Intervention Workflow

One Intervention At A Time, Measured Against A Clear Score

A practical optimization plan for moving from the current regimen toward a local maximum: keep the baseline stable, add one intervention, remeasure, and only keep climbing when the data improve.

Measured Function Score Validation Protocol Saved Submissions Back to Mito Map

Branch Details

Choose Among Similar-Outcome Routes

The baseline comes from your latest Energy Score. The projected local optimum updates after each branch choice so the next intervention menu depends on the route you picked.

Projected Path

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We are building a recommended climb from your current stack to a better local optimum.

Choose Your Route

Branch Explorer

We are loading the first set of similar-outcome intervention branches from your current stack.

Current Interventions

We are loading the interventions already in place for this patient.

Cycle 1

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Your next-step choices will appear here once the simulator finishes.

Start

Freeze The Baseline

1 stable regimen

Keep the patient’s current stack fixed long enough to establish a believable starting point before introducing any new variable.

Measure

Use The Same Bundle

1 protocol

Use the Precision Mito validation bundle each cycle so the score change reflects the intervention rather than a measurement change.

Optimize

Climb By Increments

1 change at a time

Keep interventions only when the Energy Score improves meaningfully and the burden, tolerability, and safety remain acceptable.

Core Logic

The Optimization Loop

The intervention plan is best framed as gradient ascent on modeled energy. Each cycle asks one question: did the next intervention move the Energy Score upward enough to justify testing and keeping it?

Step 1

Baseline

Keep the current regimen stable. Record the current Energy Score and note the current stack and confounders.

Step 2

Add One Intervention

Introduce a single new intervention or a single dose/intensity change, not a bundle.

Step 3

Run The Interval

Hold the new regimen for a fixed test window so the result has time to emerge.

Step 4

Re-Measure

Repeat the same protocol: grip if used, 5x sit-to-stand, baseline fatigue, and post-test fatigue.

Step 5

Decide

Keep, retest, or remove the intervention based on score change, consistency, burden, and safety.

Practical rule: only one meaningful intervention change per cycle. Otherwise the direction of improvement becomes uninterpretable.

What To Optimize

Primary Score And Guardrails

The Energy Score becomes the main optimization target, but you should still inspect burden, tolerability, and real-world follow-up testing before deciding to keep a change.

Primary target Energy Score. This is the number being optimized across cycles, using the same saved mito map context each time.

Performance signal Grip strength and 5x sit-to-stand capture whole-body and strength-related movement capacity.

Burden signal General baseline fatigue shows recent usual state, while post-5x sit-to-stand fatigue reflects exertional cost.

Guardrails Track safety, side effects, adherence burden, cost, pain flares, sleep disruption, and major confounders alongside the score.

Decision Rules

Keep, Retest, Or Remove

Use the score delta as the anchor, but keep the interpretation operational rather than rigid. The goal is clean signal detection, not false precision.

Keep If the Energy Score improves meaningfully, the gain is directionally consistent, and the intervention remains tolerable and feasible.

Retest If the score nudges upward but the change is small, noisy, or potentially explained by confounders such as illness, poor sleep, or unusual exertion.

Remove Or Reconsider If the score falls, exertional fatigue worsens disproportionately, or the intervention adds too much cost, burden, or risk for the benefit observed.

Suggested starting rule set: `+5 or more` supports keeping, `+2 to +4.9` supports provisional retesting, and `below +2` should be treated cautiously unless the clinical signal is unusually strong.

Starter Cadence

A 12-Week Intervention Ladder

Cycle	Action	Measurement	Decision
Weeks 0-2	Current regimen only	Collect baseline Energy Score and document confounders.	Establish the initial reference point.
Weeks 3-4	Add intervention A	Repeat the full bundle at the end of the interval.	Keep, retest, or remove A.
Weeks 5-8	If A stays, add intervention B	Measure again after the same standardized interval.	Keep, retest, or remove B.
Weeks 9-12	If A+B stay, add intervention C	Run the same protocol, same time-of-day window, same scoring rules.	Stop escalating when gains flatten or burden rises.

Endpoint

What Counts As A Local Maximum

Each added intervention produces only trivial score gain.
Performance improves but baseline or post-test fatigue worsens enough to offset the benefit.
The intervention stack becomes too costly, complex, or burdensome relative to the score gain.
The patient reaches a plateau where new changes mostly introduce noise rather than consistent improvement.

Reaching a local maximum does not mean the patient is fully optimized forever. It means the current branch of changes has probably been exhausted, and the next worthwhile move may require a different intervention class, a longer interval, or a cleaner baseline reset.