⬡PHYSICIAN
INTELLIGENCE
Collaboration Projects

Adaptive AI
with Embodiment.

Bridging the Gap Between Intention and Action.

Professional advice alone does not guarantee meaningful action. People may understand what they need to do but struggle to start, complete or sustain an intervention.

Our collaboration projects investigate how Adaptive AI, combined with appropriate wearable sensing, haptic feedback and physical assistance, can help bridge this gap.

Starting from professionally defined objectives, the service supports the next permitted action while keeping physicians and physiotherapists in control of professional decisions.

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Our Software-Service Foundation

Green Code™ — Service as Software

Green Code™ is our first GLP-1-specific software service. It demonstrates how Physician Intelligence can support daily routines, behaviour change, execution reporting and professional oversight without requiring a wearable device.

It provides a service reference against which the additional value of embodiment can be evaluated.

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Green Code™ · Illustrative Software UI

Daily Routine Calendar

Strength routine○
Recovery check-in○
Nutrition support○
Hydration routine○

Non-clinical interface illustration. Not a patient record or validated outcome.

Flagship Collaboration Projects

Two Exploratory Applications

Adjustable Textile Band — resistance training concept
01

Adaptive AI ATB

Physician AI Twin™ with Embodiment

Exploring how an Adjustable Textile Band (ATB) can help people receiving clinician-managed GLP-1 therapy turn resistance-training intention into supported, observable physical action.

Adaptive interaction may help users initiate a session, recognise task-specific execution evidence, receive bounded feedback and return to the next physician-approved activity.

Research focus

Initiation, adherence, verified task completion and functional outcomes, including the incremental value of ATB compared with the Green Code software-only service.

Soft hand exoskeleton — stroke rehabilitation concept
02

Adaptive AI Soft Hand Exoskeleton

Physiotherapist AI Twin™ with Embodiment

Exploring how therapist-governed sensing, feedback and controlled assistance can support repeated, meaningful hand practice after stroke.

Adaptive AI may recognise attempts and execution states, identify uncertainty and support the next permitted action within therapist-defined boundaries.

Research focus

Meaningful repetition, safe task performance, hand function, therapist workload and the added value of sensing, feedback or assistance. Active assistance requires device-specific safety and clinical validation.

Shared Service Loop

From Intention to Supported Action.

Adaptation remains within approved professional limits and responds to available evidence and uncertainty.

◎

Professional objective

◇

Intention

↗

Initiation / attempt

✳

Supported action

▥

Execution evidence

↺

Professional review / next permitted action

Our Collaboration Ambition

Working Together for Greater Impact.

We bring together physicians, physiotherapists, wearable-device companies, robotics developers, research institutions and healthcare providers to develop and evaluate Human–AI services that move beyond recommendations towards meaningful physical participation and measurable functional outcomes.

Professional Partners

Co-develop a Professional AI Twin.

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Wearable & Robotics

Become a Technology Partner.

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Research Partners

Propose a Research Project.

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Healthcare Organisations

Explore clinical workflow and evidence collaboration.

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Research and claims notice: Research and claims notice: These are exploratory collaboration projects. Adaptive AI does not independently diagnose, prescribe or determine clinical progression. ATB sensing requires task- and placement-specific validation. The Soft Hand Exoskeleton is not presented as a proven therapy or cleared medical device. MiPA by NEURA Robotics may be referenced only as a potential research collaboration concept, not an agreed partnership. Any proposed research collaboration is subject to appropriate agreements, safety review and validation.