Dr Anthony Close
Regenerative Director at SelfAbout
Dr. Anthony H. Close is an American physician-scientist and regenerative medicine pioneer with over 18 years of clinical experience in pain management, physical medicine, and applied biotechnology. With dual doctorates and advanced training from Harvard and MIT, he blends clinical rigor with scientific innovation to create protocols grounded in measurable outcomes.
He is the founder of LabMe.ai, an AI-driven blood biomarker platform, and DripDok, a mobile regenerative clinic serving Southeast Asia. His proprietary Close Regenerative Index (CRI) framework sets a new standard in personalized care by tracking multi-dimensional biometrics to evaluate therapeutic efficacy.
A former senior lecturer at Massey University, Dr. Close is also a trauma survivor. After a non-union C1 fracture and a stroke, he used his own regenerative protocols to recover—deepening his commitment to evidence-based, empathetic care.
Through his podcasts The Regenerative Blueprint and Data-Driven Longevity, he educates practitioners and patients alike on topics such as NAD+, exosomes, peptides, and ethical longevity strategies.
Dr. Close is a vocal critic of pseudoscience in the regenerative space and advocates for medical transparency, patient empowerment, and data-driven healing. His clinical ethos is clear: healing should be provable, personal, and rooted in integrity.
About
Dr. Anthony H. Close is an American physician-scientist and regenerative medicine pioneer with over 18 years of clinical experience in pain management, physical medicine, and applied biotechnology. With dual doctorates and advanced training from Harvard and MIT, he blends clinical rigor with scientific innovation to create protocols grounded in measurable outcomes.
He is the founder of LabMe.ai, an AI-driven blood biomarker platform, and DripDok, a mobile regenerative clinic serving Southeast Asia. His proprietary Close Regenerative Index (CRI) framework sets a new standard in personalized care by tracking multi-dimensional biometrics to evaluate therapeutic efficacy.
A former senior lecturer at Massey University, Dr. Close is also a trauma survivor. After a non-union C1 fracture and a stroke, he used his own regenerative protocols to recover—deepening his commitment to evidence-based, empathetic care.
Through his podcasts The Regenerative Blueprint and Data-Driven Longevity, he educates practitioners and patients alike on topics such as NAD+, exosomes, peptides, and ethical longevity strategies.
Dr. Close is a vocal critic of pseudoscience in the regenerative space and advocates for medical transparency, patient empowerment, and data-driven healing. His clinical ethos is clear: healing should be provable, personal, and rooted in integrity.
About
Dr. Anthony H. Close is an American physician-scientist and regenerative medicine pioneer with over 18 years of clinical experience in pain management, physical medicine, and applied biotechnology. With dual doctorates and advanced training from Harvard and MIT, he blends clinical rigor with scientific innovation to create protocols grounded in measurable outcomes.
He is the founder of LabMe.ai, an AI-driven blood biomarker platform, and DripDok, a mobile regenerative clinic serving Southeast Asia. His proprietary Close Regenerative Index (CRI) framework sets a new standard in personalized care by tracking multi-dimensional biometrics to evaluate therapeutic efficacy.
A former senior lecturer at Massey University, Dr. Close is also a trauma survivor. After a non-union C1 fracture and a stroke, he used his own regenerative protocols to recover—deepening his commitment to evidence-based, empathetic care.
Through his podcasts The Regenerative Blueprint and Data-Driven Longevity, he educates practitioners and patients alike on topics such as NAD+, exosomes, peptides, and ethical longevity strategies.
Dr. Close is a vocal critic of pseudoscience in the regenerative space and advocates for medical transparency, patient empowerment, and data-driven healing. His clinical ethos is clear: healing should be provable, personal, and rooted in integrity.