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RFPM-001
multi-morbid older adult
Low stress tolerance; metabolic fragility; slow recovery
metabolic; mitochondrial
metformin
Improved recovery velocity; lower variance
High
Metabolic resilience deficit matches metformin fingerprint
renal impairment risk
renal labs; GI tolerance
Diagnosis secondary to fragility
Under 240 words.
profile+match+plan
RFPM-002
aging with inflammaging
High inflammatory tone; slow healing
immune; repair
rapamycin
Reduced inflammaging; faster recovery
Medium
Fragility axis aligns with mTOR modulation
infection risk
CBC; infection surveillance
Dose and timing critical
Under 240 words.
profile+match+plan
RFPM-003
depression with autonomic rigidity
Low HRV; sleep fragility
autonomic; neural
SSRI
Improved autonomic flexibility
Medium
Resilience gain via neural plasticity
emotional blunting
sleep; HRV; affect
Used for resilience not mood
Under 240 words.
profile+match+plan
RFPM-004
metabolic syndrome
Narrow intake tolerance; fatigue
metabolic
GLP1
Broader intake tolerance; energy stability
High
Fragility axis matches appetite control
GI intolerance
hydration; nausea
Resilience framing improves selection
Under 240 words.
profile+match+plan
RFPM-005
cardiac arrhythmia
Low exertion tolerance; autonomic fragility
autonomic
beta_blocker
Reduced stress-triggered instability
Low
Controls rhythm but narrows operating range
fatigue; bradycardia
exercise tolerance; HR
Control without resilience
Under 240 words.
profile+match+plan
RFPM-006
anxiety prone to dependence
High reactivity; rebound risk
stress response
benzodiazepine
Short-term calm; long-term fragility
Negative
Fragility amplified rather than buffered
dependence
avoid or restrict
Mismatch case
Under 240 words.
profile+match+plan

Resilience-Enhancing Pharmacopeia

Index README

Core premise

Some drugs work across diseases because they increase system capacity, not because they hit a target.

This collection defines, measures, and deploys that class of drugs.

Not pathology-first. Resilience-first.

What this pharmacopeia tests

Does a drug broaden the healthy basin

Which fragility axes it buffers

Who should receive it based on systemic vulnerability

These datasets do not ask “Does this drug treat condition X”

They ask “Does this drug make the system harder to break”

The Trinity

  1. Systemic Resilience Gain Profiling

Path ClarusC64/clinical-systemic-resilience-gain-profiling-v0.1

What it establishes

resilience gain under stress

operating range widening

recovery speed after perturbation

durability of benefit

Core output

Is this drug a capacity builder or just symptom control

This is the entry gate.

  1. Fragility Buffering Mechanism Mapping

Path ClarusC64/clinical-fragility-buffering-mechanism-mapping-v0.1

What it explains

which fragility axes are reinforced

how buffering is achieved

what tradeoffs are introduced

Axes include

inflammaging

mitochondrial reserve

autonomic flexibility

stress-response coherence

This separates true resilience from cosmetic calm.

  1. Resilience-First Indication and Patient Matching

Path ClarusC64/clinical-resilience-first-indication-patient-matching-v0.1

What it deploys

patient selection based on fragility profile

off-label use with structural justification

contraindication awareness

This enables prescribing by system need, not diagnosis.

How these sets connect to the wider Clarus ecosystem

These datasets integrate directly with

Fragility Amplification Detection

Basin Constraint Mapping

Therapeutic Niche Synthesis

Polypharmacy Coherence Matrix

Together they form a loop

Measure capacity

Explain buffering

Match patient

Monitor stability

What this enables that did not exist before

A defensible category of resilience-enhancing drugs

Safer off-label use grounded in structure

Early identification of patients at systemic risk

Drug development framed as basin widening, not target pursuit

This is not incremental improvement.

It is a new pharmacological lens.

Intended users

translational medicine teams

aging and longevity programs

complex chronic disease clinics

pharma discovery groups exploring non-target effects

regulators evaluating off-label rationale

Summary

These datasets answer three questions in order

Does the drug increase resilience

How does it do so

Who should receive it

If any one fails the chain breaks

If all three hold a new class of medicine becomes legible.

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