<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>BioTwin Insights &amp; Publications</title><description>Scientific publications, white papers, and technology insights from BioTwin - the research-grade virtual twin platform. BioTwin technology shown here is not authorized as a medical device.</description><link>https://biotwin.ai</link><language>en-us</language><item><title>Exploratory Dried Blood Spot Metabolomics Identifies Pathway-Level Convergence with ME/CFS Biology in a Self-Reported PEM-Like Fatigue Phenotype</title><link>https://biotwin.ai/blog/publications/fatigue-dbs-metabolomics</link><guid isPermaLink="true">https://biotwin.ai/blog/publications/fatigue-dbs-metabolomics</guid><description>Preprint by Hauguel, Anctil, and Noel showing that dried blood spot metabolomics in 1,784 adults captures the same carnitine, TCA-cycle, redox-thiol, and tryptophan-kynurenine pathways previously implicated in ME/CFS plasma studies, scaling with symptom severity.</description><pubDate>Mon, 08 Jun 2026 00:00:00 GMT</pubDate><category>publication</category><category>fatigue</category><category>ME/CFS</category><category>metabolomics</category><category>dried blood spots</category><category>preprint</category><author>Pierrick Hauguel, Nicolas Anctil, Louis-Philippe Noel</author></item><item><title>How Wearables and Biology Work Better Together</title><link>https://biotwin.ai/blog/science-explained/how-wearables-and-biology-work-together</link><guid isPermaLink="true">https://biotwin.ai/blog/science-explained/how-wearables-and-biology-work-together</guid><description>Wearables show what life looks like from the outside. Biology helps show what may be changing on the inside. BioTwin brings those two layers together.</description><pubDate>Wed, 06 May 2026 00:00:00 GMT</pubDate><category>science-explained</category><category>plain language</category><category>wearables</category><category>biology</category><category>context</category><category>integration</category><author>BioTwin Editorial Team</author></item><item><title>Me vs. Me: Why Your Personal Baseline Matters More Than the Average</title><link>https://biotwin.ai/blog/science-explained/me-vs-me-personal-baseline</link><guid isPermaLink="true">https://biotwin.ai/blog/science-explained/me-vs-me-personal-baseline</guid><description>Population averages can be useful, but they do not always capture what is normal for one individual. BioTwin is designed to understand change relative to your own baseline.</description><pubDate>Wed, 06 May 2026 00:00:00 GMT</pubDate><category>science-explained</category><category>plain language</category><category>personal baseline</category><category>longitudinal data</category><category>interpretation</category><author>BioTwin Editorial Team</author></item><item><title>What 30,000+ Biomarker-Derived Metabolic Signals Really Means</title><link>https://biotwin.ai/blog/science-explained/what-30000-biomarkers-really-means</link><guid isPermaLink="true">https://biotwin.ai/blog/science-explained/what-30000-biomarkers-really-means</guid><description>BioTwin does not use the phrase 30,000+ biomarker-derived metabolic signals to sound impressive. It matters because deeper biological measurement creates a richer picture of what is happening inside the body.</description><pubDate>Wed, 06 May 2026 00:00:00 GMT</pubDate><category>science-explained</category><category>plain language</category><category>biomarkers</category><category>metabolomics</category><category>deep measurement</category><author>BioTwin Editorial Team</author></item><item><title>What Is a Human Virtual Twin? A Plain-Language Introduction</title><link>https://biotwin.ai/blog/science-explained/what-is-a-human-virtual-twin</link><guid isPermaLink="true">https://biotwin.ai/blog/science-explained/what-is-a-human-virtual-twin</guid><description>A simple explanation of what a human virtual twin is, why it matters, and how BioTwin uses biology, behavior, and time to build a more useful picture of health.</description><pubDate>Wed, 06 May 2026 00:00:00 GMT</pubDate><category>science-explained</category><category>virtual twin</category><category>plain language</category><category>introduction</category><category>longitudinal data</category><category>metabolomics</category><author>BioTwin Editorial Team</author></item><item><title>What Your Virtual Twin Can Do Today, and What Is Still in Development</title><link>https://biotwin.ai/blog/science-explained/what-your-virtual-twin-can-do-today</link><guid isPermaLink="true">https://biotwin.ai/blog/science-explained/what-your-virtual-twin-can-do-today</guid><description>BioTwin&apos;s virtual twin is designed to support clearer longitudinal health understanding today, while broader medical and clinical capabilities remain in development.</description><pubDate>Wed, 06 May 2026 00:00:00 GMT</pubDate><category>science-explained</category><category>plain language</category><category>scope</category><category>trust</category><category>wellness</category><category>research</category><author>BioTwin Editorial Team</author></item><item><title>Why a Single Blood Test Is Not Enough</title><link>https://biotwin.ai/blog/science-explained/why-a-single-blood-test-is-not-enough</link><guid isPermaLink="true">https://biotwin.ai/blog/science-explained/why-a-single-blood-test-is-not-enough</guid><description>A one-time result can be helpful, but it cannot fully explain how your biology is changing. BioTwin is built around trajectories, not snapshots.</description><pubDate>Wed, 06 May 2026 00:00:00 GMT</pubDate><category>science-explained</category><category>plain language</category><category>longitudinal data</category><category>biomarkers</category><category>trajectories</category><author>BioTwin Editorial Team</author></item><item><title>BioTwin Medical White Paper</title><link>https://biotwin.ai/blog/white-papers/medical-white-paper</link><guid isPermaLink="true">https://biotwin.ai/blog/white-papers/medical-white-paper</guid><description>Scientific overview of BioTwin&apos;s medical research methodology, validation approach, and clinical development pathway.</description><pubDate>Wed, 06 May 2026 00:00:00 GMT</pubDate><category>white-paper</category><category>white paper</category><category>medical</category><category>methodology</category><author>BioTwin Research Team</author></item><item><title>BioTwin Non-Medical White Paper</title><link>https://biotwin.ai/blog/white-papers/non-medical-white-paper</link><guid isPermaLink="true">https://biotwin.ai/blog/white-papers/non-medical-white-paper</guid><description>Scientific overview of BioTwin&apos;s non-medical virtual twin technology, including longitudinal Bio-Signature tracking, personal baseline modeling, and wellness-only interpretation.</description><pubDate>Wed, 06 May 2026 00:00:00 GMT</pubDate><category>white-paper</category><category>white paper</category><category>non-medical</category><category>wellness</category><author>BioTwin Research Team</author></item><item><title>Why We Built a Human Virtual Twin</title><link>https://biotwin.ai/blog/why-we-built-a-human-virtual-twin</link><guid isPermaLink="true">https://biotwin.ai/blog/why-we-built-a-human-virtual-twin</guid><description>A blood test is a snapshot. A human body is a film. The founding idea behind BioTwin: a person should be understood as a trajectory, not a single measurement.</description><pubDate>Tue, 05 May 2026 00:00:00 GMT</pubDate><category>founder</category><category>founder series</category><category>virtual twin</category><category>longitudinal data</category><category>preventive health</category><category>metabolomics</category><author>Pierrick Hauguel</author></item><item><title>Chronic Fatigue Is Not Just Tiredness</title><link>https://biotwin.ai/blog/chronic-fatigue-is-not-just-tiredness</link><guid isPermaLink="true">https://biotwin.ai/blog/chronic-fatigue-is-not-just-tiredness</guid><description>One word covers too many biological realities. BioTwin&apos;s fatigue work treats fatigue as a measurable state space, not a single symptom.</description><pubDate>Mon, 04 May 2026 00:00:00 GMT</pubDate><category>founder</category><category>founder series</category><category>fatigue</category><category>chronic fatigue</category><category>wearables</category><category>recovery</category><category>longitudinal data</category><author>Pierrick Hauguel</author></item><item><title>What Cancer Prevention Still Misses</title><link>https://biotwin.ai/blog/what-cancer-prevention-still-misses</link><guid isPermaLink="true">https://biotwin.ai/blog/what-cancer-prevention-still-misses</guid><description>Cancer prevention is personal before it is scientific. Why preventive health needs to move from isolated detection events to continuous biological context.</description><pubDate>Sun, 03 May 2026 00:00:00 GMT</pubDate><category>founder</category><category>founder series</category><category>cancer prevention</category><category>screening</category><category>early detection</category><category>preventive medicine</category><author>Pierrick Hauguel</author></item><item><title>My Biology Detected the Vegan Transition Before the Story Was Told</title><link>https://biotwin.ai/blog/how-biology-detected-a-vegan-transition</link><guid isPermaLink="true">https://biotwin.ai/blog/how-biology-detected-a-vegan-transition</guid><description>A diet change is easy to declare and harder to verify. How longitudinal metabolomics shows what actually appeared in the body when the founder went vegan.</description><pubDate>Sat, 02 May 2026 00:00:00 GMT</pubDate><category>founder</category><category>founder series</category><category>nutrition</category><category>vegan</category><category>metabolomics</category><category>diet response</category><category>longitudinal data</category><author>Pierrick Hauguel</author></item><item><title>Nutrition, Fasting, and Supplements: What Actually Shows Up in the Body</title><link>https://biotwin.ai/blog/nutrition-fasting-supplements-biological-response</link><guid isPermaLink="true">https://biotwin.ai/blog/nutrition-fasting-supplements-biological-response</guid><description>The body does not respond to intention. It responds to inputs. Why a virtual twin turns nutrition from a belief system into a learning system.</description><pubDate>Fri, 01 May 2026 00:00:00 GMT</pubDate><category>founder</category><category>founder series</category><category>nutrition</category><category>fasting</category><category>supplements</category><category>metabolomics</category><category>personalized health</category><author>Pierrick Hauguel</author></item><item><title>Caffeine, Alcohol, and the Biology of &quot;Just This Once&quot;</title><link>https://biotwin.ai/blog/caffeine-alcohol-personal-response</link><guid isPermaLink="true">https://biotwin.ai/blog/caffeine-alcohol-personal-response</guid><description>The body keeps receipts. Why caffeine and alcohol are personal pharmacology hiding inside everyday habits, and what longitudinal data reveals.</description><pubDate>Thu, 30 Apr 2026 00:00:00 GMT</pubDate><category>founder</category><category>founder series</category><category>caffeine</category><category>alcohol</category><category>recovery</category><category>wearables</category><category>sleep</category><author>Pierrick Hauguel</author></item><item><title>How Travel Rewrites Your Biology</title><link>https://biotwin.ai/blog/how-travel-rewrites-your-biology</link><guid isPermaLink="true">https://biotwin.ai/blog/how-travel-rewrites-your-biology</guid><description>A flight is not one event in the body. It is a sequence. Your itinerary says when you arrived. Your biology says when you recovered.</description><pubDate>Wed, 29 Apr 2026 00:00:00 GMT</pubDate><category>founder</category><category>founder series</category><category>travel</category><category>jet lag</category><category>circadian</category><category>recovery</category><category>wearables</category><author>Pierrick Hauguel</author></item><item><title>Six Connected Devices, Six Different Truths</title><link>https://biotwin.ai/blog/six-connected-devices-one-body</link><guid isPermaLink="true">https://biotwin.ai/blog/six-connected-devices-one-body</guid><description>Wearables are useful. They are also incomplete. When devices disagree about the same body, which one should you believe?</description><pubDate>Tue, 28 Apr 2026 00:00:00 GMT</pubDate><category>founder</category><category>founder series</category><category>wearables</category><category>biometrics</category><category>HRV</category><category>sleep</category><category>Garmin</category><category>validation</category><author>Pierrick Hauguel</author></item><item><title>When Effort Becomes Debt</title><link>https://biotwin.ai/blog/exercise-thresholds-recovery-and-overreach</link><guid isPermaLink="true">https://biotwin.ai/blog/exercise-thresholds-recovery-and-overreach</guid><description>Effort is not the same thing as capacity. The most dangerous number in performance is not the workout you completed. It is the debt you did not know you created.</description><pubDate>Mon, 27 Apr 2026 00:00:00 GMT</pubDate><category>founder</category><category>founder series</category><category>exercise</category><category>training load</category><category>HRV</category><category>performance</category><category>Ironman</category><category>recovery</category><author>Pierrick Hauguel</author></item><item><title>Me vs. Me: Your Best Self Is a Data Point</title><link>https://biotwin.ai/blog/me-vs-me-your-biological-baseline</link><guid isPermaLink="true">https://biotwin.ai/blog/me-vs-me-your-biological-baseline</guid><description>The most useful comparison in health may not be you versus everyone else. It may be you versus you. The Me vs. Me thesis behind every BioTwin score.</description><pubDate>Sun, 26 Apr 2026 00:00:00 GMT</pubDate><category>founder</category><category>founder series</category><category>BTID</category><category>individual baseline</category><category>metabolomics</category><category>personalized health</category><author>Pierrick Hauguel</author></item><item><title>You Do Not Have a Biological Age. You Have a Trajectory.</title><link>https://biotwin.ai/blog/biological-age-is-a-trajectory</link><guid isPermaLink="true">https://biotwin.ai/blog/biological-age-is-a-trajectory</guid><description>Biological age is often presented as a verdict. It is also incomplete. A body is not a static number. It is a trajectory.</description><pubDate>Sat, 25 Apr 2026 00:00:00 GMT</pubDate><category>founder</category><category>founder series</category><category>biological age</category><category>longevity</category><category>trajectory</category><category>Vitoli</category><category>metabolomics</category><author>Pierrick Hauguel</author></item><item><title>From Personal Data to Preventive Medicine</title><link>https://biotwin.ai/blog/from-personal-data-to-preventive-medicine</link><guid isPermaLink="true">https://biotwin.ai/blog/from-personal-data-to-preventive-medicine</guid><description>The founder dataset is not the finish line. It is the stress test. How a single dense individual case becomes the architecture for population-scale preventive medicine.</description><pubDate>Fri, 24 Apr 2026 00:00:00 GMT</pubDate><category>founder</category><category>founder series</category><category>preventive medicine</category><category>platform</category><category>white paper</category><category>research</category><category>trajectory</category><author>Pierrick Hauguel</author></item><item><title>Metabolomic Profiling of Dried Blood Spots for Breast Cancer Detection: A Multi-Classifier Validation Study in 2,734 Participants</title><link>https://biotwin.ai/blog/publications/cancer-paper</link><guid isPermaLink="true">https://biotwin.ai/blog/publications/cancer-paper</guid><description>Preprint by Anctil, Hauguel, Rhéaume, Grobmyer, and Noel showing that untargeted metabolomics from a single dried blood spot detects breast cancer across 2,734 participants, with performance that is robust across six classifier families.</description><pubDate>Fri, 24 Apr 2026 00:00:00 GMT</pubDate><category>publication</category><category>oncology</category><category>breast cancer</category><category>metabolomics</category><category>dried blood spots</category><category>preprint</category><author>Nicolas Anctil, Pierrick Hauguel, Caroline Rhéaume, Stephen Grobmyer, Louis-Philippe Noel</author></item><item><title>Metabolomic Fingerprinting from Dried Blood Spots Enables Individual Identification Across 1,257 Participants at 94% User-Level Accuracy</title><link>https://biotwin.ai/blog/publications/biometrics-paper</link><guid isPermaLink="true">https://biotwin.ai/blog/publications/biometrics-paper</guid><description>Preprint by Hauguel, Anctil, and Noel demonstrating that metabolomic profiles from dried blood spots are stable enough to identify individuals across 18,288 samples and 134 analytical batches.</description><pubDate>Sat, 11 Apr 2026 00:00:00 GMT</pubDate><category>publication</category><category>biometrics</category><category>metabolomics</category><category>dried blood spots</category><category>preprint</category><author>Pierrick Hauguel, Nicolas Anctil, Louis-Philippe Noel</author></item><item><title>Multi-Year Longitudinal Inter-Device Agreement Across Four Consumer Wearables: Concordance, Temporal Diagnostics, and Signal Harmonization</title><link>https://biotwin.ai/blog/publications/wearable-inter-device-agreement</link><guid isPermaLink="true">https://biotwin.ai/blog/publications/wearable-inter-device-agreement</guid><description>Preprint by Hauguel, Noel, and Anctil quantifying how poorly four consumer wearables agree with each other across an N-of-1 dataset spanning more than 2,400 days, and how much a harmonization layer can recover.</description><pubDate>Sun, 22 Mar 2026 00:00:00 GMT</pubDate><category>publication</category><category>wearables</category><category>digital phenotyping</category><category>inter-device agreement</category><category>longitudinal monitoring</category><category>preprint</category><author>Pierrick Hauguel, Louis-Philippe Noel, Nicolas Anctil</author></item><item><title>Clinical Virtual Twins: Methodology and Scientific Foundations</title><link>https://biotwin.ai/blog/virtual-twin-methodology</link><guid isPermaLink="true">https://biotwin.ai/blog/virtual-twin-methodology</guid><description>A comprehensive overview of BioTwin&apos;s virtual twin methodology, how multi-omics data, machine learning, and longitudinal tracking combine to create individualized health models.</description><pubDate>Sun, 15 Mar 2026 00:00:00 GMT</pubDate><category>founder</category><category>virtual twin</category><category>methodology</category><category>metabolomics</category><category>machine learning</category><category>precision medicine</category><author>BioTwin Research Team</author></item><item><title>Why Metabolomics Is the Missing Layer in Preventive Medicine</title><link>https://biotwin.ai/blog/metabolomics-preventive-medicine</link><guid isPermaLink="true">https://biotwin.ai/blog/metabolomics-preventive-medicine</guid><description>How metabolomic profiling captures real-time biological state, and why it&apos;s essential for meaningful health prediction beyond genomics alone.</description><pubDate>Tue, 10 Mar 2026 00:00:00 GMT</pubDate><category>founder</category><category>metabolomics</category><category>preventive medicine</category><category>biomarkers</category><category>multi-omics</category><category>precision health</category><author>BioTwin Research Team</author></item><item><title>The Case for Longitudinal Health Data: Why Single Snapshots Are Not Enough</title><link>https://biotwin.ai/blog/longitudinal-health-tracking</link><guid isPermaLink="true">https://biotwin.ai/blog/longitudinal-health-tracking</guid><description>How tracking biomarkers over time reveals health trajectories invisible to single-point assessments, and what this means for preventive care programs.</description><pubDate>Sun, 01 Mar 2026 00:00:00 GMT</pubDate><category>founder</category><category>longitudinal data</category><category>health tracking</category><category>biomarkers</category><category>digital health</category><category>preventive care</category><author>BioTwin Research Team</author></item><item><title>Human digital twin technology for individual profiling using LC-MS untargeted metabolomics analysis of dried blood spot samples</title><link>https://biotwin.ai/blog/publications/human-digital-twin-individual-profiling-dbs</link><guid isPermaLink="true">https://biotwin.ai/blog/publications/human-digital-twin-individual-profiling-dbs</guid><description>Peer-reviewed open-access study (Digital Twin, 2024) by Fradin, Noel and colleagues, the foundational BioTwin work showing that untargeted metabolomics from dried blood spots can profile and identify individuals across 277 volunteers.</description><pubDate>Wed, 29 May 2024 00:00:00 GMT</pubDate><category>publication</category><category>digital twin</category><category>metabolomics</category><category>dried blood spots</category><category>precision medicine</category><category>published</category><author>Manon Fradin, Louis-Philippe Noel, Gabriel Talbot-Lachance, Pierre Snell, Keven Voyer, Caroline Rheaume</author></item></channel></rss>