Ground Truths
11 articles in the TruthFoundry index. Each links out to the original.
- Michael Lewis discusses new book BLOCKERS in live Substack interview · Author Michael Lewis appeared in a live interview for his upcoming book BLOCKERS.
- Loss of Cell Identity Drives Human Aging, New Model Suggests · New research proposes that aging is driven by the loss of cell identity via epigenetic erosion.
- Apple Watch Readiness Scores Lack Scientific Validation Despite Marketing · Apple's new Readiness scores and HRV metrics lack independent validation and may not predict health outcomes.
- Two Major Heart Disease Clinical Trials Fail, Experts Debate Future Progress · Two large heart disease drug trials failed, sparking debate on remaining treatment potential.
- Failed Heart Disease Trials May Be Due to Poor Inflammation Measurement · Failed anti-inflammatory trials suggest reliance on non-specific blood biomarkers rather than direct coronary artery inflammation assessment.
- Studies Show Blood Monocytes Replace Brain Microglia; CHIP May Be Protective · Ground Truths podcast discusses two studies showing blood monocytes replace brain microglia and CHIP may be protective.
- Journalist Deb Cohen Exposes Wellness-Industrial Complex · Investigative journalist Deb Cohen details how the wellness-industrial complex sells health anxiety via algorithms and influencers.
- New Studies Reveal Non-Linear Brain Aging and Immune Cell Replacement · Recent breakthrough studies show brain aging involves midlife immune cell replacement and non-linear tissue changes.
- Harvard Researchers Unveil ALADYNOULLI AI Health Risk Prediction Model · Harvard research team publishes ALADYNOULLI AI for individual long-term health trajectory forecasting.
- Patrick Hsu outlines AI advances transforming life science research · Arc Institute researcher Patrick Hsu discusses AI catalyzing biology and drug discovery.
- Biological Aging Clocks Replace Calendars in Medicine · New research reveals organ and cell clocks track aging better than chronological age, predicting disease risk.