Transforming brain health

An AI-enabled paradigm for precision medicine in CNS diseases

our data

Multi-modal insights drive evidence-based care

Our platform is built on the largest and most comprehensive databank combining advanced neuronal imaging, genomic profiles, and real-world clinical data from patient-derived neurons.

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1.5M+
Clinical Data Points
2,500+
Microscopy Features
20,000+
RNA Transcripts/Patients
120,000+
Clinical Patients

Our Process

step 1
Patient Sample

The process begins with a simple blood draw, which can be performed in any setting, including the comfort of home.


A rectangle shaped structure having pillars inside it with a white background
Stem Cell Conversion with white background

step 2
Stem Cell Conversion

Using Nobel-Prize winning technology, peripheral blood cells are reprogrammed into pluripotent stem cells through the induction of key developmental protein factors.

step 3
Brain in a Dish

Stem cells are treated with a carefully designed sequence of growth factors to generate specific neuronal subtypes, reflecting the brain regions most relevant to the disease.

Patient-derived neurons are then exposed to various compounds or challenges. Key features of neuronal function, activity, and communication are analyzed using cutting-edge computer vision and deep learning algorithms.


Brain in a dish image
A cube shaped dotted structure having white background

step 4
AI Predictions

Powerful AI tools are used to combine the various features into a single score that reflects the compound’s efficacy on the specific patient’s neurons.

This score is then combined with clinical and demographic features of the patient for environmental effects and potential drug adverse effects, as well as with the patient's pharmacokinetic profile, resulting in a combined score for drug responsiveness.

step 5
Deep
Understandings

Using insights generated from each patient’s own neurons provides an unprecedented window into the mechanisms underlying individual drug response, even before the first prescription is written.

By combining molecular analysis with clinical context, our platform reveals how compounds act in the brain, their interaction with clinical and environmental factors, and where novel mechanisms may offer new opportunities for treatment.

The outputs are clinically actionable insights from mechanistic underpinnings in individual patients, enabling clinicians to prescribe with confidence and improve outcomes at scale.


Side view of brain with white background

How it works

A rectangle shaped structure having pillars inside it with a white background
step 1

Patient Sample

The process starts with a standard patient blood collection. Blood samples can be obtained in any setting including the comfort of an individual’s home.

Stem Cell Conversion with white background
step 2

Stem Cell Conversion

Through a process that induces protein expression of key factors found in early embryos, peripheral blood cells are reprogrammed to pluripotent stem cells using Nobel prize winning technology.

Brain in a dish image
step 3

Brain in a Dish

Once created, these stem cells are treated with a sequence of unique growth factors to generate specific neuronal subtypes that reflect the brain region most relevant for disease.

Patient-derived neurons are then exposed to compounds or other challenges and features relevant for neuronal function, activity, and communication are analyzed using state-of-the-art computer vision and deep learning algorithms

A cube shaped dotted structure having white background
step 4

AI Predictions

Powerful AI tools are used to combine the various features into a single score that reflects the compound’s efficacy on the specific patient’s neurons.

This score is then combined with clinical and demographic features of the patient for environmental effects and potential drug adverse effects, as well as with the patient pharmacokinetic profile, resulting in a combined score for drug responsiveness.

Side view of brain with white background
step 5

Deep Understandings

Using insights generated from each patient’s own neurons provides an unprecedented window into the mechanisms underlying individual drug response, even before the first prescription is written.
By combining molecular analysis with clinical context, our platform reveals how compounds act in the brain, their interaction with clinical and environmental factors, and where novel mechanisms may offer new opportunities for treatment.
The outputs are clinically actionable insights from mechanistic underpinnings in individual patients, enabling clinicians to prescribe with confidence and improve outcomes at scale.

Testimonials

I truly feel that they care about my well-being and are dedicated to helping me achieve the best possible outcome. Their approach allows them to design a personalized treatment plan that perfectly suits my needs. This level of attention and individualized care has made a significant difference in my journey.
Emma, 24
What impressed me the most about NeuroKaire was how easy the process was and how they even connected me to the right provider. I didn’t have to leave my home for extra appointments, and they worked around my schedule. Their personalized insights have made a tremendous difference.
Austin, 32