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Protein structures to represent data obtained via AlphaFold
Lasker Award for Revolutionizing Protein Structure Predictions
John Jumper and Demis Hassabis received this year’s 2023 Albert Lasker Basic Medical Research Award for their work on the artificial intelligence system AlphaFold, which changed the landscape of protein biology. 
Lasker Award for Revolutionizing Protein Structure Predictions
Lasker Award for Revolutionizing Protein Structure Predictions

John Jumper and Demis Hassabis received this year’s 2023 Albert Lasker Basic Medical Research Award for their work on the artificial intelligence system AlphaFold, which changed the landscape of protein biology. 

John Jumper and Demis Hassabis received this year’s 2023 Albert Lasker Basic Medical Research Award for their work on the artificial intelligence system AlphaFold, which changed the landscape of protein biology. 

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From the Expert: Machine Learning and Artificial Neural Networks
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Grace Lindsay explains machine learning and describes how artificial neural networks mimic the architecture of brain neurons to learn from and process data.
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Natalia Mesa, PhD | Sep 8, 2023 | 8 min read
A renaissance in natural language modeling may help researchers explore how the brain extracts and organizes meaning.
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Automation, multiplexing, artificial intelligence, and more come together to build a better laboratory environment.  
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A New AI Tool Predicts Gene Expression in a Single Cell
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An artificial intelligence tool, scGPT, can identify cell types, predict the effects of disrupting genes, and pinpoint which genes interact with each other.
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From the advent of optical microscopes to today, light microscopy methods have been central to life science discoveries across disciplines.
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Neurobiologists, computer scientists, and engineers join forces to grow mini brains using automation and make their technologies smarter with artificial intelligence.
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AI Helps Predict Winners and Losers in Clinical Trials
Roni Dengler, PhD | Aug 3, 2021 | 4 min read
Pradipta Ghosh has plans to revolutionize the drug discovery pipeline.
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Algorithm Spots COVID-19 Cases from Eye Images: Preprint
Anthony King | Sep 21, 2020 | 4 min read
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Discover how machine learning helps scientists accelerate their research.  
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Scientists Oppose NSF’s New Graduate Fellowship Priority
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More than 3,000 researchers have signed on to a petition that expresses concern over the agency’s 2021 application for the funding program, which emphasizes three areas of computational science and might further disadvantage underrepresented groups.
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Abby Olena, PhD | May 7, 2020 | 6 min read
Machine learning has pegged existing drugs to repurpose for COVID-19 clinical trials.
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From artificial intelligence to pluripotent stem cells, this year saw the publication of a bevy of intriguing new methods, as well as tweaks to existing protocols.
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Scientists used machine learning to analyze the coevolution of physical traits in butterflies.
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Journals’ Plagiarism Detectors May Flag Papers in Error
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One recent case, in which a scientist claims his submitted manuscript was rejected despite a lack of actual plagiarism, highlights the limitations of automated tools.
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Machine Learning “Very Easy to Abuse”
Carrie Arnold | Jun 24, 2019 | 3 min read
Microbiologist Nick Loman talks about the power of artificial intelligence and the best way to use it.
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