Platform and Solutions

Addressing key clinical trials challenges like a high-placebo response, heterogeneity, subjectivity and scalability.

PlaceboInsight AI

PlaceboInsight AI

Leverages AI/ML to improve the likelihood of success of Phase II and III clinical trials by increasing their power.

What is it

PlaceboInsightAI identifies placebo responders to increase drug-placebo differences during Phase II and III clinical trials.

Data

Validated on trial data, PlaceboInsight AI can be adapted to common end-point measurements.

Outcome

Enhances the effect size of Phase II and III clinical trials by up to 50%, directly improving their likelihood of success.

TherapyInsight AI

TherapyInsight AI

Uses AI/ML models and Phase II clinical trial data to stratify patients by revealing unique EEG patterns in high-responders to new therapies.

What is it

TherapyInsightAI utilizes EEG data to categorize patients into clusters, predicting their response to specific antidepressants within each cluster.

Data

Can be easily repurposed for novel therapies. Acts as a companion diagnostics for treatment selection and monitoring. Trained on a vast dataset, TherapyInsight AI can also facilitate drug repurposing.

Outcome

Increased likelihood of success for Phase III trials as well as improved treatment efficacy.

CleanSpectrum AI

CleanSpectrum AI

Ensures compatibility with most EEG devices by eliminating noise from EEG data.

What is it

CleanSpectrumAI cleans and combines EEG data from private, public and pharma trials datasets. Utilizes data whitening and other AI/ML models for the removal of site-related noise. Detects and filters interpolation of bad channels and removes physiological noise.

Data

The ML models have been refined using a vast dataset of 13.5 million training segments, gathered from 45 site locations and 10 different EEG devices.

Outcome

Improves the quality of EEG data in preparation for clinical trials and streamlines the overall process of data sanitation, as well as ensuring compatibility with a wide range of EEG devices.

Private
Public
Datasets sources
53%
47%
Females
Males
Sex breakdown
50%
50%