatty acid metabolism

Stable

FUT2 · Vitamin D metabolism

Decreased

FUT2 · Calcium absorption

Normal

Levothyroxine

(Zoloft)

Current daily

Significant

Fluoxetine

(Prozac)

Current daily

Moderate

Sertraline

(Norpramin)

Moderate

Atorvastatin

(Lipitor)

Moderate

Amlodipine

(Norvasc)

Mild

Metformin

(Glucophage)

Significant

Lisinopril

(Prinivil)

Moderate

Simvastatin

(Zocor)

Mild

APOE

Pathogenic

ClinVar · gnomAD · ClinGen

3 sources

HLA

Likely pathogenic

ClinVar · gnomAD · ACMG

5 sources

MTHFR

Likely pathogenic

ClinVar · gnomAD · ICGC

3 sources

Coronary artery disease

Very High

Type 2 diabetes

Very High

Type 1 diabetes

High

Gestational diabetes

High

Prediabetes

High

Latent Autoimmune Diabetes in Adults

Moderate

Maturity Onset Diabetes of the Young

Moderate

Type 3c diabetes

Average

Diabetes insipidus

Average

Leadership Team

Leadership Team

Profile was designed by people who have to use it—a practicing clinician, a molecular pathologist, and a founder who has spent years being the patient whose diagnosis took too long. It's built for a real visit because it was built inside one.

Dr. Brendan Cochran, CMO

Clinician and founder of Interactive Health Clinic. International lecturer in longevity medicine, chronic disease, integrative oncology.

Dr. Tushar Chakravarty, CSO

Physician and molecular pathologist (UCSF). Built a genomics lab from the ground up at Loma Linda. Biochemistry, Johns Hopkins.

Quinton Poncelet, CAIO

CERN physicist and AI researcher; high-energy physics and advanced simulation, now powering Profile's genotype × phenotype pipeline.

Mandi Bateman, CEO

Repeat founder; scaled products across health and edtech. And the patient—living with autoimmune disease, she sees the problem from the inside.

Bring Profile to your practice.

Bring Profile to your practice.

Runs on top of your existing EHR.

Schedule a Demo

Genetic intelligence for clinicians. Whole-genome sequencing plus a lifetime of records, synthesized into one view and delivered into your EHR.

Disclaimer: Profile Health provides clinical decision support and does not diagnose or recommend treatment. All clinical decisions remain with the treating physician.

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© 2026 Profile Health Inc.

Polygenic Risk

640 traits scored against the common diseases that actually define aging, at an age where you can still intervene. Flags the ~8% at roughly 3× cardiovascular risk that family history and standard calculators miss.

Coronary artery disease

Very High

Type 2 diabetes

Very High

Type 1 diabetes

High

Gestational diabetes

High

Prediabetes

High

Latent Autoimmune Diabetes

Moderate

Maturity Onset Diabetes

Moderate

Type 3c diabetes

Average

Diabetes insipidus

Average

Clinical Variants

Pathogenic and likely-pathogenic variants, classified against curated clinical databases — ClinVar, gnomAD, ClinGen.

APOE

Pathogenic

ClinVar · gnomAD · ClinGen

3 sources

HLA

Likely pathogenic

ClinVar · gnomAD · ACMG

5 sources

MTHFR

Likely pathogenic

ClinVar · gnomAD · ICGC

3 sources

Pharmacogenomics

Run against the patient's active medication list, not a generic panel.

Levothyroxine

(Zoloft)

Current daily

Significant

Fluoxetine

(Prozac)

Current daily

Moderate

Sertraline

(Norpramin)

Moderate

Atorvastatin

(Lipitor)

Moderate

Amlodipine

(Norvasc)

Mild

Metformin

(Glucophage)

Significant

Lisinopril

(Prinivil)

Moderate

Simvastatin

(Zocor)

Mild

Nutrigenomics

Dietary guidance built from this patient's genome instead of population averages — how they metabolize and absorb, not what's trending.

FADS1 · omega-3 conversion

Reduced

FUT2 · B12 absorption

Increased

FADS3 · fatty acid metabolism

Stable

FUT2 · Vitamin D metabolism

Decreased

FUT2 · Calcium absorption

Normal