Food Calc launches mobile app for Android
Food Calc has introduced EveryoneEat!, a mobile application for Android and the iPhone to help people with chronic diseases make healthy food choices while dining out.
The users enter the key information including gender, age, weight, height and age, followed by what chronic diseases and dietary restrictions they have. As per the features, a dietary guideline is generated for user based on FoodCalc’s collaboration with major U.S. health associations like the National Kidney Foundation, the National Heart Lung and Blood Institute, and the American Diabetes Association.
The user can get more customized experience by granting their dietitian access to their EveryoneEat! Account. By entering their practioner’s email and name, FoodCalc locates the registered dietitian who can then log into that user’s account to override or set new guidelines.
The users who do not have a dietitian can also access advice from one of the app’s 50 registered dietitians allowing them to provide customized settings.
Ken Marshall, Company’s co-founder and CEO Ken Marshall said, “There are existing databases with heavy market share using apps such as CalorieKing and FatSecret.” Mr. Marshall also said, “They are specifically targeting people with chronic diseases who need help deciding what they eat.”
EveryoneEat! Is free for all users and Marshall says they plan on generating revenue through advertising within the app.
FoodCalc provides individuals with highly tailored nutrition insight that gives them specific context about how dishes at over 18,000 restaurants relate to their specific nutrition needs.
Introducing Dosis - the AI powered dosing platform
Cloud-based platform Dosis uses AI to help patients and clinicians tailor their medication plans. Shivrat Chhabra, CEO and co-founder, tells us how it works.
When and why was Dosis founded?
Divya, my co-founder and I founded Dosis in 2017 with the purpose of creating a personalised dosing platform. We see personalisation in so many aspects of our lives, but not in the amount of medication we receive. We came across some research at the University of Louisville that personalised the dosing of a class of drugs called ESAs that are used to treat chronic anaemia. We thought, if commercialised, this could greatly benefit the healthcare industry by introducing precision medicine to drug dosing.
The research also showed that by taking this personalised approach, less drugs were needed to achieve the same or better outcomes. That meant that patients were exposed to less medication, so there was a lower likelihood of side effects. It also meant that the cost of care was reduced.
What is the Strategic Anemia Advisor?
Dosis’s flagship product, Strategic Anemia Advisor (SAA), personalises the dosing of Erythropoiesis Stimulating Agents (ESAs). ESAs are a class of drugs used to treat chronic anaemia, a common complication of chronic kidney disease.
SAA takes into account a patient’s previous ESA doses and lab levels, determines the patient’s unique response to the drug and outputs an ESA dose recommendation to keep the patient within a specified therapeutic target range. Healthcare providers use SAA as a clinical decision support tool.
What else is Dosis working on?
In the near term, we are working on releasing a personalised dosing module for IV iron, another drug that’s used in tandem with ESAs to treat chronic anaemia. We’re also working on personalising the dosing for the three drugs used to treat Mineral Bone Disorder. We’re very excited to expand our platform to these new drugs.
What are Dosis' strategic goals for the next 2-3 years?
We strongly believe that personalised dosing will be the standard of care within the next decade, and we’re honored to be a part of making that future a reality. In the next few years, we see Dosis entering partnerships with other companies that operate within value-based care environments, where tools like ours that help reduce cost while maintaining or improving outcomes are extremely useful.
What do you think AI's greatest benefits to healthcare are?
If designed well, AI in healthcare allows for a practical and usable way to deploy solutions that would not be feasible otherwise. For example, it’s possible for someone to manually solve the mathematical equations necessary to personalise drug dosing, but it is just not practical. AI in healthcare offers an exciting path forward for implementing solutions that for so long have appeared impractical or impossible.