At Dripdok, regenerative medicine is not a trend. It is a structured, data-driven discipline grounded in measurable biology, mathematical modeling, and clinical accountability.
Our protocols are built around the scientific framework of Dr. Ross Grant’s work on NAD⁺ biology, oxidative stress, and cellular repair — combined with the proprietary CLOSE Regenerative Index (CRI) developed by Dr. Anthony Close. Together, this creates a system that prioritizes physiology over hype and quantification over guesswork.
The Science We Follow: Dr. Ross Grant & NAD⁺ Biology
Dr. Ross Grant’s research emphasizes several key principles:
- NAD⁺ is central to mitochondrial energy production, DNA repair, immune modulation, and epigenetic regulation.
- NAD⁺ declines with age and oxidative stress.
- Both deficient and excessive NAD⁺ levels can be problematic.
- Clinical protocols must be structured, monitored, and research-informed.
These principles are reflected in our clinical models. For example, structured IV NAD⁺ protocols for neurodegenerative or cognitive conditions are delivered in phased dosing models with follow-up stabilization strategies .
Importantly, our approach aligns with Dr. Grant’s caution: NAD⁺ is not a “miracle molecule.” It must be measured, contextualized, and balanced within broader metabolic and inflammatory signaling systems.
We treat NAD⁺ as one component of a larger regenerative ecosystem — not a standalone solution.
The CLOSE Regenerative Index (CRI): Objective Tracking
The difference between Dripdok and many regenerative clinics is simple:
We measure everything.
The CLOSE Regenerative Index (CRI) is a weighted, multi-parameter biomarker framework integrating:
- Biological vs chronological age
- Inflammatory markers (CRP, IL-6, TNF-α)
- NAD⁺ levels & mitochondrial function
- Epigenetic age & methylation patterns
- Hormonal balance & metabolic efficiency
- Cognitive performance & recovery metrics
The CRI does not predict lifespan. It measures regenerative efficiency in real time .
This distinction matters.
Regenerative medicine should not promise immortality. It should identify dysfunction early, quantify intervention impact, and adjust protocols accordingly.
Data-Driven Clinical Application
We integrate:
- Quarterly bloodwork trend analysis
- Wearable data (HRV, sleep staging, heart rate trends)
- Epigenetic scoring
- Biostatistical modeling
For example, post-treatment tracking in exosome therapy demonstrated:
- Reduction in resting heart rate
- Decreased maximum heart rate during exertion
- 15% increase in total sleep duration
- 46% increase in deep sleep
- Statistically significant improvements in restorative metrics
This is how regenerative medicine should operate: pre-treatment baseline → intervention → quantified delta → forecast modeling.
Not testimonials. Not subjective feelings. Measurable change.
Protocol Integrity & Structured Implementation
Our regenerative therapies — whether NAD⁺, peptide protocols, hyperbaric oxygen, or exosome therapy — follow structured dosing models derived from translational research, pharmacokinetic data, and longitudinal clinical observation.
Each intervention is implemented using defined loading phases, therapeutic ranges, and response-adjusted maintenance models. NAD⁺ infusions are titrated according to metabolic tolerance, redox demand, and neurologic response rather than fixed-volume administration. Peptide protocols are structured around receptor kinetics, half-life, downstream signaling cascades, and desensitization thresholds. Hyperbaric oxygen exposure is prescribed according to pressure, duration, and cumulative oxidative load. Exosome therapy is applied within defined concentration ranges and tracked against inflammatory, mitochondrial, and recovery metrics.
Dosing is never arbitrary. It is calculated against physiology.
We model intervention timing based on biological objective — mitochondrial upregulation, neuroplastic signaling, tissue repair, or systemic anti-inflammatory modulation — and we adjust frequency according to measured response rather than calendar schedules.
This structured implementation allows for:
• Reduced adverse-response variability
• Optimized cellular uptake and signaling efficiency
• Prevention of receptor downregulation
• Objective identification of responders vs non-responders
• Data-informed protocol refinement
Regenerative medicine is not protocol repetition. It is dynamic biological calibration.
Every therapy is deployed with mathematical accountability, defined endpoints, and measurable adaptation.
Key principles we follow:
- Correct dose
- Correct frequency
- Correct drip rate
- Clear inclusion/exclusion criteria
- Objective pre- and post-measurement
Regenerative medicine without math is guesswork.
Why This Matters
Aging is not linear. It is a complex interaction of mitochondrial function, inflammatory signaling, stem cell activity, epigenetic drift, and hormonal balance.
The CRI framework allows us to detect:
- Emerging dysfunction
- Systemic stress amplification
- Early regenerative inefficiency
- True intervention response
This shifts medicine from reactive to proactive.
As outlined in the CRI model, aging follows chaotic biological trajectories, not predictable linear decline . Interventions can alter these trajectories — but only if monitored correctly.
The Dripdok Difference
Dripdok operates at the intersection of:
- Biochemistry
- Biostatistics
- Regenerative therapeutics
- Wearable-derived physiology
- Epigenetic modeling
We follow the science of NAD⁺ and cellular repair championed by Dr. Ross Grant.
We measure regenerative capacity using the CLOSE Regenerative Index.
We validate outcomes using objective data.
Regenerative medicine is powerful — but only when grounded in disciplined physiology and mathematical accountability.
That is the standard we uphold.
Dripdok
Data-driven regenerative medicine.
Measured. Modeled. Monitored.
NAD⁺, Aging & Mitochondrial Function (Dr. Ross Grant–Aligned Science)
1. NAD⁺ Decline With Age
- Braidy et al., 2011 – Age-related changes in NAD⁺ metabolism https://pubmed.ncbi.nlm.nih.gov/21637074/
2. NAD⁺ and DNA Repair (PARP & Sirtuins)
- Verdin, 2015 – NAD⁺ in aging, metabolism and neurodegeneration https://pubmed.ncbi.nlm.nih.gov/25621655/
3. NAD⁺ and Neurodegenerative Disease
- Hou et al., 2018 – NAD⁺ supplementation improves mitochondrial and stem cell function https://pubmed.ncbi.nlm.nih.gov/29686259/
4. NAD⁺ and Mitochondrial Biogenesis
- Canto et al., 2012 – The NAD⁺ precursor NMN enhances oxidative metabolism https://pubmed.ncbi.nlm.nih.gov/22278395/
🧬 Epigenetic Aging & Biological Age
1. Yale/Harvard DNA Methylation Aging Research
- Belsky et al., 2020 – Pace of Aging and risk of chronic disease https://pubmed.ncbi.nlm.nih.gov/32025085/
2. Horvath Epigenetic Clock
- Horvath, 2013 – DNA methylation age of human tissues https://pubmed.ncbi.nlm.nih.gov/24138928/
3. Epigenetic Reversal Evidence
- Fahy et al., 2019 – Reversal of epigenetic aging in humans https://pubmed.ncbi.nlm.nih.gov/31486082/
🔥 Inflammation & Aging (Inflammaging)
1. Chronic Inflammation and Aging
- Franceschi et al., 2000 – Inflammaging https://pubmed.ncbi.nlm.nih.gov/10885710/
2. IL-6, TNF-α and Mortality
- Ferrucci et al., 2005 – Inflammatory markers and aging https://pubmed.ncbi.nlm.nih.gov/15684102/
🧠 HRV, Recovery & Wearable Biometrics
1. HRV as a Marker of Autonomic Recovery
- Shaffer & Ginsberg, 2017 – HRV overview https://pubmed.ncbi.nlm.nih.gov/29342757/
2. Sleep & Deep Sleep Importance
- Xie et al., 2013 – Sleep clears metabolic waste from the brain https://pubmed.ncbi.nlm.nih.gov/24136970/
🧪 Exosomes & Regenerative Signaling
1. Exosomes in Regenerative Medicine
- Phinney & Pittenger, 2017 https://pubmed.ncbi.nlm.nih.gov/28286279/
2. MSC-Derived Exosomes & Tissue Repair
- Lai et al., 2010 https://pubmed.ncbi.nlm.nih.gov/20562942/
🧠 Parkinson’s, NAD⁺ & Mitochondrial Dysfunction
1. Mitochondrial Dysfunction in Parkinson’s
- Exner et al., 2012 https://pubmed.ncbi.nlm.nih.gov/22441014/
How These Support Dripdok’s Model
These studies collectively support:
- NAD⁺ as central to cellular repair and mitochondrial efficiency
- Inflammation as a major aging accelerator
- HRV and sleep as measurable recovery metrics
- Epigenetic methylation as a biological age marker
- Telomere dynamics as modifiable with intervention
- Exosomes as signaling modulators in tissue repair
This is the biological foundation behind:
- Structured NAD⁺ protocols
- CRI biomarker weighting
- Epigenetic tracking
- Wearable-based regenerative forecasting