Pathology articles within Nature Medicine

Featured

  • Article |

    In a series of clinically relevant tasks in computational pathology, AI-driven models display marked performance disparities across demographic groups, which can only partially be mitigated by self-supervision on large training datasets and existing debiasing techniques.

    • Anurag Vaidya
    • , Richard J. Chen
    •  & Faisal Mahmood

  • Article |

    Developed using diverse sources of histopathology images, biomedical text and over 1.17 million image–caption pairs, evaluated on a suite of 14 diverse benchmarks, a visual-language foundation model achieves state-of-the-art performance on a wide array of clinically relevant pathology tasks.

    • Ming Y. Lu
    • , Bowen Chen
    •  & Faisal Mahmood

  • Article |

    Pretrained using over 100,000 diagnostic histopathological slides across 20 major tissue types, a self-supervised model is shown to outperform existing baselines across various clinically relevant computational pathology tasks.

    • Richard J. Chen
    • , Tong Ding
    •  & Faisal Mahmood

  • News & Views |

    Using pathology data from Twitter, researchers have built a visual-language model for classifying and retrieving histopathology images — representing a milestone in the development of multifunctional foundational artificial intelligence models in computational pathology.

    • Ming Y. Lu
    • , Bowen Chen
    •  & Faisal Mahmood

  • Article |

    Deep learning applied to endomyocardial biopsy images, developed using datasets from three different countries, can detect rejection of transplanted hearts and determine the subtype and grade of rejection, with potential for reducing the interobserver variability inherent in manual interpretation of these biopsies.

    • Jana Lipkova
    • , Tiffany Y. Chen
    •  & Faisal Mahmood

  • Review Article |

    Recent advances in machine learning techniques have created opportunities to improve medical diagnostics, but implementing these advances in the clinic will not be without challenge.

    • Jeroen van der Laak
    • , Geert Litjens
    •  & Francesco Ciompi

  • Article |

    Proinflammatory cytokine expression increases as a result of amyloid deposition in Alzheimer's disease. Frank L. Heppner and colleagues show that genetic and pharmacological inhibition of IL-12 and IL-23 signaling reduces plaque load and improves cognitive deficits in mouse models of Alzheimer's disease. As the concentration of p40 is also increased in the cerebrospinal fluid of individuals with Alzheimer's disease, this suggests that this pathway may be targeted therapeutically in patients.

    • Johannes vom Berg
    • , Stefan Prokop
    •  & Frank L Heppner

  • Resource |

    By implementing the conditions for orthotopic implantation of different types of human breast tumors, the authors have created a publicly available bank of new mouse models that more faithfully recreate individual tumor properties and provide individualized information about tumor behavior and prognosis.

    • Yoko S DeRose
    • , Guoying Wang
    •  & Alana L Welm

  • News & Views |

    For many years, investigators have been searching for an elusive circulating factor that could cause the common kidney disease focal segmental glomerulosclerosis (FSGS). The finding that a circulating, soluble form of the urokinase receptor (suPAR) can activate podocyte β3 integrin, leading to FSGS pathology (pages 952–960), provides new insights into this disease and may have important clinical implications.

    • Stuart J Shankland
    •  & Martin R Pollak

  • News & Views |

    Despite intensive study, the mechanisms of pathogenesis in inflammatory bowel diseases (IBDs) remain poorly understood. An innate T helper type 17 (TH17) response that requires nucleotide oligomerization domain (Nod)-like receptors and is primed by commensal bacteria is now shown to be crucial for controlling intestinal bacterial pathogens in a mouse model (pages 837–844). Thus, dysregulation of this protective immune response may be important in IBD development.

    • Mathias Hornef
    •  & Christine Josenhans

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