Near-space habitation
Study human adaptation to hypoxia, pressure variation, thermal stress, radiation exposure, isolation and altered operational environments.
- Environmental physiology
- Human performance and recovery
- Habitation-system evidence
Physiological science for difficult conditions.
Advancing Human Health Performance.
Advancing Human Health Performance.
In Difficult and Unusual Conditions.
PatientTwin Bio is a physiological science laboratory and digital-twin research platform for near-space habitation, pharmaceutical clinical trials and hospital-led remote patient monitoring.
3Research environments
11Reusable twin models
551Canonical anatomy regions
Neuraladaptive response
Cardiorespiratoryperformance envelope
Musculoskeletalmovement and load
Reusable model sourceMale + FemaleWhole-body surface geometry
Core research missionHuman performanceDifficult and unusual conditions
Three environments. One human-performance mission.
We build and test technology that improves human health performance.
PatientTwin Bio develops and validates physiological technologies for people living, working, recovering and receiving care in difficult and unusual conditions.
Clinical research and trials
Support pharmaceutical research with protocol-linked digital twins, multimodal endpoints, participant timelines and transparent data provenance.
- Decentralised and hybrid trials
- Digital biomarker exploration
- Safety and response monitoring
Remote patient monitoring
Give hospitals a longitudinal physiological view that combines connected devices, clinical observations and escalation-ready evidence.
- Post-discharge observation
- Chronic-care monitoring
- Clinician-reviewed alerts
Our core business
Technology that helps people perform, adapt and recover when conditions are difficult.
We build and test human-health technologies across extreme environments, complex disease, demanding recovery pathways and continuous-care settings. The objective is not a dashboard—it is scientifically defensible improvement in human health performance.
Build
Digital twins, sensors, physiological models and monitoring technology.
Test
Stress, validate and compare technologies under realistic and unusual conditions.
Measure
Capture multimodal evidence across anatomy, physiology, behaviour and environment.
Improve
Translate evidence into better performance, resilience, recovery and care.
Reusable physiological twin architecture
Open the Twin Control Centre →
One reusable human model across research, trials and remote care.
The same canonical anatomy engine supports near-space studies, pharmaceutical evidence generation and hospital-led longitudinal monitoring without replacing the participant with disconnected dashboards.
01
Whole-body contextSurface anatomy, organs, brain, spine, sensory systems, gait, genome, trauma and surgical models.
02
Evidence bindingWearables, ECG, respiratory data, laboratory results, imaging, motion capture and genomics.
03
Longitudinal comparisonBaseline, intervention, recovery and follow-up views remain directly comparable.
Integrated participant statePTB-101
ParticipantLongitudinal Twin96.8% signal quality
Neural
Cardiorespiratory
Metabolic
Musculoskeletal
Genomics
Sources8 connected
Timepoints14 synchronized
Open signals3 under review
For pharmaceutical and biotechnology research
Clinical trials with physiological context built in.
Connect protocol design, participant phenotyping, digital endpoints and safety evidence without losing the biological story behind the data.
Discuss a clinical research programme01
Study and cohort design
ProtocolDefine protocol, endpoints, populations, consent requirements and evidence sources.
02
Baseline twin creation
BaselineEstablish anatomical, physiological and genomic context before intervention.
03
Continuous evidence capture
ActiveSynchronise devices, observations, laboratories and protocol events.
04
Response and safety analysis
ReviewCompare changes across systems with complete provenance and quality signals.
Remote physiology commandHospital cohort24 participants connected
MT
Marcus ThornePost-intervention recovery
Stable98% qualitySJ
Sarah JenkinsCardiorespiratory observation
Review92% qualityDO
David OkonjoMetabolic monitoring pathway
Escalate89% qualityActive streams118
Clinician reviews7
Data completeness95.4%
For hospitals and care networks
Remote monitoring that preserves the whole patient.
Move beyond isolated device values. PatientTwin Bio organises longitudinal evidence by physiological system, participant state and clinical context so review teams can understand what changed and why it matters.
Participant-level timelinesRemote readings, interventions and observations in one view.
Evidence-based escalationAlert review supported by quality, provenance and related signals.
Hospital-controlled workflowsClinical governance remains with authorised care teams.
Integrated laboratory platform
Research operations and physiological intelligence under one platform.
◫
Studies & Cohorts
Programmes, arms, enrolment and longitudinal research populations.
Research architecture → ⌁Protocol Library
Reusable physiological assessments, schedules and evidence requirements.
Study operations → ⌁Data Streams
Connected devices, laboratories, imaging and physiological sources.
Evidence network → ◇Samples & Biobank
Specimen lineage linked to participants, studies and analytical results.
Biological evidence → ◈Ethics & Consent
Research permissions, participant consent and governance controls.
Research governance → ✓Data Quality
Completeness, confidence, source provenance and anomaly review.
Evidence integrity → ⌘Genomics Core
Genetic context, variants and phenotype-linked research evidence.
Genomic research → ▤Research Outputs
Analysis packages, reports, datasets and publication-ready evidence.
Scientific outputs →
Scientific and clinical governance
Built for evidence that must be trusted.
PatientTwin Bio keeps scientific conclusions separate from raw measurements and derived indicators. Every physiological signal can retain its source, quality, timestamp, protocol context and review status.
01Ethics and informed consent
Participant permissions, study scope and use restrictions are treated as first-class research records.
02Data provenance
Measurements remain attributable to devices, laboratories, observations or transparent derivations.
03Clinical oversight
Remote monitoring supports authorised clinical workflows and does not replace professional judgment.
04Research reproducibility
Protocols, timepoints, transformations and output packages remain auditable.
Research partnerships
Build and test the next human-health technology with PatientTwin Bio.
Partner with Stratomission’s physiological science laboratory on near-space habitation, pharmaceutical clinical trials, hospital-led remote monitoring, digital biomarkers, devices and other technologies designed for difficult and unusual conditions.