Gil Blander

​This is a proud moment for all of us at Twin Health. When we started this journey, our mission was to use technology to reverse chronic disease by healing the dysfunctional metabolism which was the root cause,, not just manage it. ​The latest independent review by the Validation Institute confirms what we have always believed: True health transformation and financial sustainability go hand-in-hand. ​Seeing $10,000+ in annualized savings per member, driven by reduced reliance on high-cost medications and genuine clinical improvement, is a massive milestone. It proves that our AI Digital Twin technology isn't just innovative; it is the rigorous, science-backed solution the healthcare system desperately needs right now. ​We are incredibly proud for achieving this level of rigor and transparency. We are just getting started. Twin Health India Bajaj General Insurance Star Health and Allied Insurance Co. Ltd ​#TwinHealth #DigitalTwin #HealthcareInnovation #ChronicDiseaseReversal #HealthTech

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BLISS technology uncovers what was once hidden — biofilm, early risk, and so much more #WhatBLISSSees #BLISS #AIOBIO #Biofluorescence Valerie Dangler, RDH, BSDH Sarah Crow, RDH Anjuli Avis Kristin Evans BS, MCL, RDH "The pH RDH" Han Na Jang, RDH, MSDH Michelle Rodriguez Baek-Il Kim Elbert de Josselin de Jong Erik van den Heuvel Liviu Steier Dr.med.dent. FICOI FIAG FRSM FADFE https://lnkd.in/dyTpvyUM

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Dr. Ronald Klatz, MD, DO Worldhealth.net Insilico Medicine has published new research in npj Aging revealing how its AI‑driven PandaOmics platform identified two powerful dual‑purpose therapeutic targets, PRPF19 and MAPK9, that sit at the intersection of hepatocellular carcinoma (HCC) and cellular senescence. Using an AI‑powered meta‑analysis across 11 multi‑omic datasets covering more than 1,600 human liver samples, the team prioritized genes linked to both tumor progression and senescence #biology. Experimental validation showed that knocking down PRPF19 or MAPK9 suppressed HCC cell proliferation while also reducing #senescence markers such as SA‑β‑Gal and SASP‑related #inflammatory signaling. This “senomorphic” effect, reducing harmful senescence without killing healthy cells, highlights their potential to both slow #cancer growth and modulate aging‑related pathways. The study underscores how AI‑enabled target discovery can uncover shared mechanisms between chronic disease and #aging, opening new avenues for precision therapeutics. #antiaging #cancerresearch #senescence #ai #chronicdisease #innovation #regenerativemedicine #medicine #medicalresearch #drugdiscovery #hepatocellularcarcinoma #pandaomics #precisionmedicine #health #wellness Source: https://lnkd.in/gWtghkQ8

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💡 How Telemetry Tuning Helps Combat Toxins — Wirelessly! 💡 At Chadasha Bioresonance, we’re using AI-directed telemetry tuning to support the body in eliminating viruses and environmental toxins — safely, non-invasively, and in real-time. 🚀 🔍 Here’s how it works: • 📡 Wireless body scan: AI collects bio-signals from your body without invasive procedures. • 🎯 Targets weak spots: Identifies viral imprints, toxin stress zones, & energetic imbalances. • 🧬 Precision tuning: Applies specific frequencies to harmonize, support detox & restore balance. • 🔁 Real-time AI feedback: Adjusts therapy instantly based on your body’s responses. ✅ Clinical Studies Support: • 📖 EM fields help modulate cells & support detox (Markov, 2007) • 📖 Frequency therapy reduces chronic inflammation (McMakin et al., 2005) • 📖 Wireless health tech (WBAN) is safe & effective (Chen et al., 2011) 🌿 Non-invasive. Personalized. Safe. 🔗 Learn more 👉 https://lnkd.in/gGVh-qEU

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AI is likely to be the greatest efficiency multiplier since the Industrial Revolution. Those who aren’t adapting will struggle and fall behind. Medeloop is leading the way in using AI to analyze scientific and medical data, taking weeks to months of work by a team and compressing it into a few minutes of work by one individual, regardless of technical expertise. This partnership is validation of cutting edge agentic workflows, and an important milestone for Medeloop. Join the revolution.

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The $4.5 Trillion Human Optimization Bluff! Your Neural Frequencies Control More Than Any Peptide Stack Biohacking trends like peptides, NAD+ boosters, and AI-driven protocols are powerful. But they miss the single biggest controller of your optimization results: Disrupted Neural Frequencies When your frequencies are out of coherence, your entire system operates sub-optimally. Your hormones miscommunicate. Your cellular regeneration slows. Your mitochondria underperform. It’s like running premium fuel through an engine that’s misfiring. Think about it: You can inject all the peptides you want, but if your neural oscillations governing hormone receptors are disrupted, absorption tanks. You can take every longevity supplement, but if your cellular frequencies are chaotic, utilization crashes. No stack can reliably outperform persistent frequency disruption. The most effective optimization strategy isn’t found in another compound — it’s found in restoring your body’s natural frequency coherence. Master your frequencies, and every other optimization finally starts working. That’s why we’re bringing BioCoherence to 100 pioneers. After 14 years in clinics, we know: Frequency is the foundation everything else builds on. Ready to stop fighting your biology and start conducting it? 🎯 Apply for Pioneer Access World Biohacking Summit Demo: 9-11th December 25, Dubai #BioCoherence #FrequencyMedicine #Biohacking #NeuralOptimization #WorldBiohackingSummit #FrequencyFirst #BeyondSupplements #DubaiBiohacking #OptimizationTruth #CellularCoherence #PeptideStack #FutureOfWellness #ANFCare #FrequencyIsFoundation

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Moltbook seems to be the newest kid on the AI block- but what could go right or wrong in health AI, if collaborative AI agents align on data, algorithms and much more? My colleague Ami Bhatt, MD wrote an excellent piece about some of the potential issues, specific to medicine. From her post: Error amplification - A subtle hallucination or incorrect assumption can be repeated and reinforced until it begins to look like consensus. Bias reinforcement - Agents trained on skewed data can amplify inequities by aligning around patterns that systematically sideline certain populations. Credential mimicry - Without verification, agents can convincingly present themselves as domain experts, including clinicians, without accountability. Privacy leakage - In collaborative environments, agents may infer or remix sensitive information. We honestly do not know what may evolve from this 'social media' experiment. What we DO know, is that doctors, clinicians must be involved in AI development, implementation and maintenance to ensure guardrails. Anthony Manson Raihan Faroqui, MDArlen Meyers, MD, MBAAngela Gill Nelms Wilbur A. Lam Anthony Chang, MD, MBA, MPH, MS Harvey Castro, MD, MBA. Navin Goyal MD Srikanth M. Kevin Maher Shravan Kethireddy Meenesh Bhimani MD, MHA Matthew Holland Joan-Marie Stiglich, ELS Sandeep Pulim M.D. Jhonatan Bringas Dimitriades, MD Cory Warfield Nikki Estes Robin Hackney Tracy Hankin Tracy Lee Emily Blum John Whyte Margaret Lozovatsky, MD, FAMIA Jennifer Goldsack #innovation #ai #healthcare Dr Bhatt's commentary below: https://lnkd.in/emHne2Fv What do you think? Is it time for clinicians to have a voice at the AI table?

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Everyone's talking about AI and GLP-1s as solutions. I'm seeing them as symptoms of a bigger problem. I recently spoke with Martha Rosenberg for KevinMD about what happens to our brains when we reach for shortcuts instead of building real capability. Here's what 30 years of behavior change research and neuroscience has taught me: When tools do the work for us, our brain stops wiring the skills that create lasting competence. Whether it's AI writing our emails or GLP-1s controlling our appetite, we're bypassing hormesis: the strength built through struggle and overcoming difficulty. Think about how a baby learns to walk. No SMART goals. No performance targets. Just iteration. Practice, wobble, fall, get back up. That's our brain's natural learning system. But somewhere between childhood and adulthood, we learned to be performative. To chase results over practice. To look for easy buttons. The problem? • 71% of people discontinue GLP-1s (and regain weight with more fat, less muscle) • AI users develop weaker critical thinking and writing skills over time • Both create dependency without building the neural circuitry for lasting change Here's what most people don't know: The habenula—a half-centimeter structure deep in your brain—controls your motivation, dopamine, decision-making, sleep, hunger, and more. When triggered by failure or disappointment, it shuts down your motivation to keep trying. GLP-1s can help quiet the habenula temporarily. But they're a cast on a broken leg. If the bone never heals, you can never take the cast off. The iterative mindset is different. Our research shows it has a 300% stronger correlation with health habit formation than traditional goal-setting approaches. Look at the most successful people in any field. They didn't get there through shortcuts. They got there through iteration. For employers and health plans: This matters for your wellness programs. Easy solutions create short-term wins but long-term dependency. Building an iterative mindset in your workforce creates resilience, adaptability, and sustainable behavior change. Read the full interview on KevinMD: https://lnkd.in/eC9vfFRJ What's your take? Are we trading long-term capability for short-term convenience?

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AI can find the "What." Humans still have to find the "Why." 🧠 I just ran a cross-correlation between 9 years of my ŌURA data and 11 Diagnostic Solutions Laboratory, LLC GI-MAP microbiome tests using the new Biocanic Nexus platform. Turns out there are 7 positive and 8 negative correlations between microbiome markers and Oura Sleep Score with Pearson r values greater than 0.8 For example, here’s two Secretory IgA vs. Sleep Score: r = 0.91 Fusobacterium spp. vs. Sleep Score: r = -0.97 𝗧𝗵𝗲 𝗿𝗲𝗮𝗹𝗶𝘁𝘆 𝗰𝗵𝗲𝗰𝗸: Does a Sleep Score of 40 mean my Secretory IgA is tanking? Or is the Secretory IgA drop what caused the bad sleep? 🤔 Right now, AI gives us a "hypothesis starting point," not a final answer. We have more data than ever, but we still need practitioners to think through the counterfactuals. To prove causation, the counterfactual must be true. I.e. if my Sleep Score tanks one night to 40 due to travel, stress, etc, therefore my Secretory IgA would have to also have tanked, while my Fusobacterium spp would be spiking. Sure that might happen, but maybe it's just a bad night of sleep and my microbiome didn't really change all that much. We’ve officially democratized the "What." Now, let’s go find the "Why." Practitioners: How are you using wearables to validate lab markers? #healthintelligence #biocanic #personalizedhealth

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