All the news and science from the 2024 Nobel prizes
Oct 9, 2024
23:49
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Nicola Davis, a Guardian science correspondent specializing in biology and gene regulation, and Hannah Devlin, an expert in biochemistry and protein structures, delve into the groundbreaking announcements from the 2024 Nobel Prizes. They discuss the significant role of microRNA in gene regulation and its implications for health. The conversation also highlights advancements in artificial intelligence and its dual nature, weighing its potential against risks associated with job displacement. The importance of collaboration in science, enhanced by AI, is emphasized as a key to future breakthroughs.
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Quick takeaways
The discovery of microRNA highlights its crucial role in gene regulation and potential applications in health, particularly cancer treatments.
The integration of AI into protein structure prediction demonstrates a revolutionary approach to scientific discovery and the need for oversight in rapid technological advancements.
Deep dives
MicroRNA and Gene Regulation
The chapter discusses the groundbreaking work of Nobel Prize winners Victor Ambros and Gary Ravkin, who discovered microRNA and its critical role in gene regulation. MicroRNA acts as a regulator that binds mRNA and controls protein production after the mRNA has already been synthesized, illustrating a significant mechanism in cellular biology. Initially found in the roundworm C. elegans, this discovery was later recognized as a fundamental component across the animal kingdom, with thousands of microRNA genes now identified in humans. The implications of this research extend to potential health applications, including cancer biomarkers and treatments, highlighting the importance of understanding the regulation of gene expression.
Artificial Neural Networks in Physics
The conversation shifts to the Nobel Prize awarded in Physics, which recognized John Hopfield and Geoffrey Hinton for their foundational work enabling machine learning through artificial neural networks. Hopfield's model of associative memory allows computers to correct errors in information, much like how humans recall memories. Hinton expanded on this through the Boltzmann machine, which employs probabilistic approaches to distinguish patterns in data, such as identifying images. Despite their significant technological contributions, Hinton expresses concern over the rapid advancement of AI and its potential existential threats, emphasizing the need for careful oversight as AI capabilities grow.
Computational Protein Design Breakthroughs
The final segment focuses on the Nobel Prize in Chemistry awarded to David Baker, John Jumper, and Demis Hassabis for their innovative approaches to protein structure prediction and design. Baker's work revolutionizes the creation of entirely new proteins using computational biology, aiming to develop proteins for various applications, including medicine. Jumper and Hassabis' contributions with AlphaFold utilize AI to predict protein folding, a problem that has stumped scientists for decades. This integration of AI into biological research not only showcases a new avenue for scientific discovery but also emphasizes the collaborative nature of science, where innovative tools facilitate breakthroughs.
With awards for the discovery of microRNA and the creation of new proteins, plus recognition for artificial intelligence via the physics and chemistry prizes, Madeleine Finlay hears from the Guardian science team – Nicola Davis, Ian Sample and Hannah Devlin – as they break down the news, science and surprises from this year’s Nobels. Help support our independent journalism at theguardian.com/sciencepod
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