Psychiatry and neurology care transformed.

An AI-enabled paradigm for precision medicine in CNS diseases

our data

Multi-modality data drives evidence-based practice

The largest and most comprehensive databank combining imaging, genomic and clinical data from patients’-derived neurons.

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

How it works

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.


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

step 2
Stem Cell Conversion

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

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.


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 patients' own derived neurons allows for the first time insight into drug efficacy in individual patients, even before first-in-human studies.

Using the combination of imaging and molecular analysis, we obtain a deep understanding of the mechanism of action of each compound, its interaction with clinical and environmental factors, and comparison with existing or in-development drugs.

The outputs are actionable insights from mechanistic underpinnings in individual patients.


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 patient’s own derived neurons allows for the first time insight into drug efficacy in individual patients, even before first-in-human studies.

Using the combination of imaging and molecular analysis, we obtain deep understanding of the mechanism of action of each compound, its interaction with clinical and environmental factors, and comparison with existing or in-development drugs.

The outputs are actionable insights from mechanistic underpinnings in individual patients.

Contact Us

New Jersey Office

78 John Miller Way,
Kearny, NJ 07032, USA

Tel Aviv Office

Yigal Alon Street 126
Tel Aviv-Yafo, Israel

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