Personalized Body Weight Management System Using Monitoring Devices and Mathematical Models of Metabolism
Attempts to manage body weight are often unsuccessful or only temporary. This is, in part, due to antiquated dieting methods that attempt to address calorie consumption while ignoring metabolic and physical changes. It is becoming clear that personalized methods to manage body weight must be developed.
Scientists at the NIH have developed new methods for prescribing and monitoring personalized weight management interventions. The system uses validated mathematical models of human metabolism to set weight management goals and predict individual body weight outcomes in the context of changing metabolic needs and calorie consumption. The system uses repeated monitoring of a patient's body weight to assess progress and provide specific feedback to the patient and health care professional. Projected outcomes and body weight goals can be revised over time along with required prescription modifications to meet the body weight goals. The system is integrated into a network of one or more devices that may additionally monitor various physiological parameters, physical activities, food intake, or other behaviors. Such an enhanced personalized weight management program has great promise in the management of obesity.
|Potential Commercial Applications:||Competitive Advantages:||
||Integrated system provides feedback to health care professional and patient with more accurate predictors of weight loss outcomes. Combined with other devices, patient receives encouragement to stay on track.|
Kevin Hall (NIDDK)
US Application No. 61/592,325
US Application No. 13/754,058
Hall KD, et al. PMID 21872751
Hall KD and Chow CC. PMID 21562087
Hall KD. PMID 19934407
The NIDDK Laboratory of Biological Modeling is seeking statements of capability or interest from parties interested in collaborative research to further develop, evaluate or commercialize this technology. For collaboration opportunities, please contact Marguerite J. Miller at 301-496-9003 or email@example.com.
Michael Shmilovich , Esq.
NIH Office of Technology Transfer
OTT Reference No: E-063-2012/0