Led by Robert Auger, MD

Clinical Trials, Outcomes Science, Multicenter Validation, and Translational Evidence

The NSMS National Clinical Validation & Evidence Center (aValidate™) is an advanced clinical research and evidence-generation center integrating clinical trials, prospective human studies, outcomes science, multicenter validation, real-world evaluation, and translational evidence generation for next-generation diagnostics, digital health technologies, medical devices, AI-enabled systems, and precision therapeutics.

Led by Robert Auger, MD, aValidate™ develops and executes rigorous clinical validation programs designed to determine whether emerging biomedical technologies are safe, effective, clinically meaningful, generalizable, and ready for translation into real-world healthcare environments.

The Center provides the clinical evidence backbone connecting technology development with human validation, clinical outcomes, regulatory evidence, and healthcare implementation.

aValidate™ bridges:

• Clinical Trials

• Prospective Human Studies

• Clinical Validation

• Multicenter Research

• Outcomes Science

• Digital Biomarker Validation

• Diagnostic Validation

• Therapeutic Validation

• Medical Device Evaluation

• AI Clinical Validation

• Real-World Evidence

• Translational Medicine

Mission

To establish rigorous, reproducible, and clinically meaningful evidence that determines whether emerging biomedical technologies improve human health across diverse patients, clinical sites, and real-world environments.

aValidate™ transforms:

Technology → Human Evidence → Clinical Validation → Multicenter Reproducibility → Outcomes → Translation

Core Clinical Programs

Clinical Trials & Prospective Human Studies

aValidate™ designs and executes clinical studies that translate emerging technologies from technical feasibility into human evidence.

Core capabilities include:

• Clinical protocol development

• Feasibility studies

• Pilot clinical studies

• Prospective observational studies

• Interventional clinical trials

• Controlled clinical studies

• Pragmatic trials

• Longitudinal studies

• Remote and decentralized studies

• Home-based clinical research

• Participant recruitment and retention

• Clinical endpoint assessment

Studies are designed around predefined hypotheses, measurable endpoints, appropriate comparators, and clinically meaningful outcomes.

Multicenter Clinical Validation

Technologies that perform successfully at a single research site must demonstrate reproducibility across institutions, investigators, patient populations, and clinical environments.

aValidate™ establishes multicenter validation frameworks incorporating:

• Multisite protocol harmonization

• Standardized enrollment criteria

• Common clinical endpoints

• Common Data Elements

• Site qualification

• Investigator training

• Standard operating procedures

• Cross-site quality control

• Centralized data coordination

• Inter-site reproducibility analysis

• Population heterogeneity assessment

• Independent performance validation

This approach evaluates whether technologies remain reliable beyond the environment in which they were originally developed.

Clinical Outcomes Science

aValidate™ evaluates whether technological and physiological improvements translate into outcomes that matter to patients and clinicians.

Outcomes may include:

• Clinical symptom improvement

• Physiologic improvement

• Functional outcomes

• Patient-reported outcomes

• Quality of life

• Treatment response

• Treatment durability

• Healthcare utilization

• Safety and tolerability

• Adherence

• Patient experience

• Clinician experience

• Longitudinal health outcomes

The objective is to connect measurable technological performance with meaningful human benefit.

Diagnostic & Digital Biomarker Validation

aValidate™ provides rigorous clinical validation of emerging diagnostic measurements, physiologic biomarkers, and digital biomarkers.

Validation capabilities include:

• Reference-standard comparison

• Analytical-to-clinical validation

• Sensitivity and specificity assessment

• Positive and negative predictive performance

• Repeatability and reproducibility

• Test-retest reliability

• Cross-device validation

• Cross-site validation

• Population subgroup performance

• Longitudinal stability

• Clinical utility assessment

• Outcome association

These studies determine whether a measurement is not merely technically detectable, but clinically interpretable and useful.

Therapeutic & Closed-Loop System Validation

aValidate™ evaluates therapeutic systems ranging from conventional interventions to AI-enabled adaptive and closed-loop technologies.

Programs assess:

• Treatment efficacy

• Treatment effectiveness

• Dose-response relationships

• Physiologic response

• Patient-specific response

• Treatment durability

• Adaptive treatment performance

• Closed-loop control performance

• Safety and tolerability

• Human factors

• Adherence

• Clinical workflow integration

For adaptive technologies, validation extends beyond the therapeutic modality itself to evaluate the complete sense → decide → treat → measure response → adapt cycle.

AI & Digital Health Clinical Validation

AI-enabled clinical technologies require validation across patients, institutions, workflows, devices, and changing real-world conditions.

aValidate™ evaluates:

• Algorithm performance

• Clinical accuracy

• Generalizability

• External validation

• Prospective performance

• Subgroup performance

• Human-AI interaction

• Clinical utility

• Model stability

• Workflow integration

• Failure modes

• Real-world performance

Clinical validation is designed to determine not simply whether an algorithm predicts accurately, but whether its use can support safe and meaningful clinical decisions.

Real-World & Longitudinal Evidence

aValidate™ extends evaluation beyond controlled studies into real clinical and home environments.

Programs include:

• Real-world evidence studies

• Longitudinal follow-up

• Remote patient monitoring

• Home-based validation

• Post-deployment performance evaluation

• Patient-reported outcomes

• Treatment adherence

• Healthcare utilization

• Implementation outcomes

• Long-term safety monitoring

• Effectiveness evaluation

• Performance surveillance

This creates a continuous evidence pathway from early human feasibility through clinical validation and real-world deployment.

Clinical Technology Platforms

aValidate™: Clinical validation and evidence generation

aTrials™: Prospective clinical trials and human studies

aMultiSite™: Multicenter research and external validation

aOutcomes™: Clinical, functional, physiologic, and patient-centered outcomes

aEvidence™: Integrated clinical evidence generation and translation

aRealWorld™: Real-world and longitudinal evidence

aEndpoints™: Clinical endpoint development, harmonization, and assessment

Clinical Validation Network: Coordinated infrastructure for standardized multicenter evaluation of emerging biomedical technologies

Integrated NSMS Clinical Evidence Ecosystem

aValidate™ serves as the human clinical evidence and validation backbone connecting NSMS discovery, engineering, informatics, sensing, digital twin, neurotechnology, laboratory, and autonomous clinical platforms.

aSensors™ → aValidate™
Clinical validation of physiologic measurements, wearable technologies, and digital biomarkers

aEyes™ → aValidate™
Diagnostic accuracy, imaging endpoints, and clinical performance validation

aLab™ → aValidate™
Validation of laboratory diagnostics, biomarkers, and translational assays

aNeuro™ → aValidate™
Human evaluation of neurophysiology, neuromodulation, treatment response, and safety

aTwins™ → aValidate™
Prospective evaluation of patient-specific predictions and treatment-response models

aData™ ↔ aValidate™
CDEs, interoperable clinical data, evidence standards, data quality, and outcomes integration

aVerify™ ↔ aValidate™
Requirements traceability, verification evidence, validation protocols, and objective evidence

DrRobots™ → aValidate™
Clinical evaluation of autonomous diagnostics, robotic intervention, and human-machine healthcare systems

Together, these capabilities establish a continuous translational pathway:

Discover → Engineer → Verify → Test in Humans → Validate → Demonstrate Outcomes → Generalize → Translate

R&D / Clinical Domains

• Clinical Trials

• Clinical Research

• Clinical Validation

• Multicenter Studies

• Outcomes Research

• Digital Biomarker Validation

• Diagnostic Validation

• Therapeutic Validation

• Medical Device Evaluation

• AI Clinical Validation

• Digital Health

• Precision Medicine

• Prospective Human Studies

• Real-World Evidence

• Longitudinal Research

• Patient-Reported Outcomes

• Human Factors

• Clinical Effectiveness

• Translational Medicine

• Evidence Generation

Leadership

Robert Auger, MD
Director, NSMS National Clinical Validation & Evidence Center (aValidate™)
Clinical Validation Lead

Robert Auger, MD, leads NSMS clinical validation, clinical trials, outcomes assessment, and multicenter evidence-generation activities.

His work focuses on translating emerging biomedical technologies into rigorous human evidence through prospective clinical studies, standardized endpoints, multicenter evaluation, and clinically meaningful outcomes.

Under his leadership, aValidate™ provides the clinical evidence infrastructure required to determine whether emerging diagnostics, digital biomarkers, medical devices, AI systems, and therapeutic technologies are safe, reproducible, generalizable, clinically meaningful, and ready for broader healthcare translation.