In healthcare, the development and deployment of insufficiently fair systems of artificial
intelligence (AI) can undermine the delivery of equitable care. Assessments of AI models …

Researchers are defining new types of interactions between humans and machine learning
algorithms generically called human-in-the-loop machine learning. Depending on who is in …

Abstract Vision Transformers (ViTs) and their multi-scale and hierarchical variations have
been successful at capturing image representations but their use has been generally …

Tumor-infiltrating T cells offer a promising avenue for cancer treatment, yet their states
remain to be fully characterized. Here we present a single-cell atlas of T cells from 308,048 …

Each tumour contains diverse cellular states that underlie intratumour heterogeneity (ITH), a
central challenge of cancer therapeutics. Dozens of recent studies have begun to describe …

Fungal microorganisms (mycobiota) comprise a small but immunoreactive component of the
human microbiome, yet little is known about their role in human cancers. Pan-cancer …

Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well
known from computer science is broadly affecting many aspects of various fields including …

Clear cell renal cell carcinoma (ccRCC) is the most prevalent subtype of renal cell
carcinoma, which is characterized by metabolic reprogramming. Cuproptosis, a novel form …

Patients with high-grade serous ovarian cancer suffer poor prognosis and variable response
to treatment. Known prognostic factors for this disease include homologous recombination …

Epidermal growth factor receptor (EGFR) mutations typically occur in exons 18–21 and are
established driver mutations in non-small cell lung cancer (NSCLC),–. Targeted therapies …