O° · O D I N · Biotech · Computer Vision · AI · ML · IR · Microbiology · Genetic Diagnostics
W H Y W E A G E
The underlying cause of aging and chronic disease is simply an issue of data loss. Modern scientific studies and AI modeling prove we age due to a loss of epigenetic information. Chromatin Modifiers and histone code (we call them "silencing proteins") relocation causes epigenetic changes in response to DNA damage. Information loss has been proven recently to be the chief reason of aging in yeast cells, eukaryotes and mice. In the event that DNA breaks (example, UV radiation), the "silencing proteins" relocate to help repair the DNA damage, and are no longer "silencing" specific portions of DNA, resulting in gene expression changes. Narrow AI results point to solutions with the SIRT2-3 proteins that "switch" and deacetylates (switches "off") the NLRP3 inflammasome and specific mTOR processes. In young cells, this repairing process is successfully reset upon completion of DNA repair. Aging occurs when the "silencing proteins" fail to correctly return to their home location, leading to gene expression changes and a loss of cellular identity.
" O D I N " O R G A N I Z A T I O N
ODIN is a life-sciences, computer vision AI research and development organization to increase our understanding of the microbiology that controls lifespan. ODIN is a narrow enhancing artificial intelligence to focus on the vast complexities of biology. ODIN uses diagnositics AI to devise interventions that enable people to lead longer and healthier lives, by moving healthcare from traditional, ‘one-size-fits-all’ medical solutions towards targeted treatments, personalised therapies,and uniquely composed longevity solutions. The potential for increased AI usage in bio-lifescience medicine is not just in a reduction of manual tasks and the freeing up of physician’s time, increasing efficiency and productivity - it also presents the opportunity for us to move towards more ‘precision medicine’.
Observe: Nanotechnlogy and biomedical sensors empowers ODIN's computer vision AI to provide significantly improved observational, real-time data.
Detect: The detection of particular microbiological elements and real-time data significantly augmented by computer vision AI provides higher accuracy of diagnosis.
Identify: ODIN AI deliberately and sensibly identifies those areas where automation could free up time and effort. The goal is a balance between an non-invasive, yet effective use of technology and AI to improve correct identification of microbiological, genetic and epigeneic processes for the user and medical professionals.
Neutralize: ODIN AI makes recommendations for additional tests, or custom treatment designed for the unique individual and their observed, detected and identified data and conditions.
O R I G I N
Odin originated on June 5th, 1998 in Berkeley, California. Lab research continued at the University of California, Berkeley on January of 2001, when Dr. Patrick Riley combined his UC Berkeley Plant Biology and Epigenetics labatory experience with his knowledge of computer science he acquired in graduate school and while working for the Berkeley Center for Law & Technology under Professor Pamela Samuelson. With the supervision of numerous professors and medical physicians at UC Berkeley, Dr. Riley's Elsevier-awarded nanobiotechnology, RFID and security research has been presented and published extensively in North America and Europe. Dr. Riley was a U.S. Department of State IIE Fulbright Fellow and has taught graduate courses at UC Berkeley, Ludwig-Maximilians-Universität München's Center for Digital Technology and Management in Munich, Germany, and ETH Zürich's EGG in Zurich, Switzerland. Since then, many modern clinical studies and ODIN's own specific methylation detection research, and ODIN's 2019-2020 human clinical study prove that aging is a data loss problem, similar to losing data off of a computer hard drive or dropped mobile phone. Mammalian DNA and epigenetic information can be recovered, and aging can be reversed, as shown in clinical trials using a noise-reducing, genetically targeted ODIN solutions.
The University of California at Berkeley's School of Information, and all its many convergencing fields and experts, is solving this data loss problem, and providing an exemplar for the world on how to live healthy, long lives by accessing your unique body's signals and repairing genetic and epigenetic processes using redundant "data backup" mechanisms.
Dr. Patrick Riley, Ph.D.
B.S. ('01), B.A. ('01), M.I.M.S. ('05), Ph.D. ('11)
University of California, Berkeley
U P D A T E S
ODIN scientific peer-reviewed publications, and most importantly, non-profit and commercial applications of ODIN will be released starting in 2020. Please send us an introductory note with your respective interest at the email address distributed above, or at odin.org.