Can AI crack the process of aging? | BBC News

The video showcases how sisters Karina and Serena Kern Libera use AI through their startup LinkJV to map the molecular pathways of aging and develop drugs targeting necrosis, a key driver of accelerated aging, with their first drug entering clinical trials for kidney degeneration. This AI-driven approach aims to tackle the complex, multifactorial nature of aging by addressing root causes rather than symptoms, potentially extending healthy human lifespans and revolutionizing age-related disease treatment.

The video explores the groundbreaking use of artificial intelligence (AI) in the quest to understand and potentially slow down the aging process. It introduces Karina Kern and Serena Kern Libera, two sisters leading pioneering research to develop what could be the world’s first anti-aging drug. Their startup, LinkJV, employs AI to create a detailed “blueprint” of aging, mapping the molecular pathways that cause the body’s decline rather than just addressing symptoms. This approach allows them to identify critical biological “switches” that trigger aging-related damage, with a particular focus on a chaotic form of cell death called necrosis.

Necrosis is described as a destructive process where cells burst open, causing inflammation and damage to surrounding tissues. It is a significant driver of accelerated aging, especially in vital organs like the kidneys. LinkJV’s first drug targets this process, aiming to stop necrosis and protect cells from this biological “riot.” The drug is about to enter clinical trials focused on kidney degeneration, chosen because the kidney serves as an effective model for studying accelerated aging. Success in this area could pave the way for treatments that address aging more broadly, with potential applications ranging from organ preservation to enhancing tissue engineering.

The video also highlights the complexity of aging as a biological problem. Unlike diseases caused by a single pathogen or genetic defect, aging involves multiple factors and simultaneous failures across various organs, a condition known as multimorbidity. Traditional medical approaches, which focus on single diseases or organs, struggle to address this complexity. Karina Kern explains that aging’s multifaceted nature requires new methods, as the standard approach of targeting one disease at a time is insufficient for tackling the interconnected decline seen in aging.

AI’s strength in biology, particularly in drug discovery, lies in its ability to analyze large, complete, and compatible datasets. The video references AlphaFold, an AI system that revolutionized protein folding predictions, as an example of AI’s potential when applied to well-structured biological data. By leveraging AI, LinkJV can process complex biological information to identify precise molecular targets for drug development, accelerating the discovery process that traditionally takes decades.

Ultimately, the video presents a hopeful vision where AI-driven research could extend healthy human lifespans by addressing the root causes of aging. While not promising immortality, the work of Karina and Serena Kern Libera aims to add more quality years to life by preventing the cellular damage that leads to frailty and disease. Their innovative approach has attracted significant interest from investors, scientists, governments, and organizations like NASA, underscoring the transformative potential of combining AI with cutting-edge biological research.