Digitized microscopy image of human kidney tissue

Deep learning analysis of tissue micrographs for improved diagnostics of kidney diseases

David Hölscher, Nassim Bouteldja et al. present a deep learning method for identification of specific features associated with non-tumor kidney disease in histological images.

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  • Large-scale disease-association data are widely used for pathomechanism mining, even if disease definitions used for annotation are mostly phenotype-based. Here, the authors show that this bias can lead to a blurred view on disease mechanisms, highlighting the need for close-up studies based on molecular data for well-characterized patient cohorts.

    • Sepideh Sadegh
    • James Skelton
    • David B. Blumenthal
    Article Open Access
  • High hyperdiploid acute lymphoblastic leukaemia (HeH ALL) is driven by nonrandom chromosomal gains, which have been suggested to arise early - even before birth. Here, the authors use single-cell whole genome sequencing and in silico modelling to show that HeH ALL aneuploidies could originate early and follow punctuated evolution.

    • Eleanor L. Woodward
    • Minjun Yang
    • Kajsa Paulsson
    Article Open Access
  • Nanomedicine is important in cancer therapy, but loading, drug release, and therapeutic effectiveness issues limit the translation to the clinic. Here, authors report a full-API nanodrug with an ideal API content and pH-responsive release for continuous spatiotemporal cancer therapy based on PpIX-heme-CO/Fe2+/BV-BR metabolic pathway.

    • Fang Fang
    • Sa Wang
    • Jinfeng Zhang
    Article Open Access
  • The progression of oesophageal squamous cell carcinoma (ESCC) from early to advanced stages requires comprehensive molecular characterisation. Here, the authors perform a proteogenomics analysis of ESCC patient samples across nine histopathological stages and three phases, identifying key alterations and paths for progression.

    • Lingling Li
    • Dongxian Jiang
    • Chen Ding
    Article Open Access

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  • The process of patenting inventions may be complex. Academic researchers whose primary goal is getting their work published in scientific journals often face daunting doubts when it comes to understanding the interplay between publishing and patenting their findings. We asked Prof Frank Tietze questions from the perspective of academic researchers who wish to understand how the patenting process works and—most importantly—the relation between patenting and publishing.

    Q&A Open Access
  • A recent study from Nature Communications reveals that Mycobacterium tuberculosis can hijack epigenetic machinery in host cells and induce host cell ferroptosis, which promotes pathogen pathogenicity and spread. These findings also suggest new therapeutic strategies to treat tuberculosis.

    • Boyi Gan
    Comment Open Access
  • Supramolecular chemistry based on cyclodextrin receptors as second-sphere ligands contribute to developing non-covalent materials with synergistic functionalities. Herein, we comment on a recent investigation of this concept, describing selective gold recovery through a hierarchical host-guest assembly specifically built from β-CD.

    • Anne Ponchel
    • Eric Monflier
    Comment Open Access
  • NASA’s Double Asteroid Redirection Test (DART) mission intentionally impacted the asteroid Dimorphos on September 26, 2022, and this kinetic impact changed Dimorphos’ orbit around its binary companion Didymos. This first planetary defense test explored technological readiness for this method of asteroid deflection.

    • Andrew S. Rivkin
    • Andrew F. Cheng
    Comment Open Access
  • A large proportion of recent Brazilian Amazon deforestation is occurring on untitled public forestlands through land grabbing. This emerging risk demands long-term conservation strategies. Here we propose prioritizing land tenure security, technological improvement, and law enforcement.

    • Paulo Moutinho
    • Claudia Azevedo-Ramos
    Comment Open Access
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