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- Issue No. 6: The Year Of Bots And Weight-Loss Drugs
Issue No. 6: The Year Of Bots And Weight-Loss Drugs
2 Breakthroughs + 2 Prompts To Fix Your Nutrition in 2024
Happy Thursday Zapien š
We hope youāre enjoying those last days of the year!
2023 was an epic one for health and technology. Let's look back at two major breakthroughs of the past year that have the potential to change the field for decades to come.
LONGEVITY BEAT
Breakthrough No. 1: GLP-1 Drugs Revolutionize Weight Management
Obesity affects a large proportion of adults in the United States and Europe. It's both a personal struggle and a public health crisis linked to serious health conditions.
Yet drug treatments for obesity have a poor reputation, likely due to both, horrible marketing campaigns and limited effectiveness.
Hence, one of the big breakthroughs of 2023: The development of GLP-1 receptor agonists for the treatment of obesity.
The first GLP-1 drug, exenatide (Byetta), was approved for type 2 diabetes in 2005. Almost five years later, Novo Nordisk introduced liraglutide (Victoza), which is based on human GLP-1. Initially approved for diabetes, it won U.S. FDA approval for obesity in late 2014.
The real breakthrough came with Novo Nordisk's semaglutide. Approved in the U.S. for weight management two years ago, it's sold as Ozempic for diabetes and Wegovy for obesity. Semaglutide stands out because it requires only one injection per week (rather than per day).
A key study showed that patients lost 15% of their body weight in about 16 months. Patients also reported a dramatic reduction in food cravings.
And thereās more: Recent clinical trials have shown that in addition to weight loss, GLP-1 drugs also reduce the risk of heart attack and stroke in patients with Diabetes.
Unsurprisingly, Novo Nordiskās market value now exceeds the GDP of its home country, Denmark.
But of course, not everythingās sunny (especially not in Denmark): There are concerns about long-term use, cost and side effects such as gastrointestinal problems and potential risks of bowel obstruction and pancreatitis.
Breakthrough No. 2: LLMs Transform Healthcare
Whether you witnessed the debut of ChatGPT in late 2022 or only started talking to the Large Language Model (LLM) chatbot in 2023, by now you've probably become fast friends.
ChatGPTās ability to write (more or less) well-informed texts on just about any topic has led to a lot of interest in LLMs, including in many areas of healthcare.
We've selected a few of these emerging trends:
ā¢ Clinical Note-taking: From filling out patient charts to categorizing and answering emails, freeing clinicians from administrative tasks is one of the great potentials of LLMs. Oracleās Clinical Digital Assistant and AWS HealthScribe are just two arising tools to mention.
ā¢ AI-assisted Diagnosis: Taking notes a step further, conversational LLMs can be used to discuss diagnoses, create or enhance reports and provide virtual healthcare services.
ā¢ Personalized Health Plans: LLMs are now used to create customized diet, exercise and wellness programs based on personal health data. One of many examples is IntelliHealth, where LLMs help create personalized health plans for individuals with obesity.
ā¢ Medical Research Analysis: Summarizing and interpreting vast amounts of medical literature and research data, including analysis of clinical trial data for pharmacological research and drug development.
ā¢ Coaching and Mental Health Support: LLMs are also used to provide basic psychological support and guidance and determine when to refer to a human therapist. Example: Woebot, a mental health chatbot.
Clearly, LLMs are still in their infancy and the opportunities are balanced by limitations and concerns (which we will address another time).
From a regulatory perspective, as of this fall, no device using generative AI or powered by LLMs has been approved by the FDA.
Perhaps one day, we will each have a personal LLM trained on our health data to coach us on staying healthy.
SHORT HACK, LONG LIFE
History repeats itself. When in 1993, Tim Berners-Leeās World Wide Web launched in the public domain, people started to see the internet as more than just a temporary fad. The internetās mainstream adoption took years, but with 180+ million ChatGPT users and a whopping 1M+ users after only 5 days, AI is here to stay and disrupt things we probably arenāt aware of yet. š§
This time, letās not wait until we are sure but celebrate the opportunities we got through LLMs to build your personal nutrition coach and 3-star Michelin chef de cuisine for free.
To keep things simple, we created a meal planning prompt your 100+ years old grandpa could use by just filling out the [brackets], hitting enter and seeing the chef himself plan around your health goals.
Before jumping into the cooking mode, letās first feed the AI with some personal data to hit your calorie sweet-spot based on your personal goal:
Do this first:
1. Copy/ Paste prompt 1 into your LLM.
2. Fill out the brackets.
3. Hit enter and let the AI do the work.
āļø Prompt 1: Personalized Calorie Calculator
My personal data:
ā¢ Age in Years: [Enter age]
ā¢ Gender: [Choose: Male/Female]
ā¢ Weight: [Enter weight in KG or LBS]
ā¢ Body Fat Percentage: [Enter body fat %]
ā¢ Height: [Enter height CM or IN]
ā¢ Activity Level: [Choose: Sedentary, Lightly Active, Moderately Active, Very Active, Extra Active]
ā¢ Fitness/Health Goal: [Enter goal]
ā¢ Pace of Achievement: [Choose: Slow, Moderate, Fast]
Based on my personal data calculate:
1. My Basal Metabolic Rate based on the revised Harris-Benedict Equation from Mifflin-St Jeor (BMR).
2. My Total Daily Energy Expenditure (TDEE).
3. Make adjustments to my TDEE based on my health goal.
4. Calculate my ideal macronutrients based on my health goal.
P.S. Iterate and fine-tune the variables if the initial outcome does not meet your expectations.
P.P.S. Should the results remain unsatisfactory, feel free to seek additional information from GPT. Approach your AI as you would a real coach, asking for the necessary guidance to achieve the ideal result.
Do this next:
1. Copy/ Paste prompt 2 into your LLM.
2. Delete irrelevant sections you donāt need from the prompt.
3. Fill out the brackets (Point 9.: Copy/paste your calorie count + macronutrients from prompt 1)
4. Hit enter and let the AI do the work.
šØāš³ Prompt 2: Personalized Calorie Calculator
Based on my data calculate my personalized meal plan:
1. Number of Meals: [Enter the number of meals]
2. Meal Type: [Specify meal type, e.g., dinner]
3. Number of People: [Enter the number of people]
4. Budget Limit: Under [Enter budget amount in dollars]
5. Ingredients per Recipe: Maximum [Enter number] ingredients
6. Ingredient Overlap: At least [Enter percentage]% ingredients shared with [Enter number] other recipes
7. Preparation Time: Less than [Enter number] minutes per recipe
8. Excluded Ingredients: [List ingredients to exclude]
9. Nutrition Focus and Goals: [Add your calorie count + macronutrients from prompt 1 here]
10. Mandatory Ingredients: Include [Enter preferences, e.g., protein, whole grain, vegetable]
11. Cuisines: [List desired cuisines or state 'variety']
12. Kitchen Tools Available: [List available kitchen tools, e.g., microwave, pressure cooker]
13. Cooking Instructions: Brief instructions for each recipe
14. Shopping List: Grouped by category, with approximate cost per ingredient
15. Dietary Preferences/Restrictions: [State preferences, e.g., vegetarian, gluten-free]
16. Cooking Skill Level: [Specify skill level: beginner/intermediate/advanced]
17. Seasonality and Local Availability: Preference for [Enter preference, e.g., seasonal/local] ingredients
18. Meal Variety: [Specify variety, e.g., soups, salads, main courses, desserts]
19. Health Considerations: [State considerations, e.g., heart health, diabetes-friendly]
20. Meal Prep/Storage Instructions: For storing and reheating
21. Ingredient Substitutions: [State level of flexibility]
22. Organic/Non-GMO Preferences: [Specify if required]
23. Cultural/Religious Practices: [Mention practices, e.g., halal, kosher]
24. Sustainable Cooking Practices: [Preference for eco-friendly methods]
25. Brand Preferences: [Specify brands, if any]
26. Leftover Utilization: Ideas for using leftovers
27. Ingredient Type Preference: [Choose from Fresh, frozen, canned]
P.S. Note that results may vary due to real-time (e.g., price changes) or geographical factors (e.g., food availability and seasonality).
ZAPIEN OF THE WEEK
Anika (Germany)
What are you currently optimizing?
Sleep. Iāve had really good sleep quality and performance for years. Bryan Johnson inspired me to take it to the next level.
I am shifting from āplanning my sleep around my lifeā to āplanning my life around my sleepā: perfecting sleeping schedule, hydration and getting into a nighttime practice of breath work/meditation/sound bath.
Whatās your favourite tool?
I am using WHOOP to track my sleep and get tips from the personalized Whoop Coach. Also, mouth tape works wonders for my sleep. Experimenting with sleeping alone, temperature and darkness ā not that easy with a family š
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BECAUSE WE LOVE NUMBERS
ā”ļø -3% ā”ļø
This could be the reduction in American calorie consumption by 2030 due to weight loss drugs, according to a Bank of America projection.
ABOUT US
Lisa has a PhD in Medical Biology. She was a researcher at Harvard Medical before developing D2C laboratory diagnostics.
Karol is a serial founder who helped thousands of people build healthy eating habits with Upfit.
Simon is a healthcare entrepreneur who brought the doctor online-booking service Doctolib to Germany.
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New Zapienās products and services are not intended to substitute for professional medical guidance. Our content and media offerings do not aim to diagnose, cure, or address any medical issues.
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