Research-stage wearable concepts for adaptive AI

Wearables designed to teach AI the patient’s biology

A research-stage sensing architecture for continuous, non-invasive monitoring of treatment-conditioned biological response.

Explore the concepts How it works

Thesis We design medical wearable concepts intended to help AI learn patient-specific biological response to treatment.

Method Continuous sensing is intended to turn treatment effects into measurable inputs rather than hidden variables.

Goal Make prognosis more specific, more adaptive, and less dependent on one-time snapshots.

AI struggles when the biology that determines patient response is unobserved. We are designing wearables intended to make that biology visible.

Instead of asking imaging alone to infer future trajectory, Conquer Medical’s concepts aim to capture the physiological signals through which treatment response is actually expressed: neural activity, circulation, respiration, temperature, tissue oxygenation, motion, and other continuous markers of biological state.

From snapshot to stream Move from one-time diagnostic state toward continuous response-aware monitoring.

From generic to patient-specific Train systems on the patient’s own evolving biology, not just population averages.

From hidden context to measured context Capture the treatment-conditioned variables conventional AI is forced to guess.

Our concepts

A wearable sensing architecture for adaptive clinical intelligence

Each device is designed to surface biological response in a form that could be monitored continuously, interpreted clinically, and integrated into patient-specific AI systems.

The devices shown here are research-stage concepts and engineering designs. They are not medical devices, have not been cleared or approved by any regulatory authority, are not available for sale, and are not for clinical or diagnostic use. Any data collection would be conducted only under applicable ethical, consent, and regulatory oversight.

Concept · in development

Neural sensing

Soft Node Helmet

Designed for high-density biosensing, intended to track neural and systemic signals during treatment and recovery.

Concept · in development

Multi-organ monitoring

Biosignal Amulet

Designed for discreet, continuous monitoring, intended to capture cardiac, respiratory, chemical, and thermal signals.

Concept · in development

Core physiology

Adaptive Waist Belt

Designed to track abdominal and core physiological dynamics, intended to capture temperature and intra-abdominal response.

Concept · in development

Localized tissue sensing

Flex Patch

Designed for conformal monitoring, intended to capture tissue oxygenation, inflammation, and muscle-level response.

Concept · in development

Mobility analytics

Mobility Band

Designed to capture gait, load, balance, circulation, and hemodynamic response during activity.

System architecture

How Conquer Medical is designed to work

Our approach is not to ask AI to infer missing biology from static data. It is to instrument the patient continuously so treatment response becomes part of the observed state.

Sense continuously

The wearables are designed to capture longitudinal physiological signals across treatment, activity, rest, and recovery, creating a live record of response dynamics rather than isolated snapshots.

Model patient-specific response

Continuous data streams are intended to let AI systems learn how this patient responds, not merely how similar patients were labelled in historical datasets.

Support adaptive care

The aim is safer and more specific monitoring of treatment-conditioned biology in oncology, neurology, and other settings where trajectory matters as much as diagnosis.

Contact

Building the next layer of clinical intelligence

We welcome conversation with clinicians, engineers, translational researchers, and strategic partners interested in wearable systems for patient-specific biological monitoring.

mae@conquermedical.health GitHub