AI allows pre-screening of FGFR3 mutational status using routine histology slides of muscle-invasive bladder cancer.

Pathogenic activating mutations in the fibroblast growth factor receptor 3 (FGFR3) drive disease maintenance and progression in urothelial cancer. 10-15% of muscle-invasive and metastatic urothelial cancer (MIBC/mUC) are FGFR3-mutant. Selective targeting of FGFR3 hotspot mutations with tyrosine kinase inhibitors (e.

Dissection of Progressive Disease Patterns for a Modified Classification for Immunotherapy.

Importance: Progressive disease (PD) in patients treated with immune checkpoint inhibitors (ICIs) varies widely in outcomes according to the Response Evaluation Criteria in Solid Tumors (RECIST), version 1.1. Efforts to modify RECIST for ICI treatment have not resolved the heterogeneity in PD patterns, posing a clinical challenge.

Preferred fixation position and gaze location: Two factors modulating the composite face effect.

Humans consistently land their first saccade to a face at a preferred fixation location (PFL). Humans also typically process faces as wholes, as evidenced by perceptual effects such as the composite face effect (CFE). However, not known is whether an individual's tendency to process faces as wholes varies with their gaze patterns on the face.

Disturbed spatial WNT activation - a potential driver of the reticularized skin phenotype in Systemic Sclerosis (SSc).

Objectives: Little is known on the mechanisms necessary to maintain the physiological adult human skin integrity. This study aims to quantitatively describe anatomical changes in systemic sclerosis (SSc)-skin compared to controls and investigate the underlying mechanisms.

Methods: Skin morphology was histologically assessed in twenty-three SSc-patients, eighteen controls and fifteen patients with hypertrophic scars.

Towards interactive AI-authoring with prototypical few-shot classifiers in histopathology.

A vast multitude of tasks in histopathology could potentially benefit from the support of artificial intelligence (AI). Many examples have been shown in the literature and first commercial products with FDA or CE-IVDR clearance are available. However, two key challenges remain: (1) a scarcity of thoroughly annotated images, respectively the laboriousness of this task, and (2) the creation of robust models that can cope with the data heterogeneity in the field (domain generalization).