Private Research & Collaborations
Project
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Partner
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Development of a multi-omic aging predictor
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Dr. Jessica Lasky-Su (Brighams and Womens Hospital, Harvard University), Seer Inc.
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Impact of tobacco, alcohol, and marijuana on genome-wide DNA methylation and its
relation with common diseases
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Natalia Carerras, Dr. Juan Gonzalez (IS Global - Spain) |
Investigating the association between epigenetic age and spinal cord frailty
outcomes
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Dr. Michael Safaee, Dr. Christopher Ames, Dr. Justin Scheer (UCSF) |
Studying the longitudinal effects of Epigenetic Age Acceleration and genome-wide DNA
methylation by senolytictreatment Dasatiniband Quercitin.
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Dr. Andrew Teschendorff, Dr. Albert Higgins-Chen |
T-Cell Prediction Algorithm of Senescent Cell Burden using methylation in paired
nanostring data
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Ohio State University |
Deep learning and penalized regression chronological age predictor
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Developed from TruDiagnostic private data |
Blood type in resis type predictor model
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Developed from TruDiagnostic private data |
Anti-Aging analysis of very small embryonic-like stem cells
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Dr. Todd O |
Copy number varient genetic analysis prediction from paired methylation data
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Developed from TruDiagnostic private data |
Trudiagnostic covariate in age association analysis
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Developed from TruDiagnostic private data |
Proteomic risk scores for disease with anti-aging biobank cohort.
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Harvard University |
Proteomic aging clock development using untargeted proteomics, using the anti-aging
biobank cohort.
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Harvard University |
Umbilicle cord stem cell infusions and their effect on epigenetic aging
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Dr. Meglin & Dr. Gilani |
Investigating the effect of carnivore and vegan diets in twins
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Stanford University |
Height prediction algorithm
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Developed from TruDiagnostic private data |
Telomere length prediction algorithm
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Developed from TruDiagnostic private data |
Body fat and muscle mass percentage predictor through epigenetic methylation
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Developed from TruDiagnostic private data |
Genome-Wide association analysis of methylation marks correlated with orthepedic
outcomes.
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Dr. Gruenberger |
Associations between biological aspects of aging and psychological dispositions,
cognitive, and emotional aspects of decision-making
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University of Pennsylvania |
Associations of Body Composition and Physical Activity Level With Multiple Measures
of Epigeneteic Age acceleration
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UCLA |
Chronologically trained t-cell aging clock
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Ohio State University |
Six-month analysis of epigenomic effects of proprietary supplement NAD3
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The Center for Applied Health Sciences and Auburn University |
Design of human imprintome array and validation in alzheimer's cohort
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North Carolina State University |
Correlation between glycanage and epigenetic biological aging algorithms
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GlycanAge |
DNAmFitAge: Biological Age Indicator Incorporating Physical Fitness
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Read
Preprint |
Investigation of AC-11® supplementation in reversing epigenetic markers of
Biological Aging including those related to Telomere Length
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Optigenex |
The Impact of a Polyphenol-Rich Supplement on Epigenetic and Cellular Markers of
Immune Age
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Big Bold Health |
Hyperbaric Dosage Analysis Effect Of Various PO2 Exposures: Hyperoxia-Hypoxia
Paradox On Stem Cell Mobilization, Cell Signaling, Inflammation, Epigenetics &
Cell Regeneration
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Dr. Jason Sonners |
Advanced Metabolic Reset Program Follow-on Study
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Quicksilver |
The Impact of Fasting Diet Program and Calorie Mimetic Supplements on Epigenetic
Aging
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Dr. Goel |
Impact of Ketamine on Epigenetic Age (IKEA)
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Wild Health |
A Phase II Study to Evaluate the Regenesis Protocol on Epigenetic Alterations upon
the Hallmarks of Aging and An Analysis of its Effects on Key Biomarkers of Cellular
Aging
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RMI |
The Impact of a Human Breastmilk Supplement on Epigenetic and Cellular Markers
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Adventa Bio |
The Impact of a Natural Ingredients and App based Intervention Targeting the Nine
Hallmarks of Aging on DNA methylation
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SRW |
Nutritarian Diet & Longevity: 50:50
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Northern Arizona University |