MIPHACARE FOR PROVIDENCE HEALTH CARE REVIEW
MiPhaWell AIINTELLIGENT HEALTHCARECollaborate with us →
Physics-led medical AI & engineering · Vancouver, Canada

Understanding patient deterioration earlier. Engineering new possibilities in healthcare.

MiPhaWell AI runs two physics-grounded healthcare research programs: MiphaCare, a patient-trajectory clinical AI platform designed to surface deterioration earlier, and MiPhaOne, a simulation-first program exploring non-invasive neuromodulation.

Explore our programs →
See how MiphaCare and MiPhaOne approach two different healthcare challenges.
Explore our demos →
Walk through our clinician workspace and ICU research dashboard with our team. All demo data is synthetic.
Research arrangement with Providence Health Care · Retrospective ICU evaluation in preparation, subject to required research approvals.
Our flagship programs

Two distinct programs. One evidence-led engineering discipline.

Model complex systems, test assumptions, and build toward technologies clinicians can evaluate responsibly.

01 / Clinical AI research

MiphaCare

Deterioration rarely happens all at once. It develops across heart rate, breathing, oxygen levels, and clinical context. MiphaCare is designed to model each patient’s trajectory over time, identify emerging risk patterns, and present interpretable information to the clinicians responsible for care.

Patient trajectoriesEarly-warning researchClinical dashboardsDecision support
“The Drift” — how deterioration builds graduallyLearn more about MiphaCare →
Research areas, evaluation pathway, current status, and FAQs.

How patient deterioration builds across vital signs, and why trends matter more than a single reading. Illustrative animation.

Research stage. Current demonstrations use synthetic data; clinical performance has not been established.
02 / Simulation-stage research

MiPhaOne

MiPhaOne is an investigational program exploring non-invasive neuromodulation through physics-based computational modeling and engineering simulation.

Computational physicsSimulation-first approachEngineering research
Physics first. Hardware second.Learn more about MiPhaOne →
Our simulation-first approach, research pathway, and current stage.

How computational modeling guides neuromodulation research before hardware development. Abstract research illustration.

MiPhaOne conceptual neuromodulation research illustration

MiPhaOne · Simulation-stage neuromodulation research

Simulation stage. No validated hardware performance, safety, or clinical efficacy is claimed.
Evidence before claims

Where our research stands

MiPhaWell AI is preparing a retrospective research evaluation of MiphaCare’s predictive methods using ICU data through a research arrangement with Providence Health Care in British Columbia. The evaluation remains subject to applicable research ethics, privacy, governance, contractual, and data-access approvals.

See where our research stands →
Explore the research pathway and current stage of retrospective ICU evaluation.
01
Model and simulateBuild technical concepts and synthetic research demonstrations.
02
Evaluate rigorouslySeek authorized retrospective assessment and reproducible validation.
03
Engineer responsiblyAdvance hardware, usability, and safety work through appropriate testing.
04
Support cliniciansDesign for oversight, explainability, and human decision-making.
Explore our technology

From clinical workflows to ICU research.

Explore interactive development and research demonstrations. Interfaces and sample patient information are illustrative and do not establish clinical deployment or validated outcomes.

MIPHAWELL AI CLINICIAN WORKSPACE
Patient context
AI brief
Care workflow
✦   Profile · Alerts · AI Assistant
Development demonstration

Clinical Intelligence Platform

A doctor-facing workspace exploring patient context, AI-assisted summaries, medication review, communication, voice interaction, and emergency-profile workflows.

Request a guided demo →
Explore patient context, AI-assisted summaries, medication review, and care communication with our team. For clinicians, researchers, and partners.
MIPHACARE ICU SYNTHETIC DATA
Risk trajectories · Explainability · Clinician review
Synthetic ICU research demo

ICU Risk & Outcome Research

Explore illustrative patient acuity ranking, device-infection risk trajectories, outcome estimates, and model-explanation views. Numbers in the walkthrough are not clinical validation evidence.

Request a guided demo →
See illustrative risk trajectories, acuity ranking, and model explanations using synthetic ICU data.
MIPHAWELL AI VOICE + CHAT
What is MiphaCare?
Research-stage clinical intelligence and connected-care technology.
Public assistant demo

MiPhaWell AI Assistant

Conversational exploration of MiPhaWell AI's technologies, development programs, and product vision, with voice-enabled interaction.

Try the assistant ↗
Ask about our technology and research by voice or text. Not for medical advice.

Connected healthcare technology

From patient applications to clinical intelligence.

Our broader software architecture connects patient-facing experiences with modular backend services and healthcare workflows.

Development status: Research — under investigationSimulation — computational modelsPrototype — development-stage softwarePlanned — not yet implemented
Prototype

iOS health application

Patient profiles, symptom information, medication context, and health-data experiences developed for Apple devices.

Prototype

Health data integration

Architecture for longitudinal vitals, wearable measurements, and contextual health information, including Apple Health integrations.

Research

AI services

Modular services for health information, risk modeling, recommendations, and clinical decision-support research.

Prototype

Cloud backend

Containerized microservices and APIs designed to support extensible healthcare application workflows.

Research

Clinical interfaces

Dashboard concepts for hospitals and physicians to review patient trajectories, alerts, and clinical context.

Planned

Connected care experiences

Physician-patient communication and video-visit workflows within the broader product roadmap.

Designed around healthcare teams

Clinical signals, physician oversight, and patient context.

Our development priorities are shaped by the distinct needs of clinicians, researchers, and individuals managing their health.

Hospitals & clinical teams

Research into interpretable patient trajectories, early warning, and clinician-reviewed decision support.

Physicians & care providers

Tools and concepts for longitudinal context, patient review, and connected care interactions.

Patients & individuals

Mobile-first access to health profiles, measurements, and understandable personal health information.

About MiPhaWell AI

A physics-first approach to healthcare technology.

MiPhaWell AI is a Vancouver-based, physics-led health technology company advancing two research programs: MiphaCare, a clinical AI platform designed to identify emerging patterns of patient deterioration by tracking individual patient trajectories over time, and MiPhaOne, a simulation-first program investigating non-invasive neuromodulation.

Our guiding principle is simple: healthcare technology should be modeled before it is built, tested before claims are made, and designed to keep clinicians in control. We apply the discipline of physics and engineering—defining systems, measuring rigorously, and validating against evidence—to healthcare challenges where patient safety matters most.

MiphaCare is preparing for a retrospective research evaluation using ICU data through a research arrangement with Providence Health Care in British Columbia, subject to applicable research ethics, privacy, governance, and data-access approvals. MiPhaOne remains at the simulation stage, where engineering concepts are investigated computationally before progressing toward physical hardware development.

Founder & CTO

Dr. Seyed Sharif

Dr. Seyed Sharif is a PhD physicist, technology entrepreneur, and inventor named on approximately 40 patents. He leads MiPhaWell AI's clinical AI architecture and physics-based engineering research.

1999–2002L3 Technology · Co-founder & Chief Scientist
2002–2009Mobidia · Co-founder & Chief Scientist
Dates under reviewmimik · Co-founder & CEO
TodayMiPhaWell AI · Founder & CTO
Let's build what's next

Explore a research collaboration.

We welcome conversations with hospitals, clinical researchers, engineering partners, and investors. Email us to discuss research collaborations and demonstrations.

Email our team →
Request a demo →
Prefer to see it first? Request a guided walkthrough.
Tell us about your organization and your interest in research, clinical collaboration, engineering, or investment.

Request a Guided Demo

Tell us what you would like to explore. We will contact you to discuss a walkthrough.

Please do not include patient information or sensitive medical details. We use your information to respond to your inquiry.

Or email us directly →