Single-cell multi-omics technologies and methods characterize cell states and activities by
simultaneously integrating various single-modality omics methods that profile the …

Visualization of the cellular heterogeneity and spatial architecture of the tumor
microenvironment (TME) is becoming increasingly important to understand mechanisms of …

Recent developments of sequencing-based spatial transcriptomics (sST) have catalyzed
important advancements by facilitating transcriptome-scale spatial gene expression …

Scientists have been trying to identify every gene in the human genome since the initial draft
was published in 2001. In the years since, much progress has been made in identifying …

We envision" AI scientists" as systems capable of skeptical learning and reasoning that
empower biomedical research through collaborative agents that integrate AI models and …

The development of single-cell multi-omics technology has greatly enhanced our
understanding of biology, and in parallel, numerous algorithms have been proposed to …

Cellular senescence is a well-established driver of aging and age-related diseases. There
are many challenges to map** senescent cells in tissues such as the absence of specific …

The interactions of microorganisms among themselves and with their multicellular host take
place at the microscale, forming complex networks and spatial patterns. Existing technology …

Spatial transcriptomic techniques offer unprecedented insights into the molecular
organization of complex tissues. However, integrating cost-effectiveness, high throughput, a …

The immune system comprises diverse specialized cell types that cooperate to defend the
host against a wide range of pathogenic threats. Recent advancements in single-cell and …