WO2002037232A2 - Method of assisting individuals in lifestyle control programs conducive to good health - Google Patents
Method of assisting individuals in lifestyle control programs conducive to good health Download PDFInfo
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- WO2002037232A2 WO2002037232A2 PCT/US2001/048668 US0148668W WO0237232A2 WO 2002037232 A2 WO2002037232 A2 WO 2002037232A2 US 0148668 W US0148668 W US 0148668W WO 0237232 A2 WO0237232 A2 WO 0237232A2
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- lifestyle
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/70—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
- G16Z99/00—Subject matter not provided for in other main groups of this subclass
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/63—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H70/00—ICT specially adapted for the handling or processing of medical references
Definitions
- the present invention relates to a method of assisting individuals in lifestyle control programs, and particularly to assisting individuals in lifestyle control programs conducive to good health.
- the diet logger may be a PDA (personal digital assistant, or personal dieting assistant); however, other portable electronic devices or systems may be used.
- PDA personal digital assistant, or personal dieting assistant
- a lifestyle logger (or lifestyle monitor) has one or more of the following functionalities: diet logger, activity logger, environmental logger, and/or physiological logger.
- PDA is used herein to refer to a lifestyle logger (e.g. a diet logger), a physiologic monitor
- the PDA may be in communication with, or receive data from, the user, via any method, including manual data entry (but preferably using wireless communication such as Bluetooth or IR methods, or memory card transfer), various sensors, transducers, and/or supplemental devices so as to obtain information needed for lifestyle logging.
- metabolic rate may be obtained using an indirect calorimeter, and the data entered into the PDA as part of a weight control program.
- the PDA may also download information from external databases or devices via a communications network such as the Internet.
- An object of the present invention is to provide a method utilizing such a PDA, or other personal logging device, for assisting an individual in a lifestyle control program conducive to good health.
- a method of assisting an individual in a lifestyle control program conducive to good health comprising: storing in a database lifestyle data from a statistically large group of persons, and the correlation of such lifestyle data to good health; collecting, in a personal logging device for the person, corresponding lifestyle data of the respective person; feeding the collected lifestyle data from the personal logging device of the person to the database; performing a statistical analysis of the lifestyle data collected from the respective person, with respect to the lifestyle data of the group stored in the database, to produce an output including correlations of the lifestyle data collected from respective persons to good health; and feeding back to the person health-promoting information based on the correlations.
- the health-promoting information is fed back to the individual via the personal logging device of the individual.
- the database is located at a remote location from the personal logging device and communicates therewith via a communication channel, such as the Internet.
- the lifestyle data collected in the personal logging device includes diet data as to the food types and quantities consumed or to be consumed by the respective person.
- diet data as to the food types and quantities consumed or to be consumed by the respective person.
- a variety of methods can be used to record the food types and food quantities eaten, for example, a barcode reader, optical character recognition, manual entry, imaging, spectroscopic imaging, electronic noses, etc.
- the PDA may use an optical sensor array and optical character recognition software to obtain product identity and information from packages, menus, and receipts. The PDA may be scanned across or held close to words on prepackaged foods to determine the identity and nutrition information of the food.
- Methods of determining portion size include imaging, with dimensional analysis, scales in communication with the PDA, manual data entry, scales built into the PDA, measuring inertial properties, measuring ultrasonic impedance, etc.
- the PDA may thus be used to monitor physical activity of the person, e.g. using a body-mounted accelerometer (e.g. a pedometer).
- Other inputs to the PDA include questioning the person about his or her prior illnesses, current medications, activities, inputs from a fitness trainer, communication with one or more additional activity sensors, etc.
- a person is provided with a lifestyle logger as part of a weight control program, so that the lifestyle logger is a diet logger, activity logger, and weight logger.
- Providing a lifestyle logger may mean providing the person with hardware (e.g. a Palm Pilot) with pre-mounted software, providing hardware and access to software e.g. downloadable over the Internet, providing software for the person to run on their own hardware, or providing some combination of software, hardware modifications or accessories.
- Providing a lifestyle logger may also mean selling, renting, or leasing the lifestyle logger to the person, or in some cases providing the lifestyle logger as part of a subscription program, in which case the lifestyle logger may be included for free or for a discounted price, e.g. for a minimum subscription period.
- a person preferably records diet and body weight data, and possibly also activity level data, physiological parameters over time, environmental parameters over time, etc. using the lifestyle logger (referred to also here as a PDA).
- This information is transmitted to a remote database (i.e. a database not in the PDA), where it can be accessed by any authorized person.
- Authorized people may include physicians, dieticians, weight control counselors, fitness consultants, etc.
- the data on the database may also be accessed by computer expert systems or statistical analysis software.
- a wireless Internet connection may be used to transmit data to the remote database.
- the data collected is used to provide feedback to the persons. For example, in a weight loss program, dietary changes may be suggested if weight loss goals are not met.
- the lifestyle data collected in the personal logging device further includes energy expenditure data as to the energy expended or to be expended by the respective person.
- energy data includes a measurement of the energy expended by the resting metabolism of the person, and a measurement of the energy expended by physical activities of the person.
- the resting metabolism is measured by an indirect calorimeter applied to the person
- the energy expended by physical activities is measured by a physical activity sensor applied to the person.
- the lifestyle data collected in the personal logging device further includes personal health data including the age, gender, weight and height of the respective person.
- Such personal health data may include prior illnesses of the person, and current medications taken by the person. It may also include genetic information of the person, which genetic information may be helpful in indicating future health risks, or making predictions as to the future health, of the respective person.
- Other lifestyle data which may be collected may relate to environmental conditions, such as temperature, humidity, pressure, radiation level, possible chemicals in the atmosphere, etc., any of which environmental conditions may also affect the future health of the person.
- Figure 1 is a block diagram illustrating one form of system constructed in accordance with the present invention for assisting an individual in a lifestyle control program conducive to good health
- Figure 2 is a block diagram more particularly illustrating the activity log unit in the system of Figure 1
- Figure 3 is a flowchart illustrating one manner of using the described system for assisting an individual in a lifestyle control program conducive to good health.
- PDA 10 collects dietary data using a diet log 10, an activity log 14, an environmental log 16, and a medical log 18.
- the data collected by such logs will be collectively referred to as lifestyle data.
- This lifestyle data is transmitted to a database in a remote computer system 20.
- the data is combined with data from other members of the group
- the activity log 14 is preferably software running on the PDA, which collects data from a body mounted accelerometer, or accelerometers in the PDA, or from the user via a suitable interface.
- Figure 2 illustrates one example of such an activity log 14.
- the activity log 14 includes a resting metabolism sensor 14a, preferably an indirect calorimeter; and a physical activity sensor 14b, both applied to the respective person.
- the outputs of the two sensors 14a, 14b are added together to produce a total energy expenditure, as shown by block 14c, before being fed to the PDA 10.
- the environmental log 16 may receive data from an air pollution sensor, other environmental sensor, or from a website providing such information. Information from websites may be provided directly to server 20.
- the medical log 18 is used to record medication taken.
- Remote computer system 20 is preferably a server system, having access to memory for database storage, and having access to a communications network for the provision of a website.
- Figure 3 is a flowchart illustrating one manner of using the system of Figures 1 and 2 for assisting an individual in a lifestyle control program conductive to good health.
- the database 20 is used for storing lifestyle data and correlations to good health from a group of such persons or individuals sufficiently large to constitute a statistical group (block 50).
- the lifestyle data of the respective individual person is collected in the individual's PDA as shown in Figure 1 and as briefly described above (block 51). This collected lifestyle data is fed from the individual's PDA 10 to the database 20 (block 52).
- a computer at the site of the database 20, or at a site communicating with the database then performs a statistical analysis of the collected lifestyle data with respect to the lifestyle data stored in the database 20, and produces an output indicating correlations to good health (block 53). Such an output is then fed back to the individual PDA (block 54), to thereby assist the individual in a lifestyle control program conducive to good health.
- the lifestyle data stored on remote computer system 20 in a database may be supplemented by other information, e.g. additional data known about members of the group from other sources (e.g. registration information when they signed up for the weight loss program, other purchase pattern information, or other lifestyle information) or lifestyle data from other groups.
- additional data known about members of the group from other sources (e.g. registration information when they signed up for the weight loss program, other purchase pattern information, or other lifestyle information) or lifestyle data from other groups.
- Collected lifestyle data from the group can be analyzed for trends and correlations. For example, weight loss or weight control may be more successful in groups eating or avoiding certain types or categories of food. This may be correlated with demographic data. For example, middle-aged people drinking large quantities of soda may be less successful in weight control programs. Hence, specific feedback may be provided to soda-drinking middle-aged people, suggesting a lower soda consumption or alternative drinks. Over an extended period of time, the people in the group may experience diverse health problems and diseases. Health information is collected and statistical analysis performed to relate the relationship of health with lifestyle data. Genetic information, if available, is included in the analysis, for example if the parents of a person had a disease. Demographic information, such as age, gender, and the like, is also included in the analysis.
- Additional physiological and environmental data is included, if available.
- people who frequently fly may have an ionizing radiation detector built into a PDA or otherwise in communication with it, so increased exposure to ionizing radiation at high altitudes may be included.
- People working with chemicals may use sensors to monitor exposure.
- sensor/PDA systems may be provided to a person by employers, employee organizations, trade organizations, insurers, or other sources.
- a large group of people sends data to the database 20, so that meaningful correlations can be found between diet, environment, activity levels, physiological parameters, and health; more generally between lifestyle data and health.
- correlations are performed on data from which individual identity has been removed, preserving privacy.
- a person can ask for a risk analysis based on his or her own data to be performed. Preferably, this will only be done with the permission of that person.
- This system can also be combined with analysis of genomic or genetic data.
- a person may be provided with sensors which detect certain gene sequences, or genetic sequencing may be performed on a sample from the person.
- the collected genomic data in combination with extensive dietary and environmental data logging, provides an enormous powerful method of predicting risk factors for members of the group. For example, it may be revealed by statistical analysis that low levels of fruit intake, combined with a certain genetic marker, leads to higher than average levels of colon cancer. This is a statistical correlation and would enable such a feedback to be provided. In this case, people with low fruit intake may be contacted and tested for the genetic marker. If present, those people would then be encouraged to eat higher levels of fruit and be tested regularly for colon cancer. Certain genetic markers may indicate a predisposition to certain foods of poor nutritional content. Genomic sequencing can then be used to warn a person against these predispositions.
- Genetic markers and sequences can also be used to predict the effect of exercise on a person's metabolic rate.
- An exercise program can be devised for maximum effect on weight loss for a reasonable effort on the person's part, based on their genetic predisposition.
- Purchase information data can also be advantageously used in compiling lifestyle data.
- food purchase data can be provided to a person to assist the person with diet logging.
- the collected purchase data can also be used by a person in compiling a diet log.
- the nutrition information for a particular brand of ice cream purchased by the person can be used in place of a generic ice cream diet log entry. Portion sizes can be estimated from the number of servings obtained from a purchased package.
- a grocery store can also function as a health management advisor to the shopper, either as a single entity or in collaboration with a separate health management business. Diet log data for a person is analyzed, and nutrition deficiencies are identified. Purchase suggestions, coupons, and the like are then provided to the person so as to adjust his or her purchasing patterns towards a healthier lifestyle.
- data related to the purchased items may be uploaded to a remote server system. Items for which nutritional data is not included may be flagged to cause an administrator or software program to add appropriate data for later downloading. The nutritional data may be used in creating a diet log for the person.
- a grocery store may provide a shopper with an identity card, a wireless transmitter, or some other identification means. As a shopper with wireless identification walks past a display, individualized feedback can be provided. For example, lights may flash near a food of recommended nutrition content, foods usually purchased, alternatives to foods usually purchased, foods with discounts available, and the like. Audio signals may also be used to communicate with an identified customer. For example, a food display may announce: "Customer #6, stop eating unhealthy beef jerky strips and try this new healthy celery-flavored yogurt. For you, this is 20% off.” Customized discounts may be offered to encourage sales or appropriate nutrition.
- Grocery shopping via a communications network allows very detailed feedback to be conveniently provided to a shopper during purchase.
- a person ordering an unhealthy food may be provided with a graphical illustration of the enhanced illness rates of previous customers after eating that item regularly.
- promotion of a new item can be achieved by illustrating the determined health benefits of similar foods or component ingredients.
- a person may carry a PDA with GPS or other location-determining functionality. Diet advice can then be made on a location-dependent basis.
- the PDA may provide dietary advice related to location, altitude, climate, or other environmental factors. For example, a restaurant nearby may be recommended as providing healthy food.
- the PDA may also function as a location-based guidebook, in which the person's known location is used to provide tourist, disease, hotel, travel, or other useful information.
- a user For eating at a restaurant, a user can enter what was eaten at the specified restaurant.
- An administrator or other employee of a health maintenance organization can determine nutrition by contacting the restaurant, and may offer listing in a database and a benefit to the restaurant. The nutrition content of the meal may also be estimated knowing the item ordered and the identity of the restaurant.
- a health maintenance organization may provide a user with a PDA having a stored database of restaurants, these restaurants providing nutrition information on meals consumed. As people age, their consumption and lifestyle patterns may change in predictable patterns. These patterns may be determined by statistical analysis of collected lifestyle data. For example, persons of a certain demographic group may buy one type or brand of beverage, cereal, dessert, etc. while under 40, then migrate to a second brand at later ages.
- This determined pattern may then be used to market the second brand to older members of the demographic group. Also, persons consuming one type of food may be statistically more likely to perform a certain type of activity, as recorded by diet and activity logs. This correlation may be used to market activity-related products to consumers of that type of food.
- Changes in diet and activity logs for a person may be used to diagnose physical and psychological ailments, and hence to provide appropriate feedback and advice.
- the PDA may use seasonal trends in suggesting diet and exercises. For example, swimming may be suggested in preference to running if the temperature is to fall below a certain value. Weather forecasts may be obtained over a communications network, or typical values obtained from a database.
- the PDA can also be used to collect the feelings or described symptoms of the person, for example tiredness, headaches, and the like. Correlations with the collected diet log data can be used to suggest avoiding certain foods in the future. Feedback to the PDA may adapt to the wishes of the person. For example, new age remedies may be suggested if appropriate.
- the PDA used by the person in diet logging will alert the person to dietary deficiencies, and suggest supplements.
- the PDA used in diet logging can also be used to assist food purchases, suggest nutritionally balanced meals and recipes, provide advice to the person related to specific medical conditions
- Voice recognition software on the PDA may be used to enter lifestyle- related data. Audio files may also be recorded by the PDA, transmitted to a remote computer over a communications network, and then analyzed by the remote computer, for example to create a diet log from recorded memos. Purchase information may also be used in creating the diet log.
Abstract
Description
Claims
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
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AU2002230917A AU2002230917A1 (en) | 2000-10-31 | 2001-10-30 | Method of assisting individuals in lifestyle control programs conducive to good health |
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
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US24446800P | 2000-10-31 | 2000-10-31 | |
US60/244,468 | 2000-10-31 | ||
US10/033,063 US20020055857A1 (en) | 2000-10-31 | 2001-10-25 | Method of assisting individuals in lifestyle control programs conducive to good health |
US10/033,063 | 2001-10-25 |
Publications (2)
Publication Number | Publication Date |
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WO2002037232A2 true WO2002037232A2 (en) | 2002-05-10 |
WO2002037232A3 WO2002037232A3 (en) | 2002-08-22 |
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PCT/US2001/048668 WO2002037232A2 (en) | 2000-10-31 | 2001-10-30 | Method of assisting individuals in lifestyle control programs conducive to good health |
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US (1) | US20020055857A1 (en) |
AU (1) | AU2002230917A1 (en) |
WO (1) | WO2002037232A2 (en) |
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WO2007103330A1 (en) * | 2006-03-07 | 2007-09-13 | Marvell World Trade Ltd. | Personal lifestyle device |
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US9264853B2 (en) | 2006-03-07 | 2016-02-16 | Marvell World Trade Ltd. | Personal lifestyle device |
US10964415B2 (en) | 2006-04-27 | 2021-03-30 | Wellstat Vaccines, Llc | Automated systems and methods for obtaining, storing, processing and utilizing immunologic information of an individual or population for various uses |
Also Published As
Publication number | Publication date |
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US20020055857A1 (en) | 2002-05-09 |
AU2002230917A1 (en) | 2002-05-15 |
WO2002037232A3 (en) | 2002-08-22 |
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