In an emergency — do not use this site. Contact your local emergency services.
In an emergency — do not use this site. Contact your local emergency services.
A new era of personalized addiction care — turning complex clinical data into clear, personalized insight for professional care teams.
Addiction care is complex. Despite major advances in neuroscience, diagnostics and data-driven technology, much of it still relies on standardized models, clinical observation and professional experience.
But every person is different, and so is the pace of progress and the response to any given intervention.
How can teams see earlier who is progressing and who is at risk?
PREDDICT AI moves addiction care from a uniform model to a measurable, personalized one.
Ten years of research behind the platform. PREDDICT AI™ came out of a decade of work at Bar-Ilan University, led by Professor Gal Yadid with Professor Moshe Szyf of McGill University.
It studied how biological and behavioral signals track a person’s condition over time.
Even an experienced team cannot always tell, week to week, how a particular person is responding. Progress runs at different speeds, and so does risk.
Intake and initial evaluation to determine suitability for the program.
At scheduled intervals, per professional protocol and consent requirements.
Captures current status and changes since the previous assessment.
The algorithm identifies patterns, trends and changes over time.
An individualized report with insights and points for consideration.
Repeated assessments allow the team to track longitudinal trends.
PREDDICT AI connects scientific research, individual data, AI and professional judgment.
It does not replace the clinician or decide anything on its own. It adds a layer of structured insight, so the team sees each participant more consistently.
Instead of learning what worked once the program has ended, the team gets signals along the way, while an adjustment still matters.
An individualized, up-to-date view of every participant in the program.
Identify situations that may need attention before the end of a program.
Base team conversations on accumulated, structured information.
Strengthen monitoring and quality assurance, and improve practice over time.
PREDDICT AI™ is a decision-support platform intended for use by qualified professionals. It does not replace diagnosis, treatment, medical advice or professional judgment. Use is subject to applicable protocols, consent requirements and regulatory obligations.
No. It is a decision-support platform. It produces structured insight for the professional team; every decision about a participant stays with the clinic’s qualified professionals.
Contact us to learn more, request a professional presentation, or explore whether PREDDICT AI™ may be suitable for your organization.
Data collected during the program under your own protocols, together with purpose-built questionnaires. Obtaining consent for that collection remains the responsibility of the clinic.
At the intervals your team sets. Repeated assessments are what allow longitudinal trends to be seen, so most centers run them on a fixed schedule rather than on request.
Tell us what you currently work with and we will go through it with you. That conversation is part of assessing whether the platform is a fit for your organization.
Yes. Anything you send through this page is treated as confidential and is only seen by the people who need to respond to you.
How the platform is used inside a treatment program.
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Tell us about your center and what you are trying to improve. If you are not sure whether the platform fits, say so — that is a normal place to begin.
A line or two is enough. You do not have to explain everything, or use the right words.
Not a queue, not an auto-reply. Someone who does this work looks at what you sent.
Usually within one working day, in the way you asked to be reached.
We tell you what we think would help. Nothing starts until you say so.
