Stanford Snyder Lab’s Post

🩺 The Illusion of ''EVIDENCE BASED MEDICINE'' 📓 No denying that RCTs are an excellent type of evidence, but it is still a reductionist way of practising medicine in my opinion. An RCT done on a bunch of 70 kg healthy male volunteers might produce a statistically significant benefit that generate an n number, but how much of that can we extrapolate to a real life patient with many chronic problems? Here are some problems with RCTs in medicine ➡ A reductionist, 'one-size-fits all' approach that cannot be applied to real life where we see complex patients with multiple co-morbidities ➡ Lack of consideration of individual genetics, lifestyles, body types, race and sex. For example, most trials are done in men, and it is difficult to apply the results to women whose physiologies are vastly different. ➡ Most RCTs are funded by pharmaceutical companies themselves, and there is no independent data analysis done, therefore there is huge bias. Studies have shown that pharma-funded medical trials are much more likely to produce a positive result. The ''science'' is where the money is. ➡ Many trials done by Pharma are not released into the public, they only publish positive trials. For example, if there are 7 negative trials, and 1 positive trial, they will publish just the one. ➡ Trials are often stopped early as soon as a statistically significant benefit is achieved. This is a perfect way to market a new drug, without EVER knowing the long term effects. ➡ 'A pill for each symptom' is again reductionist because each pill targets one specific physiological target, as if the disease is caused by one factor. In real life, disease is multifactorial with many root causes. Different hormones, enzymes and proteins communicate with each other, and disease is a manifestation of the disruption of homeostasis, which often takes many years to develop. 🤔 A few other limitations in medical practice: ❌ Most doctors don't have the time to review the latest research and evidence, therefore stick to guidelines. This is not their fault. ❌ Most guidelines are based on conclusions of studies. It is easy to hide study findings by not including them in the study, and drug benefits are exaggerated using statistical manipulation (For eg. relative risk reduction vs absolute risk reduction). ❌Guidelines are based on 'evidence' produced by the pharmaceutical industry. They do not even look at evidence based on lifestyle interventions or supplements, even though there is plenty. ❓ What is the point of valuing the clinical experience of doctors, if these experiences are just a series of 'anecdotes'? ❗ My clinical experience after seeing THOUSANDS of patients is telling me that these drugs worsen chronic disease, and have some value only in emergencies. If anything, the more drugs they take, the more likely they will get worse. #Pharmaceuticalindustry #ChronicDisease #Type2Diabetes #EvidenceBasedMedicine #Research #RandomisedControlTrials #FunctionalMedicine

🌟 N = 1 Medicine: A Paradigm Shift in Healthcare 🌟 🔍 The Problem: Modern medical research relies heavily on Randomized Controlled Trials (RCTs), but is this method truly meeting the needs of individual patients? 💡 A Startling Reality: Did you know that the top 10 highest-grossing drugs only benefit between 1 in 25 to 1 in 4 people who take them? This raises questions about the effectiveness of our current approach. 🔬 Reinforcing a Key Point: Our current medical research system—and by extension, clinical practice—is grounded in this idea of “lumping” people together. This approach sacrifices specificity and individuality, leading to a mix of responders and non-responders, strong and weak responders. For pharmaceutical companies, all that matters is achieving a “statistically significant” result in the population. But for patients, what truly matters is whether they, as individuals, are likely to respond to the treatment. Of course, clinicians know this. That’s part of the “art” of medicine. But, what if we made the “art” more bioindividial. More scientific… 🛤️ The Path to N = 1 Medicine: We need a new paradigm: N = 1 Medicine, where the focus is on specificity and recognizing individuality. The key to this future lies in data — YOUR data. We are entering an era where vast datasets can be collected on each individual, encompassing everything from your microbiome to your genome to your proteome to your transcriptome and so on… (this is multi-omics). By integrating these datasets and leveraging machine learning and AI, we can target the root causes of metabolic dysfunction with unprecedented precision. 🚀 The Way Forward: Imagine a future where 100% of the population enjoys metabolic health. Achieving this goal is possible through N = 1 Medicine. Let's embark on this journey together towards a healthier tomorrow. Watch: https://lnkd.in/eWg3kS3C #Healthcare #PrecisionMedicine #PersonalizedCare #MetabolicHealth #Nequals1Medicine Cc Dominic D'Agostino Adrian Soto Mota Benjamin Rolnik Enovone and big hat tip to Snyderlab Stanford

🩺 How Meta-Analysis Drives Decision-Making in Medical Science 📊 In this post, I’ll show you how meta-analysis can help us make complex decisions in medical science, from finding the best treatments 🩺 to understanding disease risks ⚠️.   Meta-analysis is helping us make better decisions in healthcare and improve patient outcomes. Let’s continue to harness this powerful tool to advance medical science! 🌟 #MedicalScience #MetaAnalysis #Research #Healthcare #EvidenceBased #DataDriven #MetaAnalysis #treatment #medicine #risk #death

I'm happy to report that my Precision Medicine course has been successfully finished! 🎓💼 Through the customization of medicines to each patient's specific genetic composition, lifestyle, and environmental circumstances, precision medicine is transforming healthcare. I have acquired priceless knowledge about the guiding ideas, innovations, and practical uses of this game-changing medical approach thanks to this course. My knowledge and abilities have grown, and I can now contribute to the progress of precision medicine in healthcare, from comprehending the analysis of genetic data to investigating tailored treatment plans. awaiting the opportunity to put these lessons into practice to improve patient outcomes and care. #Medicine Precision #InnovationInHealthcare #ContinuingEducation 🧬💉

📝 Missed Our Latest Talk on FAIR Principles in Medicine? Catch It Now on YouTube! In his presentation, Dr. Christian Niklas explored how the FAIR principles can transform clinical IT infrastructure, bringing us closer to the Virtual Human Twin (VHT) concept. The talk highlighted the importance of interdisciplinary collaboration and data integration to build personalized patient models, with a focus on ensuring trust and reproducibility in medical research. 🎥 Watch the full presentation on YouTube: https://lnkd.in/egB3m7GM

Dearest Readers... Some HUGE news, especially if you're into improving your health. Nick Norwitz has a video out - The Revolution No One's Talking About: Your Data, Your Cure. It's all about N=1 Medicine. It's all magic, but it starts to kick into high gear around the 2 minute and 20 second mark... So how do we get to N equals one medicine? Well, we need data, data, lots of data, your data. We are moving towards a future that can collect big data sets on an individual. In the most extreme examples and the sexiest examples in my opinion, this is called longitudinal multiomics. Multiomics referring to a compilation and an integration of all the OMS, the microbiome, the genome, the transcriptome, the proteome, the metabolome, all the OMS that make you unique and then an integration of these massive data sets paired with AI and machine learning to parse what's going on with you. I've been preaching this now for 10 years. But here's the twist - it's NOT just about the data. We're drowning in data - it's the return loop that engages the patient and directs to them to a better daily life journey using a series of small nudges. Lonnie Hirsch - this is what I keep yelling about. This is Healthcare 2.0, and it has a real business model that aligns costs and benefits that support everyone. https://lnkd.in/em3EK2QK

Open source does it again! New multimodal model that can be used as a foundation for finetuned model that allows for generalized queries about medical research and reference. This would be a major benefit to remote people all over the world who do not have direct access to medical care, information, or services. It could also help people simply hone in on their own personal medical issues in which they can present to thier respective primary care providers. This represents a big win for the public! #ageofautomation #opensource #multimodal Stanford University Harvard University UC Santa Cruz Science Huazhong University of Science and Technology Paper 🔗 https://lnkd.in/eV2b3t-Y Huggingface 🔗 https://lnkd.in/e2KXJHiA https://lnkd.in/ertZ-kTR

4 min to learn something new watch to learn about The Evolution Of Evidence based Medicine: Past, Present, And Future https://buff.ly/3L1w7w7 #EvidenceBasedmesicine

AI-Driven Precision Medicine: The Future of Personalized Healthcare Our health landscape is rapidly transforming, courtesy of AI-driven Precision Medicine. Tapping into patient-specific data and predictive algorithms, scientists can now offer bespoke diagnostic and treatment plans – breakthrough! These advances promise therapy strategies tailored to individual genetic and biometric data translating to more effective, less harmful medical intervention practices. Soon, one-size-fits-all approaches in medicare will become ancient history. What are your thoughts on this?

This week, we interview William Hind, CEO of Alpharmaxim Healthcare Communications, on their innovative Healthcare Behaviour Insights Tool (H-BIT) developed with Aston University. 🧠💡 Discover how H-BIT uses behavioral science to address barriers in adopting new medical therapies and its potential impact on the pharma sector. Get insights into the inspiration behind the tool, overcoming challenges, and tips for aspiring leaders. https://lnkd.in/dUEBw4kF