This document discusses the accuracy of consumer health wearables. It summarizes a study that tested the accuracy of Fitbit devices during different physical activities. The study found that Fitbit devices worn on the hip accurately counted steps while those worn on the wrist were off by about 11 steps per minute. Hip-based devices also better estimated calories burned. While consumer wearables are becoming more common, their use in clinical settings remains limited due to concerns about accuracy, reliability and regulatory approval. Efforts are underway to address these issues to help integrate wearables into healthcare.
The document discusses 5 tools that can encourage healthy eating, exercise, and environmental consciousness: 1) "Grocery Gadget" apps that can recommend healthier food alternatives; 2) LocalHarvest.org which helps find local organic farms; 3) Wellness Phones that integrate health tracking; 4) GoodFoodNearYou.com which provides nutrition info for restaurant menus; 5) Digital insulin equipment that helps diabetics monitor blood sugar levels. These digital technologies foster awareness of nutrition habits and health.
Trends brief: Quantified self & Wearable TechnologiesG. Kofi Annan
The document discusses the quantified self movement and wearable technology trends in health. It describes how quantified self uses technology to collect personal data on inputs, states, and performance to achieve self-improvement goals. Wearables are a new technology category resulting from trends in mobile devices, augmented reality, the Internet of Things, and big data. The document outlines key drivers of wearable adoption including accelerating technology, government policies, consumerization of healthcare, increasing chronic conditions, and an aging population. It explores applications of wearables and quantified self across areas like biosensors, augmented perception, environmental sensing, personal data aggregation, and health data systems.
This document discusses health and fitness apps that were nominated by a group. It lists the top 5 health and fitness apps, which include apps for home workouts without equipment, checking food additives, short intense circuit training, calculating BMI, and meditation training. It also lists other nominated apps for recipes, flexibility training, eye relaxation, tracking outdoor activities, and viewing a health food chart.
The invasion of mobile medical apps: A 5-Year OutlookNealda Yusof
Digital health is a fast-growing space and will shape medical technology innovation of the future. This is an overview about the trends in mobile medical apps today and in the next 5 years. The topics discussed in this lecture include:
http://semoegy.com
The document discusses how CGIAR is applying a One Health approach to address COVID-19 and prevent future pandemics through agricultural research. CGIAR is conducting research to understand disease drivers, improve diagnostics and surveillance, strengthen biosecurity, and promote cross-sector collaboration. This includes ILRI repurposing its lab to process COVID-19 tests in Kenya and advising Ethiopia on testing strategies. A One Health approach that considers the interactions between human, animal and environmental health could help reduce disease emergence and save billions by limiting future pandemics according to economic analyses.
Better lives through livestock: ILRI in East Africa focus on dairyILRI
The document discusses opportunities for sustainable dairy development in East Africa through the work of ILRI and its partners.
ILRI's mission is to improve food security and reduce poverty through research on sustainable livestock use. ILRI is conducting research in East Africa to unleash the dairy potential, such as integrated projects in Tanzania (Maziwa Zaidi) and a genetic gains platform (ADGG) in Tanzania and Ethiopia. These projects package profitable and sustainable technologies while building capacity of agribusinesses.
Lessons so far indicate that linkages with agri-entrepreneurs show more promise for technology uptake and productivity gains compared to new farmer groups. Structured skills training and ICT provide opportunities to
This document discusses the accuracy of consumer health wearables. It summarizes a study that tested the accuracy of Fitbit devices during different physical activities. The study found that Fitbit devices worn on the hip accurately counted steps while those worn on the wrist were off by about 11 steps per minute. Hip-based devices also better estimated calories burned. While consumer wearables are becoming more common, their use in clinical settings remains limited due to concerns about accuracy, reliability and regulatory approval. Efforts are underway to address these issues to help integrate wearables into healthcare.
The document discusses 5 tools that can encourage healthy eating, exercise, and environmental consciousness: 1) "Grocery Gadget" apps that can recommend healthier food alternatives; 2) LocalHarvest.org which helps find local organic farms; 3) Wellness Phones that integrate health tracking; 4) GoodFoodNearYou.com which provides nutrition info for restaurant menus; 5) Digital insulin equipment that helps diabetics monitor blood sugar levels. These digital technologies foster awareness of nutrition habits and health.
Trends brief: Quantified self & Wearable TechnologiesG. Kofi Annan
The document discusses the quantified self movement and wearable technology trends in health. It describes how quantified self uses technology to collect personal data on inputs, states, and performance to achieve self-improvement goals. Wearables are a new technology category resulting from trends in mobile devices, augmented reality, the Internet of Things, and big data. The document outlines key drivers of wearable adoption including accelerating technology, government policies, consumerization of healthcare, increasing chronic conditions, and an aging population. It explores applications of wearables and quantified self across areas like biosensors, augmented perception, environmental sensing, personal data aggregation, and health data systems.
This document discusses health and fitness apps that were nominated by a group. It lists the top 5 health and fitness apps, which include apps for home workouts without equipment, checking food additives, short intense circuit training, calculating BMI, and meditation training. It also lists other nominated apps for recipes, flexibility training, eye relaxation, tracking outdoor activities, and viewing a health food chart.
The invasion of mobile medical apps: A 5-Year OutlookNealda Yusof
Digital health is a fast-growing space and will shape medical technology innovation of the future. This is an overview about the trends in mobile medical apps today and in the next 5 years. The topics discussed in this lecture include:
http://semoegy.com
The document discusses how CGIAR is applying a One Health approach to address COVID-19 and prevent future pandemics through agricultural research. CGIAR is conducting research to understand disease drivers, improve diagnostics and surveillance, strengthen biosecurity, and promote cross-sector collaboration. This includes ILRI repurposing its lab to process COVID-19 tests in Kenya and advising Ethiopia on testing strategies. A One Health approach that considers the interactions between human, animal and environmental health could help reduce disease emergence and save billions by limiting future pandemics according to economic analyses.
Better lives through livestock: ILRI in East Africa focus on dairyILRI
The document discusses opportunities for sustainable dairy development in East Africa through the work of ILRI and its partners.
ILRI's mission is to improve food security and reduce poverty through research on sustainable livestock use. ILRI is conducting research in East Africa to unleash the dairy potential, such as integrated projects in Tanzania (Maziwa Zaidi) and a genetic gains platform (ADGG) in Tanzania and Ethiopia. These projects package profitable and sustainable technologies while building capacity of agribusinesses.
Lessons so far indicate that linkages with agri-entrepreneurs show more promise for technology uptake and productivity gains compared to new farmer groups. Structured skills training and ICT provide opportunities to
Sehat Co. - A Smart Food Recommendation SystemIRJET Journal
This document describes a proposed food recommendation system called Sehat Co. that uses image processing and deep learning techniques to predict ingredients from uploaded food images. It then matches the predicted ingredients against a database of ingredients known to fight COVID-19 to display relevant recipes, stats on COVID-fighting ingredients, and a recommendation for a second recipe. The system aims to help users track their food intake and choose meals containing ingredients that may increase immunity against COVID-19. It was developed using the Recipe1M dataset containing over 1 million recipes and trained on a multi-task deep learning model to perform ingredient prediction and recipe generation and recommendation.
From Selfies to Healthies – What's Next for Technology in Health & WellnessOgilvy Consulting
Today we generate huge amounts of data on the efficiency of everything from cars to jet engines, but hardly track our health with the widely available technology. As the future of health focuses more on preventive care, we must go beyond yoga and yoghurt to achieve and encourage healthier behaviors.
In this webinar, we’ll discuss the latest Health and Wellness trends as well as the impact of social technology on caring for our health.
kHealth Bariatrics is an effort to bout against weight recidivism post bariatric surgery. The computer scientists working at Kno.e.sis, an Ohio Center of Excellence in BioHealth Innovation, are collaborating with a bariatric surgeon and a behavioural specialist to bolster weight loss surgery patients for appropriate postsurgical progress.
Mobile apps have become widely used in healthcare, with over 13,000 medical apps available. They have the potential to improve clinical trials by allowing patients to report data and adverse events in real-time without visiting research facilities. This could provide researchers with higher quality data for understanding diseases. Mobile apps may also enable more effective risk management programs and information delivery to patients and healthcare providers. However, validating mobile apps for use in pharmaceutical research and development is important to ensure data quality.
Meal delivery apps (MDAs) are growing multibillion-dollar platforms that connect customers to restaurants through mobile apps, extending physical food environments and increasing the availability of food options; however, MDAs remain largely unaddressed by existing nutrition policies and their potential impacts on health are not well understood, requiring examination through a food systems framework to assess relationships with nutrition and health outcomes.
In this webinar, you will learn:
How we approach intervention campaigns: a framework
The science of behavior change and how it can be applied to increase the probability of desired outcomes
How Altarum’s ACE Measure can help predict consumer behaviors and design successful intervention campaigns
Speakers:
Ryan Rossier, Medullan
Chris Duke, Altarum
Josh Klapow, ChipRewards
DANES: Diet and Nutrition Expert System for Meal Management and Nutrition Cou...rahulmonikasharma
“Your body is your temple” As people across the globe are becoming more health conscious, eating more healthy food and avoiding junk food, a system that can measure calories and nutrition in every day meals can be very useful for maintaining one’s health. Food calorie and nutrition measurement system is very beneficial for dieticians and patients to measure and manage their daily food intake. We also know that it’s difficult to find an affordable nutritionist or a dietician across the street; therefore, we have proposed a system – DIET AND NUTRITION EXPERT SYSTEM. The proposed system is a responsive android application which contains the knowledge and data regarding the fitness of a person and nutrition content values. This application consists of the user interface which will be publicly displayed on the application i.e. the basic information regarding the fitness and nutrition values such as how to maintain good health by adapting healthy eating habits which includes the intake of calories, proteins and carbohydrates etc. in proper proportion. A dietician consults a person based on his schedule, body type, height and weight. The system too asks all this data from the user and processes it. It asks about how many hours the user works, his height, weight, age etc. The system stores and processes this data and then calculates the nutrient value needed to fill up users’ needs.
The explosion in the number of applications (apps) designed for the medical and wellness sectors has been noted by many. Recently we have seen increased presence of truly medical apps, in addition to consumer health and wellbeing apps, designed for clinical professionals and patients with medical conditions.
Consumer based mHealth apps typically allow people to do old things in new ways, such as recording health measures digitally rather than on paper. We see this also with medical apps, where increases in the quality and efficiency of existing health care models provide clinical staff with digital tools that replace paper based documentation. In rare and exciting cases we are also seeing mHealth applications that are doing things in entirely new ways to drive real innovation in health care delivery through mobile devices.
The aim of the tutorial is to highlight real world, high impact mobile research that is relevant to the key discipline of Mobile HCI. Thus, the tutorial will be application rather than academically focused. The tutorial will highlight the wide range of mHealth applications available that go far beyond trackers and behavior change tools and encourage researchers to look beyond consumer applications in their research. Four key areas of mHealth applications will be covered including Apps for the HealthyWell, mHealth in Hospitals, Practice and Clinical Apps and Patient Apps and will cover applications for health assessment, treatment and triage, behavior change, chronic illness, mental health, adolescent health, rehabilitation and age care with a focus on the need for rigorous evaluation and efficacy analysis.
apidays LIVE India 2022_Analytics in Healthcare.pptxapidays
This document discusses how artificial intelligence can help combat diabetes through predictive analytics, lifestyle guidance, and monitoring tools. It outlines conferences held by an analytics company to discuss these topics. Key challenges to adoption include integration issues, data privacy, lack of standards, and gaining acceptance from medical practitioners. However, AI shows promise in predicting glucose levels, personalized education, insulin guidance, and complication monitoring if these obstacles can be overcome.
How Technology Encourages A Healthy Lifestylegrovedental
Modern health technology includes telemedicine, wearable fitness trackers, fitness apps, and smart devices. Telemedicine allows remote treatment, reducing costs and burden on hospitals. Wearable trackers and fitness apps provide accurate activity and sleep data to motivate healthy habits. Fewer than 3% of Americans meet a healthy lifestyle, and obesity, diabetes, and heart disease are widespread issues. However, technology encourages healthier choices through reminders, goal tracking, and progress sharing with doctors. The integration of consumer technology and digital healthcare records has potential for better health management.
This document summarizes 10 health innovations and trends to watch in 2010, including: 1) "Hello Health" franchised primary care practices with online tools and direct payments, 2) use of surgical checklists to improve safety, 3) mobile health applications like HealthMap for disease surveillance, 4) direct-to-consumer genetic testing providing personalized health information, 5) "reverse innovations" developed first for emerging markets, 6) services generating personalized care plans from health data, 7) point-of-care diagnostic technologies, 8) the University of Toronto's crowdsourcing of health system ideas, 9) the growth of mobile health applications, and 10) patient data sharing communities like PatientsLikeMe. These innovations aim to improve health
apidays LIVE Singapore 2022_Analytics in Healthcare.pptxapidays
apidays LIVE Singapore 2022: Digitising at scale with APIs
April 20 & 21, 2022
Analytics in Healthcare: combating diabetes with data
Dr Nashya Haider, Founder & Director at Innotech Consultants
------------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
Deep dive into the API industry with our reports:
https://www.apidays.global/industry-reports/
Subscribe to our global newsletter:
https://apidays.typeform.com/to/i1MPEW
Now Wearable Technology Shifted Focus To Chronic Medical IllnessDivyaConsagous
Every year around $2.9 Tn is spent on healthcare and out of which 75% is spent on the treatment of chronic diseases. Although digital machines have remarkably helped the number of patients suffering from chronic diseases but wearable technology has dramatically shifted the ground by it's amazing features and trackable devices. Let’s take a look at our new post which briefs you about how wearable technology shifted focus to chronic medical illness.
This document describes a proposed online platform called FoodInDaHud that aims to promote healthy eating habits. It consists of a mobile app that allows users to browse recipes, view detailed nutrition information, and customize recipes based on their dietary preferences. The app also enables users to order customized meals locally and have them delivered. The platform utilizes a recipe browser, nutrition profiler, nutrition query engine, and order/delivery system. It seeks to provide users with recipe-level control over their meals and educate them about making informed dietary choices. The platform could be expanded further with additional features like personalized meal plans, special diet options, and voice recipe creation.
The document discusses Go-Life's strategy to expand from producing nutritional supplements to providing a more holistic approach to healthcare. It plans to do this through developing digital health platforms, medical devices, stem cell therapy, and partnerships in areas like frail care, clinics, and pharmacies. The goal is to shift from reactive disease management to preventative wellness and participate across the spectrum of changing healthcare focus areas.
Future of Off-Premise Dining - Emerging View.pdfFuture Agenda
From ‘dark kitchens’ to ubiquitous delivery brands and grocery on-demand, where, what and how we all eat is undergoing significant and rapid change.
In a collaborative project, put together in partnership with McCain, we have been looking out to 2030 to explore and define how Off-Premise Dining might further evolve, and which of the multiple current trends are likely to stick? The emerging view is a first step toward answering the question. It reflects the key insights gathered from interviews and in-depth workshops with key industry stakeholders in Europe, the Americas and Asia, as well as the Future Agenda database and synthesised desk research.
The fight for future market share is already well underway, and significant bets are being placed on a wide range of future opportunities; from health-focused vending machines, through increasingly sophisticated mobile apps, to personalisation of food flavours. With so many significant shifts taking place simultaneously across the entire off-premise dining value chain, there will inevitably be winners and losers. We hope our insights can serve as a jumping off point for further discussion as to where the winners might emerge.
As with all Future Agenda projects, the aim is to challenge assumptions, identify emerging trends, and build an informed assessment of the changes ahead and their implications for strategy, policy, innovation and action.
If you’d like to be involved and add your views into the mix please do get in touch james.alexander@futureagenda.org
IRJET- Assessing Food Volume and Nutritious Values from Food Images using...IRJET Journal
This document proposes a food recognition system using smartphone cameras to estimate calorie and nutrient values from photos of food. It involves image segmentation, feature extraction, and classification using a decision tree approach. Specifically, the system takes photos of food before and after eating, segments the images to identify the food type and portion size, then uses nutrient databases and the decision tree to estimate calorie content. The goal is to help with obesity treatment by automatically monitoring patients' daily food intake and calories through analysis of food photos. Key steps include pre-processing images, segmenting into regions, measuring food portions, and classifying calories using decision tree algorithms and nutrient fact tables.
HealthBotz Allscripts challenge care plan presentation finaltmarcin
The document describes HealthBotz, a web application that enables providers and patients to collaborate on care plans for patients with chronic diseases like diabetes. It addresses the problems of high healthcare costs and improving outcomes for these patients by increasing engagement in care plan creation and compliance. The application would pull data from electronic medical records and push updates back to provide a collaborative care planning tool integrated with medical records. It outlines the technical architecture and plans for piloting the application with partners.
Presented at the Expert Panel Discussion: The Future of Telehealth Technology at National Telehealth Conference, 10 Oct 2017, Cincinnati: http://www.nationaltelehealthconference.com
This is an abridged version of an invited talk: https://youtu.be/wDi1mLLyxuc
Sehat Co. - A Smart Food Recommendation SystemIRJET Journal
This document describes a proposed food recommendation system called Sehat Co. that uses image processing and deep learning techniques to predict ingredients from uploaded food images. It then matches the predicted ingredients against a database of ingredients known to fight COVID-19 to display relevant recipes, stats on COVID-fighting ingredients, and a recommendation for a second recipe. The system aims to help users track their food intake and choose meals containing ingredients that may increase immunity against COVID-19. It was developed using the Recipe1M dataset containing over 1 million recipes and trained on a multi-task deep learning model to perform ingredient prediction and recipe generation and recommendation.
From Selfies to Healthies – What's Next for Technology in Health & WellnessOgilvy Consulting
Today we generate huge amounts of data on the efficiency of everything from cars to jet engines, but hardly track our health with the widely available technology. As the future of health focuses more on preventive care, we must go beyond yoga and yoghurt to achieve and encourage healthier behaviors.
In this webinar, we’ll discuss the latest Health and Wellness trends as well as the impact of social technology on caring for our health.
kHealth Bariatrics is an effort to bout against weight recidivism post bariatric surgery. The computer scientists working at Kno.e.sis, an Ohio Center of Excellence in BioHealth Innovation, are collaborating with a bariatric surgeon and a behavioural specialist to bolster weight loss surgery patients for appropriate postsurgical progress.
Mobile apps have become widely used in healthcare, with over 13,000 medical apps available. They have the potential to improve clinical trials by allowing patients to report data and adverse events in real-time without visiting research facilities. This could provide researchers with higher quality data for understanding diseases. Mobile apps may also enable more effective risk management programs and information delivery to patients and healthcare providers. However, validating mobile apps for use in pharmaceutical research and development is important to ensure data quality.
Meal delivery apps (MDAs) are growing multibillion-dollar platforms that connect customers to restaurants through mobile apps, extending physical food environments and increasing the availability of food options; however, MDAs remain largely unaddressed by existing nutrition policies and their potential impacts on health are not well understood, requiring examination through a food systems framework to assess relationships with nutrition and health outcomes.
In this webinar, you will learn:
How we approach intervention campaigns: a framework
The science of behavior change and how it can be applied to increase the probability of desired outcomes
How Altarum’s ACE Measure can help predict consumer behaviors and design successful intervention campaigns
Speakers:
Ryan Rossier, Medullan
Chris Duke, Altarum
Josh Klapow, ChipRewards
DANES: Diet and Nutrition Expert System for Meal Management and Nutrition Cou...rahulmonikasharma
“Your body is your temple” As people across the globe are becoming more health conscious, eating more healthy food and avoiding junk food, a system that can measure calories and nutrition in every day meals can be very useful for maintaining one’s health. Food calorie and nutrition measurement system is very beneficial for dieticians and patients to measure and manage their daily food intake. We also know that it’s difficult to find an affordable nutritionist or a dietician across the street; therefore, we have proposed a system – DIET AND NUTRITION EXPERT SYSTEM. The proposed system is a responsive android application which contains the knowledge and data regarding the fitness of a person and nutrition content values. This application consists of the user interface which will be publicly displayed on the application i.e. the basic information regarding the fitness and nutrition values such as how to maintain good health by adapting healthy eating habits which includes the intake of calories, proteins and carbohydrates etc. in proper proportion. A dietician consults a person based on his schedule, body type, height and weight. The system too asks all this data from the user and processes it. It asks about how many hours the user works, his height, weight, age etc. The system stores and processes this data and then calculates the nutrient value needed to fill up users’ needs.
The explosion in the number of applications (apps) designed for the medical and wellness sectors has been noted by many. Recently we have seen increased presence of truly medical apps, in addition to consumer health and wellbeing apps, designed for clinical professionals and patients with medical conditions.
Consumer based mHealth apps typically allow people to do old things in new ways, such as recording health measures digitally rather than on paper. We see this also with medical apps, where increases in the quality and efficiency of existing health care models provide clinical staff with digital tools that replace paper based documentation. In rare and exciting cases we are also seeing mHealth applications that are doing things in entirely new ways to drive real innovation in health care delivery through mobile devices.
The aim of the tutorial is to highlight real world, high impact mobile research that is relevant to the key discipline of Mobile HCI. Thus, the tutorial will be application rather than academically focused. The tutorial will highlight the wide range of mHealth applications available that go far beyond trackers and behavior change tools and encourage researchers to look beyond consumer applications in their research. Four key areas of mHealth applications will be covered including Apps for the HealthyWell, mHealth in Hospitals, Practice and Clinical Apps and Patient Apps and will cover applications for health assessment, treatment and triage, behavior change, chronic illness, mental health, adolescent health, rehabilitation and age care with a focus on the need for rigorous evaluation and efficacy analysis.
apidays LIVE India 2022_Analytics in Healthcare.pptxapidays
This document discusses how artificial intelligence can help combat diabetes through predictive analytics, lifestyle guidance, and monitoring tools. It outlines conferences held by an analytics company to discuss these topics. Key challenges to adoption include integration issues, data privacy, lack of standards, and gaining acceptance from medical practitioners. However, AI shows promise in predicting glucose levels, personalized education, insulin guidance, and complication monitoring if these obstacles can be overcome.
How Technology Encourages A Healthy Lifestylegrovedental
Modern health technology includes telemedicine, wearable fitness trackers, fitness apps, and smart devices. Telemedicine allows remote treatment, reducing costs and burden on hospitals. Wearable trackers and fitness apps provide accurate activity and sleep data to motivate healthy habits. Fewer than 3% of Americans meet a healthy lifestyle, and obesity, diabetes, and heart disease are widespread issues. However, technology encourages healthier choices through reminders, goal tracking, and progress sharing with doctors. The integration of consumer technology and digital healthcare records has potential for better health management.
This document summarizes 10 health innovations and trends to watch in 2010, including: 1) "Hello Health" franchised primary care practices with online tools and direct payments, 2) use of surgical checklists to improve safety, 3) mobile health applications like HealthMap for disease surveillance, 4) direct-to-consumer genetic testing providing personalized health information, 5) "reverse innovations" developed first for emerging markets, 6) services generating personalized care plans from health data, 7) point-of-care diagnostic technologies, 8) the University of Toronto's crowdsourcing of health system ideas, 9) the growth of mobile health applications, and 10) patient data sharing communities like PatientsLikeMe. These innovations aim to improve health
apidays LIVE Singapore 2022_Analytics in Healthcare.pptxapidays
apidays LIVE Singapore 2022: Digitising at scale with APIs
April 20 & 21, 2022
Analytics in Healthcare: combating diabetes with data
Dr Nashya Haider, Founder & Director at Innotech Consultants
------------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
Deep dive into the API industry with our reports:
https://www.apidays.global/industry-reports/
Subscribe to our global newsletter:
https://apidays.typeform.com/to/i1MPEW
Now Wearable Technology Shifted Focus To Chronic Medical IllnessDivyaConsagous
Every year around $2.9 Tn is spent on healthcare and out of which 75% is spent on the treatment of chronic diseases. Although digital machines have remarkably helped the number of patients suffering from chronic diseases but wearable technology has dramatically shifted the ground by it's amazing features and trackable devices. Let’s take a look at our new post which briefs you about how wearable technology shifted focus to chronic medical illness.
This document describes a proposed online platform called FoodInDaHud that aims to promote healthy eating habits. It consists of a mobile app that allows users to browse recipes, view detailed nutrition information, and customize recipes based on their dietary preferences. The app also enables users to order customized meals locally and have them delivered. The platform utilizes a recipe browser, nutrition profiler, nutrition query engine, and order/delivery system. It seeks to provide users with recipe-level control over their meals and educate them about making informed dietary choices. The platform could be expanded further with additional features like personalized meal plans, special diet options, and voice recipe creation.
The document discusses Go-Life's strategy to expand from producing nutritional supplements to providing a more holistic approach to healthcare. It plans to do this through developing digital health platforms, medical devices, stem cell therapy, and partnerships in areas like frail care, clinics, and pharmacies. The goal is to shift from reactive disease management to preventative wellness and participate across the spectrum of changing healthcare focus areas.
Future of Off-Premise Dining - Emerging View.pdfFuture Agenda
From ‘dark kitchens’ to ubiquitous delivery brands and grocery on-demand, where, what and how we all eat is undergoing significant and rapid change.
In a collaborative project, put together in partnership with McCain, we have been looking out to 2030 to explore and define how Off-Premise Dining might further evolve, and which of the multiple current trends are likely to stick? The emerging view is a first step toward answering the question. It reflects the key insights gathered from interviews and in-depth workshops with key industry stakeholders in Europe, the Americas and Asia, as well as the Future Agenda database and synthesised desk research.
The fight for future market share is already well underway, and significant bets are being placed on a wide range of future opportunities; from health-focused vending machines, through increasingly sophisticated mobile apps, to personalisation of food flavours. With so many significant shifts taking place simultaneously across the entire off-premise dining value chain, there will inevitably be winners and losers. We hope our insights can serve as a jumping off point for further discussion as to where the winners might emerge.
As with all Future Agenda projects, the aim is to challenge assumptions, identify emerging trends, and build an informed assessment of the changes ahead and their implications for strategy, policy, innovation and action.
If you’d like to be involved and add your views into the mix please do get in touch james.alexander@futureagenda.org
IRJET- Assessing Food Volume and Nutritious Values from Food Images using...IRJET Journal
This document proposes a food recognition system using smartphone cameras to estimate calorie and nutrient values from photos of food. It involves image segmentation, feature extraction, and classification using a decision tree approach. Specifically, the system takes photos of food before and after eating, segments the images to identify the food type and portion size, then uses nutrient databases and the decision tree to estimate calorie content. The goal is to help with obesity treatment by automatically monitoring patients' daily food intake and calories through analysis of food photos. Key steps include pre-processing images, segmenting into regions, measuring food portions, and classifying calories using decision tree algorithms and nutrient fact tables.
HealthBotz Allscripts challenge care plan presentation finaltmarcin
The document describes HealthBotz, a web application that enables providers and patients to collaborate on care plans for patients with chronic diseases like diabetes. It addresses the problems of high healthcare costs and improving outcomes for these patients by increasing engagement in care plan creation and compliance. The application would pull data from electronic medical records and push updates back to provide a collaborative care planning tool integrated with medical records. It outlines the technical architecture and plans for piloting the application with partners.
Presented at the Expert Panel Discussion: The Future of Telehealth Technology at National Telehealth Conference, 10 Oct 2017, Cincinnati: http://www.nationaltelehealthconference.com
This is an abridged version of an invited talk: https://youtu.be/wDi1mLLyxuc
Building a Raspberry Pi Robot with Dot NET 8, Blazor and SignalRPeter Gallagher
In this session delivered at NDC Oslo 2024, I talk about how you can control a 3D printed Robot Arm with a Raspberry Pi, .NET 8, Blazor and SignalR.
I also show how you can use a Unity app on an Meta Quest 3 to control the arm VR too.
You can find the GitHub repo and workshop instructions here;
https://bit.ly/dotnetrobotgithub
2. In recent years, healthcare systems
around the globe have undergone an
increasing pressure to improve
healthcare services, for
chronic-disease patients as well as the
general population, through
effective prevention and
post-operative care.
Ubiquitous healthcare is an emerging
field of technology that uses a large
number of environmental and
patients’ sensors and actuators to
monitor and improve patients’
physical and mental conditions.
http://infonomics-society.org/IJISR/Ubiquitous%20Healthcare%20Information%20System_Assessment%20of%20its%20Impacts%20to%20Patient%E2%80%99s%20Information.pdf
3. • Reducing the delay in the communication between
patient and physician
• Reducing the delay between the recording of the
data and its exploitation
• Faster diagnosis
• Reduction in the medium cost
• Improved accuracy in the diagnosis
There are some foundamental objectives in the
Ubiquitous Healthcare Information Systems
http://infonomics-society.org/IJISR/Ubiquitous%20Healthcare%20Information%20System_Assessment%20of%20its%20Impacts%20to%20Patient%E2%80%99s%20Information.pdf
4. The essence of ubiquitous healthcare lies in the creation
of an environment where healthcare is available to
everyone, everywhere without the dependence on time
or location and where technologies enabling ubiquitous
healthcare would not only be
pervasive but also be assimilated flawlessly in daily lives.
With this vision of Ubiquitous healthcare then, tiny
sensors, which can either be worn on (by integrating
them in patient’s clothing); implanted or installed in
patients’ homes and workplaces (such as in furniture,
electrical appliances and construction), are being
designed to collect information on bodily conditions such
as heart rate, blood pressure and even blood and urine
chemical levels. The actuators go further by triggering
actions such as the release of small quantities of
pharmaceuticals into the bloodstream or the electrical
stimulation of brain areas.
http://infonomics-society.org/IJISR/Ubiquitous%20Healthcare%20Information%20System_Assessment%20of%20its%20Impacts%20to%20Patient%E2%80%99s%20Information.pdf
5. Theoretical advantages
• Availability and accessibility of healthcare knowledge
and expertise
• Equality in the availability and accessibility of
services offered by the health system by breaking down
the geographic and temporal limits
• Availability of ubiquitous healthcare services for new
and alternative (non-invasive) medical procedures
• Cost savings for ubiquitous healthcare service
providers and patients in procedural, travel, and claim
processing costs
• Reduced use of traditional emergency services
• Improved non-emergency services
• Decreased time for non-emergency services
• Timely accessibility of critical information in the event
of emergencies
• Increase of general efficiency
• Increase and improvement in patient relationship
management
http://infonomics-society.org/IJISR/Ubiquitous%20Healthcare%20Information%20System_Assessment%20of%20its%20Impacts%20to%20Patient%E2%80%99s%20Information.pdf
6. Possible disadvantages
• Unnecessary information and data overload for
diagnosis
• The data collection with sensors could lead to less
control of own health through regular medical
examination
• The systems must be targeted on patients with a
certain pathology and should not be used on the
entire population because useless and extremely
expensive
• It’s not possible to screen everything and
everyone
• The patient could not be sured about the sensor’s
feedbacks and could still decide to go to the
Emergency Room even without actual need
(Complaiance of the patient).
8. One of the areas being developed within the
systems dell’ubiquitus healthcare is that of
nutrition. The diet is the foundation of health as a
source of all the nutrients and constituents of the
organism (energy substrates, proteins and amino
acids, lipids, trace elements, vitamins, minerals).
It’s so intuitive that monitoring and real-time
analysis of what is from dietary intake is useful
and essential for better health.
Especially in people who need customized diets
such as
gluten-free, obese, diabetic, allergic or intolerant
to certain foods, athletes, pregnant women,
vegetarians and vegans.
9. Significant benefits arise from being able to capture
dietary or nutritional intake information automatically or
semi-automatically. These include the ability for
individuals to know and understand their nutritional
intake and hence improve their diet and health.
To date, only highly manual processes such as 24 hour
recall, food diaries and food journals have been utilized
which have been overly cumbersome for widespread
adoption.
Emerging informatics, computer vision, mobile
computing and sensor-based approaches are likely to
play a role in further automating the capture of dietary
intake information. In addition there is the increasing
development and prevalence of nutrition fact panel
labeling and further digitization in food industry
production and point-of-sale systems.
https://www.academia.edu/2390233/An_Overview_of_the_State_of_the_Art_of_Automated_Capture_of_Dietary_Intake_Information
10. The challenge:
for each meal or food item consumed, two pieces of
information would need to be captured automatically
or semi-automatically:
• the exact types of food eaten
• the portion-sizes eaten.
The benefits of a UPC (Universal Product Code),
usually barcodes, are that it unambiguously identifies
the food, is typically accompanied by a nutrition fact
panel and it also can powerfully help to assist the
addressing of the question of portion size eaten. That
is, where the whole amount of a packaged food is
eaten, or the recommended serving, or an estimated
fraction of the packaged food, there then is a simple
step to calculate nutritional intake consumed from that
food.
https://www.academia.edu/2390233/An_Overview_of_the_State_of_the_Art_of_Automated_Capture_of_Dietary_Intake_Information
11. The “calorie in” measurement remains a wearables industry challenge. Many activity-tracking wristbands integrate
food-logging tools in their mobile apps to record calorie intake, but these functions are too time-consuming and clumsy.
What the fitness-tech space really needs is a breakthrough in calorie-intake tracking, some kind of sensor-laden
wristband that automatically records how many calories we’re consuming in the food we eat.
In the last year, two fit-tech companies claiming breakthroughs in automatic calorie-intake tracking have crawled out of
the crowd-funding woodwork: Airo Health and Healbe.
http://www.techhive.com/article/2110429/wearable-snake-oil-the-search-for-automatic-calorie-intake-tracking-in-fit-tech-wristbands.html
12. Name: AIRO
Developed by: AIRO Health
Development stage: unknown
Price: 199$
Goal: divine calorie intake through the surface of one’s skin using spectroscopic sensors
How does it work: a LED array shines different wavelengths of light through the skin, while a highly sensitive photo
detector determines which wavelengths have been absorbed, and which have been reflected. The system detects the
optical footprints of what Airo Health describes as metabolites, and from these, the AIRO algorithm can estimate
calorie intake. The company has since shuffled its executive leadership, and has refunded pre-order payments from initial
crowd-funding backers. But its new CEO tells that development continues apace.
http://www.techhive.com/article/2110429/wearable-snake-oil-the-search-for-automatic-calorie-intake-tracking-in-fit-tech-wristbands.html
http://www.getairo.com/
13. Name: GoBe
Developed by: Healbe
Development stage: post-production
Price: 199$
Goal: automatically tell you how many calories you consume and burn
throughout the day
GoBe is a wristband announced on March 6 in an Indiegogo
crowd-fundingcampaign.DevelopedbyaRussia-basedcompanycalled
Healbe, the GoBe can allegedly “automatically tell you how many
calories you consume and burn throughout the day.” Since the launch
of the campaign, a strong debate about the authenticity of the product
came out. On one hand the scientific community, on the other hand
the company Healbe with its researches. What the scientific community
claims is that there is no scientific literature supporting the possibility to
measure the level of glucose in the blood just thanks to a simple
impedance sensor. And more, even if it were possible, what is totally
against any scientific evidence is the possibility to deduce the calorie
intake from the only glucose value, without taking into account key
factors such as the level of protein, fat or carbohydrate intake.
http://pando.com/2014/03/20/on-indiegogo-a-miracle-health-device-raises-730k-and-a-whole-load-of-red-flags/
https://www.indiegogo.com/projects/healbe-gobe-the-only-way-to-automatically-measure-calorie-intake
14. Name: Prep Pad
Developed by: The Orange Chef Co.
Development stage: available on market
Price: 149.95$
Goal: create balanced meals through beautiful
visualizations of Protein, Carbs, Fats, and more
Prep Pad is the smart food scale that gives you real-time
insight into your food. It consists of an aluminium frame
topped off with a paper composite surface that can be
hygienically wiped down, plus the electronic guts (weight
sensor with +/-1gram accuracy, microcontroller and
BluetoothLEconnectivity).Useittocreatebalancedmeals
through beautiful visualizations of Protein, Carbs, Fats,
and more, with the Countertop app.
The Countertop is availabe only on the Apple store, and it
requires iOS 6.0 or later, and it’s compatible only with 3th
generation or later iPad.
http://www.techhive.com/article/2358626/prep-pad-review-achieve-a-balanced-diet-with-this-smart-food-scale.html
https://itunes.apple.com/it/app/countertop/id763317140?mt=8
http://theorangechef.com/products/prep-pad
15. How does it work:
The user specifies what foodstuff/liquid they are weighing in the app, either by
manually selecting it within the app, or scanning a product barcode, or there’s also
a voice-capture feature. The app then builds a visualisation of how balanced that
particular combination of meal ingredients is.
The basic idea of the Prep Pad is to give people more control over their eating
habits by visualising the nutrition content of foodstuffs in real-time, allowing the user
to adjust ingredients to achieve a more healthy balance.
VIDEO: https://www.youtube.com/watch?v=HzLwJyqTPGw
16. Nome: ---
Developed by: Fraunhofer
Development stage: working prototype
Price: low
Goal: rapid testing of food quality
The quality of food is not always as consumers would like
it to be. But a spectrometer will allow them to gage the
quality of food before they buy it. No bigger than a sugar
cube, the device is inexpensive to manufacture and could
one day even be installed in smartphones. In future, all
consumers will need to do is hold their smartphone near
the product in question, activate the corresponding app,
choose the food type from the menu and straight away
the device will make a recommendation. The application is
based on a near infrared spectrometer which measures the
amount of water, sugar, starch, fat and protein present in
the products. The system “looks” several centimeters
below the outer surface of the foodstuffs, which means that
thin packaging film is no problem for the device as it takes
measurements straight through it.http://www.foodproductiondaily.com/Safety-Regulation/NIR-food-quality-device-coming-to-a
-smartphone-near-you-Fraunhofer
17. How does it work:
By shining a broad-bandwidth light on the item
to be tested – for instance a piece of meat.
Depending on the meat’s composition, it will
reflect different wavelengths of light in the near
infrared range with different intensities. The
resulting spectrum tells scientists what amounts
of which substances are present in the foodstuff.
The researchers are also working on creating a
corresponding infrastructure.
They are developing intelligent algorithms that
analyze the recorded spectrums immediately,
compare them with the requirements and then
advise the consumer whether or not to buy the
item.
http://www.fraunhofer.de/en/press/research-news/2012/may/rapid-testing-of-food-quality.html
18. Name: Tellspec
Developed by: Isabel Hoffmann, founder & CEO of
Tellspec
Development stage: Beta-testing after raising 386.392$
on Indiegogo
Price: 250$
Goal: The world’s first handheld device able to scan food
so consumers know more about the ingredients before
they buy or eat the food.
Tellspec is a keyring sized sensor that can tell you
exactly how many calories are in your food simply by
scanning it: the small handheld gadget, which works with
a mobile phone app, contains a spectrometer to analyse
the chemical compounds in food.
From this, its Canadian inventors, Stephen Watson and
Isabel Hoffmann, claim it can ‘tell you the allergens,
chemicals, nutrients, calories, and ingredients in your food’.
http://www.dailymail.co.uk/sciencetech/article-2452714/Tellspec-Future-dieting-Gadget-tells-calories-dinner-scanning.html
https://www.indiegogo.com/projects/tellspec-what-s-in-your-food
19. The handheld scanner incorporates a miniature
near infrared spectrometer. The internal light
source focuses a beam of light through the front
window into the food. Light reflected from the
sample is then collected through the same
window. This light is then dispersed onto a
micro-mirror device, and measured by an
optimized detection system. This produces a
digital electronic signal, known as a spectrum,
that is characteristic of the food.
VIDEO: http://vimeo.com/108316921
http://tellspec.com/howitworks/
20. TellSpec’s algorithm takes the spectrum data and
returns it to the user as a report on common allergens,
trans fats,sugars, mercury and other toxic contaminants.
It also provides sodium and calorie counts, providing
TellSpec with appeal for a broader audience. As more
people use the device, more information about
common foods will be added to the algorithm, the
company says. The scanner correctly identifies foods
and ingredients 97.7 percent of the time, according to
the company — which isn’t bad but leaves a 2.3 percent
chance of a potentially fatal allergic reaction.
21. Baidu Kuaisou is a pair of smart chopsticks equipped
with sensors that can detect certain levels of
contamination in cooking oil, a commodity that is
consistently in demand in China, where oil is seen as a
symbol of wealth since long time ago, and can be
connected to the user’s smartphone via an app that
displays the results.
http://goo.gl/cDNzvC
http://goo.gl/PqSsAi
22. Name: Kuaisou
Developed by: Baidu
Development stage: working
prototype
Price: ---
Goal: Kuaisou uses a series of sensors
to determine metrics like oil quality,
temperature, PH levels, and even calories, then
transmits that information to an app. A tiny blue
LED at the tip of the chopsticks would give you an
on-sight reading.
VIDEO: https://www.youtube.com/watch?v=c74nGOT5dNo
http://www.theguardian.com/world/2014/sep/04/baidu-china-search-engine-smart-chopsticks-food-safety
23. “In the future, via Baidu Kuaisou, you’ll be able to know the
origin of oil and water and other foods - whether they’ve
gone bad and what sort of nutrition they contain,” says
Robin Li, Baidu Chief. China’s food industry has had more
than its fair share of food scandals, from virus-infected
strawberries to meat painted with inedible pigments to make
itlook more appetizing. Recently, McDonald’s and KFC had
to pull out meat items from their menus after reports
surfaced that the fast-food chains were using rotten meat
from a Chinese supplier.
Zhong Nanshan, a health expert who discovered the SARS
virus in 2003, says that up to 14 million tons of gutter oil
were produced in China last year, with 3.5 million of these
making it to dinner tables. And with huge demand driving
up the cost of edible oil, it’s not uncommon for restaurants
to pinch pennies and use contaminated oil bought from the
black market.
VIDEO:https://www.youtube.com/watch?v=c74nGOT5dNo
24. One of the firts molecular sensor that fits in
a hand palm. It’s a tiny spectrometer and
allows you to get instant relevant information
about the chemical make-up of just about
anything around you, sent directly to your
smartphone.
http://www.consumerphysics.com/myscio/scio.htm
25. Name: SCiO
Developed by: Consumer Physics, Tel Aviv, Israel
Development stage: Pre-order/march 2015 as
shipping date
Price: 249$
Goal: Analyze food, plants, medication, oil and fuels,
plastics and wood. Collect and share data through
future developed application.
26. Compatibility:
iPhone 4S, 5, 5C, 5S ( iOS5 or later )
iPad (3rd generation or later)
Android based phones ( Android 4.3
or later)
VIDEO: https://www.youtube.com/watch?v=UIFyAOD_E3E
• Get nutritional facts about different kinds of food:
salad dressings, sauces, fruits, cheeses, and much
more.
• See how ripe an Avocado is, through the peel!
• Find out the quality of your cooking oil.
• Know the well being of your plants.
• Analyze soil or hydroponic solutions.
• Authenticate medications or supplements.
• Upload and tag the spectrum of any material on
Earth to our database. Even yourself!
http://www.consumerphysics.com/myscio/technology.htm
What Can I Do With It Today?
27. Name: iTube
Developed by: Aydogan Ozcan, UCLA Henry Samueli
School of Engineering and Applied Science
Development stage: working prototype
Price: low
Goal: allergens tester
The iTube is a cell phone attachment to detect allergens in
food samples, using the cell phone’s built-in camera, along
with an accompanying smart-phone application that runs a
test with the same high level of sensitivity a laboratory would.
Weighing less than two ounces, the attachment analyzes a
test tube–based allergen-concentration test known as a
colorimetric assay.
http://spectrum.ieee.org/podcast/biomedical/imaging/smartphones-as-blood-analyzers-and-allergen-testers
28. How does it work:
To test for allergens, food samples are initially ground up and
mixed in a test tube with hot water and an extraction
solvent; this mixture is allowed to set for several minutes.
Then, following a step-by-step procedure, the prepared
sample is mixed with a series of other reactive testing
liquids.Theentirepreparationtakesroughly20minutes.When
the sample is ready, it is measured optically for allergen
concentration through the iTube platform, using the cell
phone’scameraandasmartapplicationrunningonthephone.
The kit digitally converts raw images from the cell-phone
camera into concentration measurements detected in the
food samples. And beyond just a “yes” or “no” answer as
to whether allergens are present, the test can also quantify
how much of an allergen is in a sample, in parts per million.
http://newsroom.ucla.edu/releases/ucla-engineering-researchers-test-241465
29. Select your food
restriction.
Scan the code of
the product and
wait a few
moments to
verify.
Display the result. If you wanted to
buy a product
that is not good,
it finds one
compatible.
Offers consumers the power to choose in an informed manner what are the foods that best meet their intolerances,
allergies, his food choices or simply his tastes, reading the label is not always 100% transparent.
http://www.geniuschoice.it/
30. • Lactose intolerance
• Allergy to cow’s milk protein
• Gluten intolerance
• Intolerance to eggs
• Shrimp allergy
• Peanut allergy
• Allergy to fish
http://www.geniuschoice.it/app-intolleranze-allergie/
The food restrictions currently covered by GeniusFood
31. An app that reads the label for you.
A database covering most food supply.
An algorithm able to detect the presence of the chosen
product ingredients side.
The certainty of information maintained and certified by
nutrition professionals.
The open beta version of the app is both available for
Android and iOS platforms.
http://www.geniuschoice.it/
32. Ethics and medical deontology
With the introduction of new UBHIS technologies, privacy
risks, social equality issues and new medic
responsabilities have arisen.
• Obtainment, storage and communication of sensitive
data
• Protection from intrusion by third parties (insurance,
pharmaceutical, workplace ...)
• Individual’s body integrity UBHIS devices’ informed
consent (what data is collected and who can access it)
• Doctors liability in a system error situation, while
using UBHIS devices.
• Access to UBHIS services regardless of the
economic and social differences.
• Ubiquitous healthcare can be considered at the same
level of Enforced treatment or a surveillance system?
http://infonomics-society.org/IJISR/Ubiquitous%20Healthcare%20Information%20System_Assessment%20of%20its%20Impacts%20to%20Patient%E2%80%99s%20Information.pdf