Why AI Development Needs to Prioritize Women 50+

Ageism, AI, Research, ScienceLeave a comment

Let’s be blunt: if you’re a woman over 50, you’ve likely been overlooked more times than you can count – in advertising, in healthcare, and now, in the brave new world of artificial intelligence. But this isn’t just another gripe about being ignored or even insulted. This is about health, wellbeing, and the disturbing fact that the most powerful tools shaping the future of medicine might not even know you exist. Welcome to the strange new frontier where data rules and women 50+ barely register. This was the original title image AI generated when using this prompt: Woman 60-plus, mahogany coloured hair, very short pixie cut, dressed in casual golden-yellow sweatshirt. She is standing in front of a huge widescreen, in a high-tech AI environment. It seems AI doesn’t really know what women aged 50 or 60 and above look like – I always get images of rather young, very slim women, but with hairstyles typical of older people. The Invisible Demographic Women over 50 are not a niche market – they’re a demographic powerhouse. And yet, in the world of medical research and tech development, we’re still treated like a rounding error. The Historical Exclusion “If you look at the history of medical research, women were routinely excluded from clinical trials until the early 1990s,” says Dr. Elena Rodriguez, an expert in women’s health. Why? Because hormones made things “too complicated.” So instead, researchers just studied men – and pretended women’s bodies worked the same way. (Spoiler alert: they don’t.) The result? A knowledge gap so big, you could drive a tour bus full of menopausal women through it. And while the NIH began requiring the inclusion of women in 1993, the damage was done. Especially for older women, who are still vastly underrepresented. A 2023 analysis in The Lancet showed that women over 50 made up just 12% of clinical trial participants – despite representing nearly 20% of the population in developed countries. That’s not a small oversight. That’s systemic invisibility. By the way, this isn’t just a thing in medical research – Social Sciences have their quirks too. When I finished my first doctorate, my supervisor pointed out that most user interface studies rely on white male students. He was actually relieved we didn’t have to use rodents – because he was worried to get way too attached to those little critters. Digital Ageism: A New Twist on an Old Problem Just when we thought we were catching up, along came AI. And with it, a fresh version of the same old bias. Enter digital ageism – a fancy term for what happens when tech is built by and for younger people. “It appears in assumptions about older adults’ capabilities, in designs that ignore vision or dexterity changes, and most importantly, in the data used to train AI systems,” explains Dr. Maya Patel, a technology ethicist. The numbers are shocking: a 2024 study in “npj Digital Medicine” reviewed 78 healthcare AI systems and found that adults over 65 were underrepresented in 83% of the datasets. And women over 50? Represented in fewer than 5% of them. Double Trouble: Gender Bias + Age Bias “When we talk about bias in AI, we often discuss gender and age separately,” says AI researcher Dr. James Wilson. “But for women over 50, these biases compound – making them essentially invisible to AI.” A 2023 study in JAMA Internal Medicine backs him up: AI diagnostic tools performed worse for postmenopausal women than for any other group. Why? Lack of representation in training data. “It’s a classic case of ‘you can’t be what you can’t see,’” adds Dr. Rodriguez. Bias in, Bias out: How AI Can Worsen the Problem You’ve heard the phrase “garbage in, garbage out”? That’s AI 101. If flawed data goes into the system, the AI just learns those flaws by heart. “AI systems learn from historical data,” says Dr. Wilson. “If that data includes the underdiagnosis of heart disease in women or dismissals of menopausal symptoms, those mistakes get baked in.” Real-Life Consequences “These are real systems, affecting real women, right now,” says Dr. Franz (yes, this is me, in one older article). AI Can Create a Vicious Cycle “If an AI system misdiagnoses women over 50, it can lead to worse care,” warns Dr. Sarah Chen. That leads to poorer outcomes, which produces more biased data – and the cycle continues. “It’s a digital version of the Matthew effect – the rich get richer, and the poor get poorer,” explains health equity researcher Dr. Sarah Chen. “In this case, groups that historically received better healthcare continue to do so, while those who were marginalized become further marginalized through algorithmic reinforcement.” Why This Demographic Is So Unique (and So Ignored) AI’s blind spot for women 50+ isn’t just unjust – it’s dangerous. Because our bodies are changing in ways that younger researchers (and algorithms) don’t fully grasp. Menopause and Beyond “Menopause isn’t just hot flashes,” says endocrinologist Dr. Rebecca Martinez. It affects bone density, metabolism, immune response, brain chemistry, and more. Cardiovascular risk goes up, but symptoms look different than in men. If AI systems don’t account for this? Misdiagnoses happen. Multiple Conditions, Interacting in Complex Ways Women over 50 are often juggling several health issues at once: osteoporosis, heart disease, autoimmune disorders. “These don’t exist in isolation,” says Dr. Franz. “AI needs to recognize how they interact – but it can’t if the data’s missing.” We Present Differently Women’s heart attacks often show up as back pain, fatigue, or shortness of breath – not the textbook chest-clutching you see on TV. If AI hasn’t been trained on these patterns, it’ll miss them. We React to Meds Differently As Dr. Lisa Murray points out, “Pharmacokinetics change with age and menopause.” That means AI needs to understand how medications behave differently in our bodies. Right now, it often doesn’t. The Research Gap That Keeps Biting Us Even with NIH policies requiring more inclusivity, the data gap persists. A 2023…

AI powered no nonsense health coaching

AI-Powered No-Nonsense Health Coaching for Women 50+

AI, Research, Science, StudiesLeave a comment

Science, Sanity, and a Digital Dream Team Why do women 50plus need health coaching? Good question! Let’s face it: navigating menopause and the years beyond isn’t exactly a walk in the park. It can feel like your body suddenly stopped reading the manual. Weight gain, brain fog, energy dips, sleepless nights – these changes can be overwhelming, especially when combined with outdated advice and cookie-cutter diet plans. That’s where I come in. I specialize in guiding women over 50 through menopause and beyond. My focus is on lasting health, mastering weight without deprivation, and keeping your brain sharp – all without falling into the traps of fads or fear-based wellness advice. I believe midlife is the perfect time to take back control of your health and your future – not by doing more, but by doing things smarter. This is, where all my courses and my content come in: And yes, that includes getting a little help from my favorite digital co-pilot: AI. My No-Nonsense Approach to 50plus Health Coaching Over the years, I’ve seen too many women fall for health, wellness, and nutrition trends that overpromise and underdeliver. So, I’ve made it my mission to offer something better – something that works for women like us. On a side note: With over 25 years in Corporate Controlling in the IT industry, I’ve perfected my BS radar and embraced my unapologetic love for all things tech. Here’s what I build into all of my online courses and programs: Everything I teach is grounded in cutting-edge science. Or, in plain English: I always validate studies, actually read them, and keep an eye on what’s going on in science. But what truly sets my approach apart? A lifetime of hard-earned, sometimes painful, experience. As a recovered anorexic, I’ve been through the wringer – years of tiring treatments, hospital stays, and an endless parade of therapists who were absolutely lovely people but seemed to know more about Freud than food. Nutrition? Emotional eating? Starving? Let’s just say their expertise often left me feeling hungrier for answers than actual meals. How I Use AI in My Work – and Why It Matters AI isn’t just some buzzword I sprinkle in to sound up-to-date. And because everybody is using it. My first encounter with AI was in 1987 (yes, I am that old) and the program’s name was ELIZA.[1]Eliza was one of the first AI programs and impressed many people who talked to her. So, by the time I “met” her, “she” was already of age. I use AI daily as a creative partner, research assistant, and productivity booster. It helps me deliver better results to you – and frees me up to focus on what I do best: researching, teaching, guiding, and helping women thrive. Here I will tell you a bit more about some of the apps I use regularly: 🧠 1. Research & Content Curation Elicit, SciSpace Staying on top of the latest research, especially in the field of nutrition, is essential – but also incredibly time-consuming. In addition, research on women 50plus is scarce – many groundbreaking discoveries do not include this group, let alone focus on issues of menopause. AI tools like Elicit, SciSpace, Perplexity, Research Rabbit, Semantic Scholar, and Consensus (just some apps I tried) help me sift through mountains of academic material. There are many studies that I might miss, when searching manually. All of these tools can quickly highlight what’s relevant, making it easier to decide, what I need to read in detail. NotebookLM A complete life-changer for me has been NotebookLM, Google’s Gemini-based AI. This tool allows me to quickly summarize essential highlights from URLs, videos, audios, and uploaded PDFs. It is better than I am at extracting key points from large amounts of my content, enabling me to create Q&A sections, timelines, and detailed mind maps. For me, NotebookLM is not just a tool for organizing knowledge – it helps me generate fresh ideas for lessons and content, in a new and creative way.   Figure 1: NotebookLM Mind Map Napkin For visualizing my findings or output generated by NotebookLM or other tools, I often use Napkin, another tool to organize and connect ideas visually. Napkin is perfect for brainstorming sessions or when I need to uncover unexpected links between concepts, where I would have used pen and paper before. Figure 2: Napkin Overview “My Business Micro-Niche” Gamma Finally, the synergy between these tools comes full circle with Gamma. Using the structured outputs from NotebookLM, and visuals from Napkin, I can easily create stunning presentation slides with Gamma. Now I have to confess: although GAMMA creates great slides, visually appealing, I grew up with PowerPoint. Therefore, I often download my slides to PowerPoint format and add my final touches, animations and more. Together, NotebookLM, Napkin, and Gamma create a powerful system that allow me to discover new ways of presenting information, but also to discover synergies between various areas of expertise, where you wouldn’t expect to see overlaps. 📝 2. Writing & Editing Support Whether I’m drafting a new course module, refining a blog post, or creating educational emails, ChatGPT is my go-to assistant. It helps me brainstorm, check tone, simplify complex explanations, and even make sure I haven’t missed a typo. To make it easier and to avoid having to repeat information, I am using projects in ChatGPT and custom GPTs. The final voice? Always mine. Occasionally, I’ll even scrap entire texts and rewrite them from scratch – because if the flow of thought doesn’t match my vision, it’s not making the cut. But AI helps me get there faster. 🎥 3. AI-Generated Voiceovers I use Revoicer, an AI voice tool, to narrate videos for my courses. It saves me hours of recording, editing, and worrying about sounding tired or stumbling over words. This ensures you receive clean, clear lessons while I stay focused on creating better content. Most of the time, I use a female voice with a lovely British accent, which brings back…

personalized nutrition; genetic testing: women 50plus

Personalized Nutrition – Because We Are One of a Kind

Personalized Nutrition, Research, Science, StudiesLeave a comment

Seen that too? You bump into a friend you haven’t seen in ages, and voilà – she’s dropped two dress sizes and radiates the smug glow of someone who knows she’s cracked the code. Of course, you ask for her secret: it was the XYZ Diet. Then you talk to a neighbour whose cousin also swears by the same diet. Intrigued, you Google it, follow every rule religiously… and somehow, your jeans start getting tighter. What the hell? Well, of course it didn’t work. Your friend is a few years younger, has a totally different daily rhythm, and eats with different preferences. You wouldn’t share her wardrobe and expect it to fit – especially before her diet. So, what’s really going on here? In 2022, I came across research tracking individuals’ blood sugar responses to various foods. The findings were fascinating: even when eating identical meals, people showed significant personal variability in their blood sugar levels. This explains, why your friend’s great diet doesn’t work for you and highlights the potential of tailoring nutrition based on individual metabolic responses. Or, in plain English: you need to figure out, what works for you. But where should we begin? Do genetics play a role? If yes, how can we adjust our nutrition accordingly, in real life, without spending time in a lab? Adding to the complexity, scientific studies have shown that the gut microbiome also contributes to these differing responses. So, what can we learn from this research, and how can we influence our gut microbiome? In this discussion, I will address these questions and explore the value of genetic testing in understanding dietary predispositions. I’ll also dive into the development and use of technologies like continuous glucose monitors and AI-driven microbiome analysis for personalized dietary guidance. However, let me manage your expectations: science hasn’t discovered a magical solution to shed pounds with no effort (that is, what I am waiting for). Instead, we’re moving towards a deeper understanding of how individual biological responses to food can improve health outcomes. This marks a shift away from one-size-fits-all nutritional guidelines to more personalized approaches tailored to each person’s unique biology. Do our genes dictate what we should eat? Here’s something we can probably all agree on: every person is unique. Despite the fact that our genetic makeup is 99.7% identical to everyone else’s on this planet, our bodies still function in dramatically different ways. That elusive 0.3% is responsible for the glorious messiness of human variation – including how we metabolize food. Even though we’ve come a long way in decoding the human genome, there are still large swathes of genetic territory that remain as mysterious as a teenager’s mood swings. And here’s where it gets interesting… Are Genetic Tests Actually Useful? In recent years, scientists have discovered more about the way genes influence how we process nutrients. A new field has emerged: nutrigenetics. Its grand vision? To craft individualized nutrition plans using your very own DNA blueprint. But let’s not get ahead of ourselves – we’re not quite there yet. Sure, there are companies offering genetic tests for around €189. You send in a saliva sample and a few weeks later receive a glossy report. Sounds promising – except that these tests usually analyze just 23 out of over 1,000 relevant genetic variations, known as SNiPs (Single Nucleotide Polymorphisms). These SNiPs are tiny tweaks in your DNA that can influence everything from how you handle caffeine to how prone you are to storing fat. But how much insight can 23 puzzle pieces give you in a thousand-piece picture? Warning: Science Incoming At the Technical University of Munich, researchers are running some truly intriguing studies. They’re trying to understand why some people lose weight easily, while others gain just by looking at cake. They’re analyzing saliva, urine, gut microbiome samples, and, yes, DNA. Some early findings are already shaking things up: Researchers had hoped to find strong genetic culprits for obesity – and they have, sort of. But the variants they’ve uncovered only explain small effects, often around 3 kilograms of weight difference. Even those with “fat-storing” variants in the FTO gene can easily counteract the risk with exercise. So yes, your ancestors might’ve survived a famine, but that doesn’t mean your desk job agrees with their legacy. Concerns About Genetic Testing Let’s be honest: if commercial genetic tests are only analyzing about 23 out of 1,000 possible SNiPs, we’re really just playing biological Sudoku with half the grid missing. The nutrition plans generated from these tests? Impressive in length, cautiously worded in tone – and not exactly revolutionary. You could get similar advice from a qualified nutritionist, minus the genome deep dive and data privacy headache. Some providers offer personal consultations for an extra €200 – but again, that’s basically a conventional dietary coaching session with a sci-fi twist. Unfortunately, many of these consultations overlook the most important variables: your daily routine, your food preferences, your stress levels, and the rest of your glorious, messy life. And before you say, “Well, it’s just a test – what’s the harm?” let’s talk data privacy for a minute: But back to nutrition. What is personalized nutrition really about? Here’s the kicker: even though our genes matter, they’re just one part of the story. Personalized nutrition isn’t about chasing a one-size-fits-no-one solution. It’s about understanding how your body uniquely reacts to food – and that’s where blood sugar comes in. Spikes in blood sugar (and the insulin rollercoaster that follows) have been linked to cardiovascular issues and weight gain. When your meals are packed with simple carbs like sugar or white flour, your blood sugar soars. The pancreas scrambles to bring it down by releasing insulin – and if this keeps happening, the body gradually becomes insulin-resistant. Cue: more insulin, more fat storage, and potentially, the slow march toward type 2 diabetes. So, just cut sugar and all will be well, right? Skip dessert, and live happily ever after? If only. The Surprising Truth…

Eat smart at 50+, nutrition for women over 50, healthy eating midlife, menopause and metabolism, science-backed nutrition, hormone-friendly diet, sustainable weight loss, emotional eating triggers, mindful eating habits, evidence-based health advice, real wellness for real women

Eat Smart at 50+: How to Decode Nutritional Studies…

Research, Science, Studies1 Comment

…without losing your mind? Welcome to the world of nutrition science, where one day eggs will kill you, and the next, they’re hailed as the holy grail of healthy fats. If you’re a woman in midlife who’s finally decided to take charge of your nutrition, chances are you’ve been hit with a flurry of conflicting advice. Should you go low-carb? Avoid dairy? Start intermittent fasting? Eat more soy? Less soy? What about red wine—is that your heart’s best friend or worst enemy? Take raspberries, for instance: a study from China gave them two thumbs up for blood pressure. But then a Finnish party pooper couldn’t back that up. Or let’s chat about beta-carotene, Vitamin A’s wingman: it’s supposed to fight cancer with its antioxidant mojo. But crank up the dose and suddenly it’s playing for team pro-oxidant, potentially cheering on certain cancers. Don’t freak out, I’ll spill the beans later in the text and tell you why all these studies might just be different pieces of the same puzzle…And, by the way, if you want to learn more about “Busting Myths, Boosting Health”, you should get my free E-Book. In this book I tell you some of the stories, myths, but also grains of truth in nutrition. Welcome to the wonderfully confusing world of nutritional studies. In this article, I’ll help you: Why Are Nutritional Studies So Confusing? One Study Says “Yes,” Another Says “No” Ever heard that resveratrol in red wine is good for your heart? Yep. But wait—other research says there’s not enough in a glass to actually make a difference. And drinking more wine for the sake of heart health? Not exactly a wellness strategy. That’s because different studies: The truth? Most studies aren’t wrong—they’re just zooming in on different puzzle pieces.   How to Tell if a Nutrition Study Is Worth Trusting ✅ 1. Was It Done on Humans Like You? Women over 50 are shockingly underrepresented in medical and nutrition research. Why? Hormones. Apparently, we’re “too complicated.” But guess what? That means many studies simply don’t apply to us. 💡 PRO TIP: If you’re postmenopausal, look for studies that explicitly include women in your age group. A study done on 25-year-old men says nothing about your metabolism, hot flashes, or belly fat struggles. And in this context, I am also not too happy about using rats…. 📊 2. Was the Sample Size Large Enough? The larger the group, the more reliable the findings. Simply because it gives you a better chance to analyze a representative sample. A case study on one chain-smoking centenarian who lived off sausages doesn’t mean you should. The caveat of large sample sizes: they are way more expensive and take more effort to coordinate. Interviewing on centarian might be fun, do that with 1000 people…you might fail just to find them. Look for: 🧬 3. What Was Actually Tested? Let’s take raspberries, for example: So, is the raspberry a superfood or not? Well, it depends on how you consume it, who you are, and what the researchers tested. 🧠 This is why nutrition studies are complex. Whole foods work differently from isolates or supplements. 💸 4. Who Funded the Study? Nutrition is big business. And yes, corporate funding can skew results. A chocolate bar company might fund a study showing that cocoa improves mood (true—at a certain dose). But is it peer-reviewed? Independent? Or just a sneaky marketing trick? Watch out for: 📚 5. Was the Study Peer Reviewed and Published? If a study appears in a reputable journal (e.g., The American Journal of Clinical Nutrition, The Lancet, JAMA), chances are it’s been vetted by experts. 🛑 Avoid quick-turnaround “pay-to-publish” sites that skip peer review. These are called predatory journals and often publish poor-quality or fake studies just for profit. In nutrition research, you want a beefy group of human (or animal) participants. That’s how you get results that aren’t just applicable to one’s chain-smoking granny who lived to 100. Your grandma might provide insights for case study, but Individual cases don’t cut the mustard in nutrition science. You might want to report on your granny, formulate questions, make assumptions, even draw conclusions – as long as it’s crystal clear to the reader. 🤓 Why Do Studies Often Contradict Each Other? Yes, I brought up this question earlier in the text and I repeat it here, because you Differences in population (age, sex, genetics, pre-existing conditions): it is quite clear, that results will differ significantly, when looking at different populations. Especially when it comes to topics that are important to women at 50plus. Food forms (whole vs. extracted, synthetic vs. natural): although it might be interesting to understand, how extracted versions of a food work, it is not that relevant in real life. So if you read claims about superfood XYZ, validate: was it the real thing? Dosages (more isn’t always better—beta-carotene in high doses becomes a pro-oxidant, promoting cancer rather than preventing it!): an important question for many micronutrients: I have experienced several clients with health issue after overdosing on supplements. Study design (observational vs. controlled, short-term vs. long-term): just check, how the study was conducted. When you participate in surveys, do you always tell the truth? Just asking… 💡 A “contradiction” may just be two studies looking at different angles of the same truth. 👩‍⚕️ What Should Women 50+ Do With This Information? The answer isn’t to give up on nutritional science. It’s to get smart about how you interpret it. Ask yourself: For example: 👉 Intermittent fasting may work wonders for some women by improving metabolic flexibility and sleep. But for others (especially those with adrenal fatigue or high stress), it might mess with hormones and sleep cycles. Both results can be true—it depends on your context. 🧠 Eat Smart Strategy: Use Science to Inform, Not Dictate Here’s how to build a better relationship with research and your plate: 🔬 1. Use studies to inform your curiosity—not fuel fear Nutrition isn’t about rules—it’s about patterns. If one…