About this dataset De-identified wearable biometrics and AI-derived inflammation scores from a UK remote-monitoring programme: high-frequency autonomic readings, daily symptom reports, treatment changes, labs, flare predictions and outcomes.
Expected update
Continuous (live table)
De-identified research use only. Aggregate results may be published; re-identification and record-level extraction are prohibited.
Visibility Restricted — only organizations the owner names can discover and use it. The allow-list itself is the owner’s to see.
Apps allowed to use this data 1 application is on the allow-list.
Any other app is rejected at mount time — the gatekeeper checks the deployment evidence against this allow-list before releasing data.
patients 9 fields Patient profile (anonymised). Column Type Description
patient_id string Anonymous patient identifier (primary key).
age_band string Age band.
sex string Sex.
region string Broad region.
enrolment_date date Enrolment date.
diagnosis string Type 2 Diabetes / Obesity / IBD / Rheumatoid Arthritis / Metabolic Syndrome.
programme string Inflammation Monitoring / GLP-1 Optimisation / Metabolic + ANS.
consent_status string Granted / withdrawn.
status string Active / completed / dropped_out.
baseline_health 11 fields Baseline health including inflammatory markers. Column Type Description
patient_id string Patient identifier.
weight_kg number Weight kg.
bmi number Body mass index.
hba1c_pct number HbA1c percent.
systolic_bp integer Systolic BP.
diastolic_bp integer Diastolic BP.
crp_mg_l number Baseline CRP mg/L (inflammatory marker).
cardio_risk string Low / moderate / high.
metabolic_risk string Low / moderate / high.
chronic_conditions string Comma-separated chronic conditions.
current_medication string Current medication list.
wearable_biometrics 9 fields High-frequency wearable ANS biometrics time series. Column Type Description
patient_id string Patient identifier.
ts timestamp Reading timestamp.
heart_rate integer Heart rate bpm.
hrv_ms integer Heart-rate variability RMSSD ms.
gsr_us number Galvanic skin response / skin conductance microsiemens.
activity_level number Movement intensity 0-1.
skin_temp_c number Skin temperature Celsius.
resp_rate integer Respiration rate breaths/min.
spo2 integer Blood oxygen percent.
daily_inputs 9 fields Daily patient-reported symptoms and lifestyle. Column Type Description
patient_id string Patient identifier.
date date Calendar date.
mood integer Mood 1-5.
stress integer Stress 1-5.
energy integer Energy 1-5.
appetite integer Appetite 1-5.
gi_symptoms string GI symptoms: none/bloating/cramping/diarrhoea/nausea.
side_effects string Reported side effects.
lifestyle_event string Poor sleep / alcohol / travel / illness / high stress / none.
treatment 9 fields Medication and dose changes. Column Type Description
record_id string Treatment record id.
patient_id string Patient identifier.
drug_name string Drug name.
drug_class string GLP-1 RA / GLP-1/GIP / Biguanide / Immunomodulator.
dose_mg number Dose mg.
start_date date Start date.
end_datenullable date End date (nullable).
adherence_pct integer Adherence percent.
clinician_note string Clinician note.
clinical_data 10 fields Periodic labs and clinician assessments. Column Type Description
patient_id string Patient identifier.
date date Date.
weight_kg number Weight kg.
glucose_mmol number Glucose mmol/L.
hba1c_pct number HbA1c percent.
systolic_bp integer Systolic BP.
diastolic_bp integer Diastolic BP.
crp_mg_l number CRP mg/L (inflammation).
esr_mm_h number ESR mm/h (inflammation).
clinician_assessment string Stable / mild activity / active flare.
care_interactions 9 fields Care interactions, often triggered by AI alerts. Column Type Description
patient_id string Patient identifier.
date date Date.
channel string Message / video call / phone / clinician review.
type string Routine / issue / escalation.
clinician string Clinician.
trigger string What prompted it, e.g. AI flare alert.
action string Action taken.
medication_change string Medication change made.
follow_up string None / scheduled / urgent.
ai_scores 9 fields AI-derived daily scores: inflammation and flare prediction. Column Type Description
patient_id string Patient identifier.
date date Date.
inflammation_score number Personalised inflammation score 0-100.
physio_stress_score number Physiological stress score 0-100.
side_effect_risk number Side-effect risk 0-1.
adherence_risk number Adherence risk 0-1.
predicted_flare integer Model predicts a flare in next 12-72h (0/1).
flare_horizon_hnullable integer Predicted flare horizon in hours (nullable).
model_confidence number Model confidence 0-1.
outcomes 8 fields Outcomes, one row per patient. Column Type Description
patient_id string Patient identifier.
weight_change_pct number Percent weight change.
hba1c_change number HbA1c change.
medication_tolerability string Good / moderate / poor.
dose_optimised integer Dose optimised (0/1).
retention_days integer Days retained.
clinical_response string Responder / partial / non-responder.
dropout integer Dropped out (0/1).