AI-powered platform accelerates discovery of new mRNA delivery materials

Integrating AI with advanced robotics to create self-driving labs (SDL) is a promising approach to tackling molecular discovery. A new SDL system, called LUMI-lab, combines large-scale molecular ...
IEEE

Distribution and Knowledge Alignment-based Single-cell Multi-omics Cell Type Annotation

Abstract: Single-cell type annotation is crucial for understanding the tumor microenvironment. With advances in single-cell sequencing, researchers can now analyze the functional characteristics of ...
GitHub

monae: multi-modal single-cell integration and imputation

Same order of execution as above, here are examples for RNA and protein modalities, please refer to the dir prot. At present, the repo released a stable and convenient training strategy for Monae's ...
Frontiers

T-cell receptor dynamics in digestive system cancers: a multi-layer machine learning approach for tumor diagnosis and staging

Background: T-cell receptor (TCR) repertoires provide insights into tumor immunology, yet their variations across digestive system cancers are not well understood. Characterizing TCR differences ...
IEEE

Load-Balancing during Resource Allocation in Multi-Cell MIMO-NOMA

Abstract: Load balancing during resource allocation (RA) in multicell multi-input multi-output non-orthogonal multiple access (MC-MIMO-NOMA) poses significant challenges for the deployment of massive ...