Data in Context

Model Generator

Data becomes insight. Insight becomes decisions.
For every individual. Personalised.

The Principle

Why group statistics fall short – and what is possible today

Classical statistics answer the question: What applies to the group? Averages, norms, reference values – they describe how a population behaves on average. In medicine, sport, and tactical contexts, however, it is the individual that matters. And no individual is an average.

Bayesian statistics answer a different question: What applies to this person, with this data profile, right now? With modern AI and today's computing power, Datico® can not only build these models – it can continuously optimise them with every new data point.

Classical Statistics

✗Group-based averages
✗Static reference values
✗Applies to "the average"
✗No individual adaptation

"What applies to the group?"

Datico® Model Generator

✓Individual predictive models
✓Continuously learning (m=1)
✓Applies to exactly this individual
✓More precise with every data point

"What applies to this person?"

The mathematical principle of Bayesian statistics

Posterior ∝ Likelihood × Prior

Posterior The updated, personalised model after incorporating new measurement data

Likelihood How well do the new individual measurements fit the existing model?

Prior Prior knowledge from science, research, and clinical expertise

With every new data point, the posterior becomes the new prior baseline – the model learns continuously and becomes more precise with each measurement.

How it works

From prior to personalised insight

Define the Prior

Together with Datico experts, all scientific findings and available domain knowledge are consolidated around a specific question. This prior represents the best collective knowledge – even before a single individual data point is available.

Integrate Individual Data

Diagnostics, performance data, wearable readings, lab results, questionnaires – all data sources available in the Datico® LIFE HUB feed into the model. Device Connector, Smart API, Smart Forms: every source sharpens the picture.

m=1 Validation

The model is continuously validated and adjusted against the data of this one individual – not a group. Each new measurement updates the model: today's posterior becomes tomorrow's prior baseline.

Actionable Recommendations

Concrete, personalised recommendations for coaches, therapists, physicians, and commanders – always current, always individual. Data becomes decisions. Better Data. Better Decisions. Better Outcomes.

Use Cases

What the Model Generator answers

The Model Generator is as flexible as the questions you ask. Three real-world examples – each model starts with a prior, learns with every data point, and delivers individual answers:

Elite Sport

"Which of my athletes are suited for altitude training – and at what altitude?"

Prior Scientific models on Hb mass response to hypoxia, EPO response variability, iron metabolism

Data Haemoglobin course, ferritin, SpO₂ profile under load, VO₂max, current training status

Result Individual altitude recommendation, optimal duration, projected Hb increase per athlete

Elite Sport

"What training intensities are optimal for this 1500 m runner today?"

Prior Sport physiology models for middle-distance performance, lactate threshold research, periodisation models

Data VO₂max, lactate threshold, HRV, sleep quality, training history, subjective perceived exertion

Result Daily intensity zones, load–recovery balance, individual performance forecast

Tactical Forces

"What training keeps this firefighter operationally ready long-term?"

Prior Requirement profiles for firefighting operations, research on operational load, recovery models for shift work

Data Cardiorespiratory capacity, muscular endurance, body composition, recovery behaviour, duty load

Result Optimised training plan, physiological readiness indicator, early-warning signals

Medicine

"How can loading be individually managed after knee surgery?"

Prior Healing trajectories after knee interventions, biomechanical load models, clinical outcome data

Data Force curves, range of motion (ROM), pain score, oedema score, gait analysis

Result Daily individual loading plan, early risk warning, projected recovery trajectory

Technology

What sets the Model Generator apart

BAYESIAN MODELLING

Probabilistic predictive models that do not hide uncertainty but quantify it – with prior knowledge and continuous updating.

PRIOR KNOWLEDGE INTEGRATION

Scientific findings, clinical experience, and expert knowledge are incorporated from the very start – not only after hundreds of measurements.

m=1 VALIDATION

The model is continuously validated against this one individual – not "does this work for the group?" but "does this work for exactly this person right now?"

AI-POWERED COMPUTATION

Modern AI and computing power make complex Bayesian models possible in real time – what once required weeks of computation now takes seconds.

ALL LIFE HUB DATA SOURCES

Device Connector, wearables, Smart Forms, Smart API, lab – all data available in the LIFE HUB flows seamlessly into the model.

EXPERT GUIDANCE

Datico experts support you in building the prior – the critical bridge between scientific knowledge and your individual model.

Application Areas

Individualised models for every discipline

Altitude Training Suitability Endurance Training Management Firefighter Operational Readiness Rehabilitation Management Talent Identification Preventive Training Planning Biomarker Prognosis Therapy Progress Modelling Research Prediction Models Performance Diagnostics Interpretation Individual Nutrition Planning Sleep & Recovery Models

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