AI forecasts new virus variants

AI Forecasts New Virus Variants
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AI Forecasts New Virus Variants

Exciting Announcement: Breakthrough in Virus Variant Forecasting!

We are thrilled to share groundbreaking news from the collaborative efforts of researchers at Harvard and the University of Oxford. They have successfully developed a cutting-edge AI system, EVEscape, designed to forecast new variants of viruses such as SARS-CoV-2, HIV, and influenza. The primary objective behind this innovative technology is to bolster the ‘future-proofing’ of vaccines against viral mutations.

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🌐 Key Details:

🧬 EVEscape: This pioneering tool harnesses evolutionary data, enabling it to predict potential mutations that viruses may undergo. It doesn’t stop there; EVEscape incorporates intricate biological details, including specific regions targeted by the immune system.

🧪 Impressive Testing: In rigorous testing, EVEscape demonstrated exceptional accuracy by accurately predicting major COVID variants and assessing susceptibility to antibody treatments.

🔍 Comprehensive Variant Scanning: EVEscape scans through tens of thousands of viral variants, diligently identifying the most threatening ones. This wealth of data is then shared with the aim of developing vaccines that can effectively combat future strains.

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🌍 The Relevance

Could AI be the key to pre-empting the emergence of future pandemics? The ability to stay ahead of a virus’s evolutionary trajectory holds the potential for transformative impacts on vaccination strategies and preparedness for viral outbreaks. The development of EVEscape marks a significant leap towards preventing future pandemics before they even begin. This advancement could ultimately safeguard global health by enhancing our ability to respond to viral threats swiftly and effectively.

Stay tuned for more updates as the world of science and technology continues to shape a healthier and more secure future!

🌟🔬💉 #VirusForecasting #AIInnovation #PandemicPrevention

🌐 Predicting Viral Variants: A Revolutionary AI Tool Unveiled

The COVID-19 pandemic was marked by an unrelenting parade of SARS-CoV-2 variants, each armed with unique strategies to elude the immune system, leaving the world in a perpetual state of anticipation. But what if there was a means to forecast new viral variants before they emerged?

Enter EVEscape, an innovative artificial intelligence tool developed by researchers from Harvard Medical School and the University of Oxford. EVEscape offers a dual-pronged approach, combining an evolutionary sequence model for predicting virus changes with comprehensive biological and structural data about the virus itself. This unique blend equips EVEscape with the capability to make informed predictions about the most likely variants that may arise as a virus undergoes evolution.

In a recent study featured in Nature, the researchers unveiled EVEscape’s exceptional potential. They demonstrated that, had EVEscape been deployed at the onset of the COVID-19 pandemic, it would have accurately predicted the most prevalent mutations and identified the most worrisome SARS-CoV-2 variants. Impressively, EVEscape also exhibited accuracy in predicting variants for other viruses, including HIV and influenza.

Presently, the researchers employ EVEscape to gaze into the future of SARS-CoV-2, forecasting potential variants of concern. Every two weeks, they release a ranking of these new variants. This invaluable information could prove instrumental in the development of more effective vaccines and therapies. Furthermore, the team’s ambitions extend beyond SARS-CoV-2, as they aim to expand the tool’s scope to encompass a broader spectrum of viruses.

Debora Marks, senior author and professor of systems biology in the Blavatnik Institute at HMS, articulated the significance of this endeavor, saying, “We want to know if we can anticipate the variation in viruses and forecast new variants—because if we can, that’s going to be extremely important for designing vaccines and therapies.”

EVEscape’s introduction heralds a new era in our ability to prepare for and counteract viral mutations, potentially reshaping our approach to vaccine development and therapy design. Stay tuned for the ever-evolving landscape of AI-driven viral variant prediction.

🦠💻🔬 #ViralVariants #AIInnovation #TherapeuticsResearch

🔍 Evolutionary Insight: The Transition from EVE to EVEscape

Before unveiling EVEscape, the researchers laid the foundation with EVE, an acronym for “evolutionary model of variant effect.” Originally designed to tackle a distinct challenge—gene mutations responsible for human diseases—EVE emerged as a groundbreaking innovation. At its core, EVE comprises a generative model capable of learning to forecast protein functionality, leveraging extensive evolutionary data spanning diverse species.

In a prior investigation, EVE played a pivotal role in enabling researchers to differentiate between disease-causing and benign mutations within genes associated with a wide range of conditions, including cancer and heart rhythm disorders. EVE’s proficiency in this context demonstrated its potential for transformative impacts in the realm of genetics and healthcare.

🧬🧪📊 #EVEscapeOrigins #GeneticInsights #ResearchAdvancements

“Generative models can unveil astonishing revelations hidden within evolutionary data,” affirms Marks, highlighting the potential these models hold. Indeed, as the COVID-19 pandemic unfolded, the world was taken aback by SARS-CoV-2’s remarkable adaptability. The virus continuously shape-shifted, altering its structure in subtle and significant ways to elude vaccines and therapies designed to combat it.

Marks underscores the underestimation of a pathogen’s mutational capacity under pressure, especially within large populations, stating, “Viruses exhibit an extraordinary degree of flexibility; it’s as if they’ve honed the art of evolution.”

Observing the pandemic’s course, Marks and her team recognized an opportunity to make a difference. They transformed EVE into EVEscape, a novel tool with a primary mission: predicting viral variants.

Leveraging the generative model inherited from EVE, capable of foreseeing non-disruptive mutations in viral proteins, they amplified its capabilities. EVEscape now incorporates intricate biological and structural insights about the virus, encompassing information on regions most susceptible to immune system targeting.

Nicole Thadani, co-lead author and former research fellow in the Marks lab, elucidated this development: “We’re integrating biological knowledge about immune system function with our extensive learnings from the virus’s broader evolutionary history.” This synergy of evolutionary wisdom and biological expertise empowers EVEscape to forecast viral variants, a crucial asset in the ongoing battle against rapidly evolving pathogens.

🦠🔬💡 #EVEscapeEvolution #ViralAdaptation #PredictiveTools

Read the full article – www.news.harvard.edu

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