Frederick Klauschen

TL;DR: An explainable machine-learning approach for the integrated profiling of morphological, molecular and clinical features from breast cancer histology allows for the robust detection of cancer cells and tumour-infiltrating lymphocytes in histological images, and allows assessment of the link between morphological and molecular cancer properties.

TL;DR: DETCs resemble LCs concerning their maintenance, replenishment mechanisms, and hematopoietic development, suggesting that the epidermal microenvironment exerts a lineage-independent influence on the initial seeding and homeostatic maintenance of its resident immune cells.

TL;DR: A mild, but subgroup-specific infiltration of immune cells in medulloblastoma is suggested, indicating distinct types of local tumor immunosuppression.

TL;DR: POLE EDMs do not appear to define an entirely new clinically distinct disease entity in CRC but may have prognostic or predictive implications in CRC subgroups, whose significance remains to be investigated in future studies.

TL;DR: A well-powered analysis revealed a significant rate of class-I-discrepancies indicating that autopsies are still of value, and identified risk profiles may aid both pathologists and clinicians to identify patients at increased risk for a discrepant diagnosis and possibly suboptimal treatment intra vitam.