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Volume 542 Issue 7639, 2 February 2017

The cover shows how the detection of skin cancer could be simplified and extended by using artificial intelligence. Andre Esteva et al. used 129,450 clinical images of skin disease to train a deep convolutional neural network to classify skin lesions. The result is an algorithm that can classify lesions from photographic images similar to those taken with a mobile phone. The accuracy of the system in detecting malignant melanomas and carcinomas matched that of trained dermatologists. The authors suggest that the technique could be used outside the clinic as a visual screen for cancer. Cover: Dejapong I. Suwaratana & Uri Tzarnotzky.

Editorial

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World View

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Research Highlights

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Seven Days

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News

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News Feature

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Comment

  • Ethical review boards must focus on clinical promise as well as safety to hold the first tests of drugs in humans to a higher standard, say Jonathan Kimmelman and Carole Federico.

    • Jonathan Kimmelman
    • Carole Federico
    Comment
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Books & Arts

  • Davide Castelvecchi applauds an inside story on the discovery of gravitational waves.

    • Davide Castelvecchi
    Books & Arts
  • Barbara Kiser reviews five of the week's best science picks.

    • Barbara Kiser
    Books & Arts
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Correspondence

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Obituary

  • Observational astronomer who confirmed the existence of dark matter.

    • Neta A. Bahcall
    Obituary
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News & Views

  • When some cancer cells delete a tumour-suppressor gene, they also delete nearby genes. It emerges that one of these latter genes has a key metabolic role, revealing a therapeutic opportunity that might be relevant for many tumours. See Letter p.119

    • Giulia Biffi
    • David A. Tuveson
    News & Views
  • The locations of atoms in a metallic alloy nanoparticle have been determined using a combination of electron microscopy and image simulation, revealing links between the particle's structure and magnetic properties. See Letter p.75

    • Michael Farle
    News & Views
  • A computer, trained to classify skin cancers using image analysis alone, can now identify certain cancers as successfully as can skin-cancer doctors. What are the implications for the future of medical diagnosis? See Letter p.115

    • Sancy A. Leachman
    • Glenn Merlino
    News & Views
  • The discovery of what is potentially the world's largest continuous tropical peat complex has great implications for global carbon stocks, land management and scientific investment in central Africa. See Letter p.86

    • Lola Fatoyinbo
    News & Views
  • The growth factor TGF-ß1 is located inside a protein cage, and is thought to be released by force applied through integrin proteins. A structure of TGF-ß1 in complex with integrin αVß6 sheds light on the uncaging process. See Article p.55

    • Taekjip Ha
    News & Views
  • A theory proposed in 2015 suggested that relatively flat surfaces in mountain ranges were formed by the reorganization of river networks. A fresh analysis rebuts this idea, reigniting discussion of a long-standing problem in Earth science.

    • Hugh Sinclair
    News & Views
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Correction

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Article

  • The lymphangiogenic factor PROX1 transcriptionally upregulates CPT1A, a rate-controlling enzyme in fatty acid β-oxidation, and this co-regulates lymphatic endothelial cell differentiation by epigenetic control of lymphatic gene expression, demonstrating a role for metabolism in developmental biology.

    • Brian W. Wong
    • Xingwu Wang
    • Peter Carmeliet
    Article
  • The first high-resolution (3.5 Å) structure of a full-length cyclic-nucleotide-gated channel, revealing an unconventional, voltage-insensitive voltage-sensor domain and a unique coupling mechanism between cyclic-nucleotide-binding and pore-opening.

    • Minghui Li
    • Xiaoyuan Zhou
    • Jian Yang
    Article
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Letter

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Erratum

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Corrigendum

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Toolbox

  • The system of connecting machines and sensors is finally making its way into the laboratory, giving researchers peace of mind and restoring their work–life balance.

    • Jeffrey M. Perkel

    Collection:

    Toolbox
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Column

  • If your job is at risk, don't wait until the last minute before planning a safe landing.

    • Peter Fiske
    Column
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Q&A

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Futures

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