Computational pathology 1 , 2 has witnessed considerable progress in the development of
both task-specific predictive models and task-agnostic self-supervised vision encoders 3 , 4 . …

Quantitative evaluation of tissue images is crucial for computational pathology (CPath) tasks,
requiring the objective characterization of histopathological entities from whole-slide …

Macrophages constitute a major component of the leukocyte infiltrate of tumors and perform
distinct roles in different tumor microenvironments. This study attempted to investigate the …

Contrastive visual language pretraining has emerged as a powerful method for either training
new language-aware image encoders or augmenting existing pretrained models with zero-…

The accelerated adoption of digital pathology and advances in deep learning have enabled
the development of robust models for various pathology tasks across a diverse array of …

Immunosuppression mediated by regulatory T cells (Tregs) is a key facilitator of tumor
immune evasion, but the source of these Tregs and their contribution to human cancer …

The flower-like ZnO materials were hydrothermally synthesized with or without ultrasonic
assistance. When low dosage of citric acid is used, ultrasonic treatment can enhance the …

Macrophages (Mφ) are prominent components of solid tumors and exhibit distinct phenotypes
in different microenvironments. We have recently found that tumors can alter the normal …

Fischer–Tropsch synthesis (FTS) is a promising technology to convert syngas derived from
non-petroleum-based resources to valuable chemicals or fuels. Selectively producing target …

Defect engineering is a promising strategy to enhance light absorption and charge separation
of photocatalysts. Herein, we simply tailor the quantity and distribution of oxygen vacancies…