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Showing posts with the label rewrite biology

Has the AI Drug Discovery Hype Train Derailed? A Reality Check for Pharma and Biotech

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When smarter algorithms hit the wall of outdated biology In 2021, venture capitalists poured over $2 billion into AI-powered drug discovery startups. The hope was clear: artificial intelligence could compress a 10-year, multi-billion-dollar R&D cycle into a few years and a few million dollars. Companies like Recursion , Exscientia , and Insilico Medicine emerged as poster children for this new era, promising a revolution that would change the trajectory of pharmaceutical research forever. But fast forward to 2025, and the story looks much different. Stock prices are down. Investors are wary. M&A activity is heating up—not because of success, but because of pressure to survive. What happened? ⸻ 💡 AI Was a Tool, Not a Cure AI drug discovery promised efficiency: faster molecule generation, better hit prediction, and streamlined clinical trial design. In some areas—like protein structure prediction (e.g., AlphaFold)—it delivered. But the ...

The Human Biomedical Literature Problem

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Navigating the Labyrinth: Unraveling the Challenges in Human Biomedical Literature The quest to understand and improve human health relies heavily on the vast and ever-growing body of human biomedical literature. From groundbreaking discoveries to meticulous clinical trials, this collective knowledge base holds immense promise. However, beneath the surface of progress lie significant challenges that can hinder translation, erode trust, and ultimately impact patient care. As we enter an era of artificial intelligence, global health crises, and unprecedented data generation, these challenges are evolving in ways that demand urgent attention and innovative solutions. The Shadow of the Reproducibility Crisis in Human Studies The inability to validate findings is particularly concerning when it involves human health, with recent meta-analyses suggesting that fewer than 40% of biomedical studies can be successfully replicated. This crisis stems from multiple interconnected factors: Complex B...

Rewriting the Rules of Disease.

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Logic-driven, independent research that questions everything. Modern medicine has built its house on shaky ground. While the world waits for AI and billion-dollar labs to deliver miracles, one researcher took a different path—using logic, pattern recognition, and trial-and-error to uncover what science has overlooked. RewriteBiology  is a movement to rethink how we understand illness, aging, and the immune system itself. What if the root causes of chronic disease aren’t genetic or lifestyle-based—but microbial, slow-moving, and hiding in plain sight? What if menopause isn’t just a phase—but the tipping point of immune system collapse? This project challenges the status quo with new theories, real-world experimentation, and a commitment to truth over tradition. The goal is simple: uncover what’s been missed—and change medicine forever.