Smartphone Medicine in Solving Long COVID
Despite dozens of studies and the American NIH’s $1.6 billion expenditure on research, 18 million people in the US and 65 million globally still have long COVID. The symptoms range from neuropsychiatric to somatic, and the ongoing variant infections will further the toll. Like other unresolved chronic infections, the exact reasons for the chronicity and pathophysiology of long COVID remain obscure. Unlike the prevalent biochemical and molecular research on chronic infections and diseases, the presented model explores pathogens and afflicted organs on an ontologically deeper level (submolecular or electromagnetic), for their detection and treatment. The applied diagnostic and therapeutic technology in this domain resembles the physics of Smartphone medicine, by applying a scan-like diagnosis and water-imprinted therapeutic signals. The latter constitutes the nature of homeopathic and other production platforms. Based on the reported reversals of long COVID through this specific treatment, that matches the identified pathogens and afflicted organs, this pathology appears to have a multifactorial nature consisting of multisystemic malfunctions, infections, toxicological agents, and other pathogens. The approach does not requireknowledge of physics,is enrooted in prudent conventional medical knowledge, and can be implemented by physicians. Despite being ostracized as “alternative,” these interventions have substantial scientific support and are free from scientific conflicts, further emphasizing the need for proper studies to validate this approach. If verified, it may prompt the development of novel medical technologies, including physics-based vaccines and treatments.
Authors
- Savely Yurkovsky (ORCID: https://orcid.org/0000-0003-2908-6250)
Publication Details
- Journal
- International Journal of Clinical Case Reports and Reviews
- Published
- 2025-03-14
- DOI
- https://doi.org/10.31579/2690-4861/716
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00