- Proof of concept for clinical observability and controllability has been provided with simulation studies using clinical trial data [1, 2, 3, 4, 5, 6, and 7].
- A canonical representation of the metabolism has been created, allowing for intra and inter-individual comparison of metabolic parameters [5].
- Utilizing principles of indirect calorimetry and serial measurements of fat, weight, and energy balance estimates, we found at steady state energy balance status significant correlation between change of insulin resistance measured with HOMA-IR and changes of Rw-ratio, weight, fat weight, and fat oxidation fraction [7].
- Insulin resistance has a measurable and quantifiable relationship with the energy metabolism. Tracking and predicting insulin resistance and fat oxidation changes from serial measurements of weight and fat mass is possible [7].
- Some of ODI’s inventions have a US patent [8, 9].
- We found strong correlation ρ between our R- or Rw-ratio with insulin resistance measured with HOMA-IR (ρ= -0.6745, P=0.000024) [10]. Further, we found that our modeling of insulin resistance with R- or Rw-ratio can explain past insulin resistance changes and predict future changes depending on macronutrient intake and physical activity energy expenditure [2, 3]. Our extended model calculations [10] allow also for estimating the otherwise difficult or impossible to measure changes of state variables of the metabolism such as 24 h nonprotein respiratory quotient, utilized macronutrient energies, fat oxidation rate, carbohydrate oxidation rates, de novo lipogenesis, and adaptive thermogenesis.
References
[1] Őri Z. Parametric recursive system identification and self-adaptive modeling of the human energy metabolism for adaptive control of fat weight. Medical and Biological Engineering and Computing. 2017 May 1 (online 2016 Aug 03); Volume 55, Issue 5: 759–767. ISSN:0140-0118; EISSN:1741-0444; DOI: 10.1007/s11517-016-1552-3
[2] Ori Z, Ori I. Fighting weight problems and insulin resistance with the metabolic health monitor app for patients in the setting of limited access to health care in rural America. 2016 IEEE Global Humanitarian Technology Conference (GHTC); 2016 Oct 13-16; Seattle, WA. IEEE ISBN: 1-5090-2433-6, 978-1-5090-2433-9; 2017 Feb 16. p. 547-554. DOI: 10.1109/GHTC.2016.7857334. IEEE Xplore Digital Library
[3] Ori Z. Dynamic Indirect Measurement of the Daily Macronutrient Oxidation Rate, Changes of Fat and Fat Free Mass. Poster session presented at: Innovation at the Interface. 2015 BMES Annual Meeting; 2015 Oct 7-10; Tampa, FL.
[4] Ori Z, Ori I. Self-directed weight management by feedback from a self-adaptive metabolic health monitoring system. Ninth IEEE International Conference on Self-Adaptive and Self-Organizing Systems; 2015 Sept 21-25; Cambridge, MA. IEEE; 2015 Oct 29. p. 166 – 167. doi: 10.1109/SASO.2015.28. IEEE Xplore Digital Library
[5] Ori Z, Ori I. Canonical representation of the human energy metabolism of lean mass, fat mass, and insulin resistance. 2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON); 2016 Oct 20-22; New York, NY. IEEE; 2016 Dec 12. p. 1 – 8. ISBN: 1509014969, 9781509014965; EISBN: 1509014969, 9781509014965; DOI: 10.1109/UEMCON.2016.7777862. IEEE Xplore Digital Library
[6] Őri, Z: The Predictability of Insulin Resistance and Fat Oxidation Changes from Serial Measurements of Weight and Fat Mass. Annual Scientific Meeting in Sarasota, Florida of the Hungarian Medical Association of America, October 28-November 2, in Archives of the Hungarian Medical Association of America (ISSN 1070-0773), 2018, Vol. 26, No3, p 92.
[7] Ori, Z: Cyber-Physical System for Management and Self-Management of Cardio-metabolic Health. Published on-line and accepted for publication in “Type 2 Diabetes” by IntechOpen, DOI: http://dx.doi.org/10.5772/intechopen.84262
[8] Ori Z; Ori Diagnostic Instruments, LLC, assignee. "An Apparatus and Method for the Analysis of the Change of Body Composition and Hydration Status and for Dynamic Indirect Individualized Measurement of Components of the Human Energy Metabolism," U.S. Patent No.: 9,949,663 B1 Date: 4/24/2018, U.S. Patent No.: 10,716,491 B2 Date: 7/21/2020
[9] Ori Z; Ori Diagnostic Instruments, LLC, assignee. "Systems and methods for high frequency impedance spectroscopy detection of daily changes of dielectric properties of the human body to measure body composition and hydration status." U.S. Patent No.: 10,653,333 B2 Date: 5/19/2020
[10] Ori, Z: Metabolic Health Analysis and Forecasting with Mobile Computing. Published on-line and accepted for publication in “Mobile Computing” by IntechOpen, DOI: 10.5772/intechopen.88872
