| Cena: |
| Stanje: | Polovan bez oštećenja |
| Garancija: | Ne |
| Isporuka: | Pošta CC paket (Pošta) Lično preuzimanje |
| Plaćanje: | Tekući račun (pre slanja) PostNet (pre slanja) Lično |
| Grad: |
Novi Sad, Novi Sad |
Godina izdanja: Ostalo
ISBN: Ostalo
Oblast: Alternativna medicina
Jezik: Engleski
Autor: Strani
TG113) David A. Steenblock, M.S., D.O., is an osteopathic physician known for his work in regenerative medicine and his advocacy for umbilical cord stem cell therapy.
The Book: `Umbilical Cord Stem Cell Therapy`
Steenblock co-authored the book Umbilical Cord Stem Cell Therapy: The Gift of Healing from Healthy Newborns with Anthony G. Payne.
Purpose: The book explores the science and clinical potential of human umbilical-cord stem cells (hUCSCs) as a safer and more potent alternative to embryonic or adult-derived stem cells.
Conditions Addressed: It details the use of these cells for treating `intractable` diseases such as multiple sclerosis (MS), amyotrophic lateral sclerosis (ALS), stroke, cerebral palsy, and degenerative eye disorders.
Clinical Approach and Research
Steenblock Research Institute: Based in San Clemente, California, Steenblock conducts research and offers therapies aimed at neuro-rehabilitation and chronic disease management.
Early Trials: In 2004, Steenblock conducted a pilot study in Mexico involving children with cerebral palsy, reporting improvements in mobility and cognitive function after umbilical cord stem cell transplants.
Cell Potency: His work emphasizes that hUCSCs are `primitive` and highly active, often outperforming the patient`s own (autologous) stem cells, which decrease in number and effectiveness with age.
Medical Context (2026)
FDA Status: While cord blood stem cells are FDA-approved for specific blood and immune disorders (e.g., leukemia), many other applications mentioned in Steenblock`s work remain experimental or are performed in clinical trial settings.
Patient Impact: Patients often seek out Steenblock`s clinic for conditions where conventional treatments have failed, though some critics argue that the field requires more standardized large-scale data.