Technological advances have made it possible to study a patient from multiple angles with
high-dimensional, high-throughput multiscale biomedical data. In oncology, massive …

Sarcomas are heterogeneous and clinically challenging soft tissue and bone cancers.
Although constituting only 1% of all human malignancies, sarcomas represent the second …

Sarcomas are malignant soft tissue and bone tumours affecting adults, adolescents and
children. They represent a morphologically heterogeneous class of tumours and some …

Deep-learning methods for computational pathology require either manual annotation of
gigapixel whole-slide images (WSIs) or large datasets of WSIs with slide-level labels and …

Gains and losses of DNA are prevalent in cancer and emerge as a consequence of inter-
related processes of replication stress, mitotic errors, spindle multipolarity and breakage …

Soft-tissue sarcomas represent a heterogeneous group of cancer, with more than 50
histological subtypes,. The clinical presentation of patients with different subtypes is often …

Large panels of comprehensively characterized human cancer models, including the
Cancer Cell Line Encyclopedia (CCLE), have provided a rigorous framework with which to …

There are more than 70 distinct sarcomas, and this diversity complicates the development of
precision-based therapeutics for these cancers. Prospective comprehensive genomic …

We use deep transfer learning to quantify histopathological patterns across 17,355
hematoxylin and eosin-stained histopathology slide images from 28 cancer types and …

Cytosolic DNA is characteristic of chromosomally unstable metastatic cancer cells, resulting
in constitutive activation of the cGAS–STING innate immune pathway. How tumors co-opt …