News Column

Patent Issued for Methods and Systems for Generation of Personalized Health Plans

July 7, 2014



By a News Reporter-Staff News Editor at Clinical Trials Week -- According to news reporting originating from Alexandria, Virginia, by NewsRx journalists, a patent by the inventors Blander, Gil (Lexington, MA); Reich, Christian (Cambridge, MA); Lester, David (Kew, AU), filed on July 26, 2011, was published online on June 24, 2014 (see also Segterra Inc.).

The assignee for this patent, patent number 8762167, is Segterra Inc. (Lexington, MA).

Reporters obtained the following quote from the background information supplied by the inventors: "Current annual health care costs in the US are more than $3 trillion dollars and expected to increase over the next ten years to over $4 trillion. As of today, more than half of all Americans suffer from one or more chronic diseases and more than 75% of health care spending is to treat chronic conditions including cardiovascular disease and stroke, cancer, obesity, arthritis and diabetes. These serious diseases are often treatable but not always curable. Thus, an even greater burden befalls Americans from the disability and diminished quality of life resulting from chronic disease. These increased healthcare costs do not include costs due to loss of productivity resulting from chronic disease. The World Health Organization has estimated that eliminating certain major risk factors for chronic disease would result in an 80% reduction in the instances of heart disease, stroke, and type-2 diabetes, and a more than 40% reduction in cancer cases. These risk factors are linked to modifiable health behaviors that, if changed, can dramatically reduce the risk and prevalence of chronic disease.

"A Center for Disease Control report identified four modifiable health risk behaviors that are responsible for much of the illness, suffering, and early death related to chronic diseases: 1) lack of physical activity, 2) poor nutrition, 3) tobacco use, and 4) excessive alcohol consumption. For example, frequent physical activity has been shown to increase longevity, help control weight, reduce risks for cardiovascular disease, type 2 diabetes, metabolic syndrome, and some cancers, strengthen bones and muscles, improve mental health and mood, improve one's ability to perform daily activities, and to prevent falls among older adults. Balanced nutrition can help lower the risk for many chronic diseases, including heart disease, stroke, some cancers, diabetes, and osteoporosis. For example, it has been established that the increased consumption of fruits and vegetables helps reduce the risk for heart disease and certain cancers.

"The U.S. Department of Health and Human Services recognized that preventive medicine and evidence-based medicine will become an important part of the healthcare system, and established the U.S. Preventive Services Task Force agency to oversee, define and implement a variety of preventive medicine measures.

"The role of exercise and physical activity in the prevention and treatment of cardiovascular disease is well established and its significance as a preventive measure is widely recognized. In addition, the correlation between athletic performance, body composition, and nutrition status has also been firmly established. The effect of balanced nutrition and its effect on the health of the population has also been subject of many studies. Further, population studies have identified certain blood/plasma biomarkers that are related to balanced nutrition and metabolism, as well as the presence of vitamins and micronutrients such as vitamin D, Iron, selenium, copper and zinc. The present invention leverages existing population-based evidence and provides a new, personalized approach to nutrition and exercise to improve health and wellness and prevent chronic diseases."

In addition to obtaining background information on this patent, NewsRx editors also obtained the inventors' summary information for this patent: "The present invention provides a computer-implemented and web-based personalized nutrition and exercise program and comprehensive wellness assessment. A unique panel of biomarkers from the user's blood or other biological specimen (such as: urine, buccal and nasal samples, exhalants, stool, tissues, organs, hair, nail clippings, or any other cells or fluids--whether collected for research purposes or as residual specimens from diagnostic, therapeutic, or surgical procedures) or devices capturing biological/biomedical activities, is assessed and provides information regarding the presence of vitamins, minerals, nutrients, cytokines and other messenger molecules. By biomarker we are inferring a biomarker, or biological marker, which is in general a substance used as an indicator of a biological state. It is a characteristic that is objectively measured and evaluated as an indicator of normal or impaired biological processes responses to an intervention of food, lifestyle or exercise. This biomarker information is paired and collected along with personal information about nutrition habits, wellness, physical fitness, and exercise regimens. Subsequently, an expert IT systems analyses process, derived from systems biology and artificial intelligence, is used to evaluate the collected data The expert analytic system includes a knowledgebase and an inference engine that provides optimal food, supplement, life style, and exercise recommendations for an individual according to their personal biology, physiology and personal habits.

"The biomarker levels are collected through a blood test or test of other biological specimen(s) as defined above. Responses to a questionnaire provide information about the demographic, nutritional and physical habits of the individual. The web-based application provides the individual with her personalized optimal nutrition, supplement, life style, and physical training regime by matching her profile with the knowledgebase of facts about known relationships among biological specimen, demographic, and phenotypic data manually derived from scientific publications, databases and clinical trials.

"Therefore, in one aspect of the present invention, a system facilitates the derivation of a personalized health and fitness plan for an individual. The system includes a data storage device for storing an electronic knowledgebase of medical and health data from various sources as well as for storing a set of questions. The system also includes an inference engine for a subset of the set of questions to send to the individual based on the knowledgebase and biomarker data gathered for the individual. The inference engine further generates lifestyle recommendations for the individual based on the biomarker data and the answers to the subset of questions. The system further enables transmission of these recommendations to the individual.

"In some implementations, the system contains biomarker data for the same biomarkers and individual from different points in time. In further implementations, the computerized comparison includes comparison of these two different sets of biomarker data.

"In certain embodiments, the biomarker data is gathered from blood or some other biological specimen of the individual. In certain embodiments, the system includes creatine kinase or ferritin as biomarkers. In other embodiments, the questions presented to the individual include questions about demographic data or questions about athletic activity. In still other embodiments, the lifestyle recommendations include dietary recommendations or exercise recommendations.

"In another aspect of the present invention, a computer-implemented method facilitates the derivation of a personalized health and fitness plan for an individual. The method includes collecting biomarker data for the individual and determining questions to present to the individual based on a comparison between that biomarker data and an electronic knowledgebase of medical and health data from various sources. The method also includes presenting the questions to the individual and receiving the answers. The method further includes generating lifestyle recommendations for the individual based on the biomarker data and answers to questions. The method finally includes transmitting the recommendations to the user.

"The method may, in some cases, include collecting a second set of biomarker data from the individual for the same biomarkers and comparing these two sets of biomarker data to discern the difference. In certain embodiments, the biomarker data is gathered from blood or some other biological specimen of the individual. In certain embodiments, the system includes creatine kinase or ferritin as biomarkers. In other embodiments, the questions presented to the individual include questions about demographic data or questions about athletic activity. In still other embodiments, the lifestyle recommendations include dietary recommendations, supplements recommendations or exercise recommendations. In some embodiments the biomarkers include biometric measurements. Examples of biomarkers are selected from, but not limited to: Blood pressure, heart rate, exhaled volume, body temperature, perspiration rate, skin conductivity. In some embodiments of the invention biomarker characteristics and profiles collected may be indicative of a disease process and could be used to detect such processes. Examples of diseases are selected but not limited to metabolic diseases, cancer, anemia, cardiovascular diseases, diabetes. In some embodiments biomarkers will comprise SNP biomarkers (DNA based). The most useful biomarkers in this group are SNPs that are associated with metabolism and energy.

"It is to be understood that both the foregoing general description of the invention and the following detailed descriptions are exemplary, but are not restrictive, of the invention."

For more information, see this patent: Blander, Gil; Reich, Christian; Lester, David. Methods and Systems for Generation of Personalized Health Plans. U.S. Patent Number 8762167, filed July 26, 2011, and published online on June 24, 2014. Patent URL: http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.htm&r=1&f=G&l=50&s1=8762167.PN.&OS=PN/8762167RS=PN/8762167

Keywords for this news article include: Cancer, Diabetes, Oncology, Cardiology, Segterra Inc, Chronic Disease, Disease Attributes, Pathologic Processes, Cardiovascular Diseases.

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC


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Source: Clinical Trials Week


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