The increasing availability of biomedical data from large biobanks, electronic health records,
medical imaging, wearable and ambient biosensors, and the lower cost of genome and …

Artificial intelligence is an advanced method to identify novel anticancer targets and discover
novel drugs from biology networks because the networks can effectively preserve and …

Annotating cell types on the basis of single-cell RNA-seq data is a prerequisite for research
on disease progress and tumour microenvironments. Here we show that existing annotation …

Existing multi-view classification algorithms focus on promoting accuracy by exploiting
different views, typically integrating them into common representations for follow-up tasks …

Technological advances have made it possible to study a patient from multiple angles with
high-dimensional, high-throughput multiscale biomedical data. In oncology, massive …

Multi‐omics usually refers to the crossover application of multiple high‐throughput screening
technologies represented by genomics, transcriptomics, single‐cell transcriptomics …

Radiative cooling, a technology that lowers the temperature of terrestrial objects by
dissipating heat into outer space, presents a promising ecologically‐benign solution for …

Background A fused method using a combination of multi-omics data enables a
comprehensive study of complex biological processes and highlights the interrelationship of …

Mechanochromic luminescence (MCL) materials, which are stimulated by mechanical force,
have several promising advantages, such as controllable stimulus response, reversible …

Integration of heterogeneous and high-dimensional data (eg, multiomics) is becoming
increasingly important. Existing multimodal classification algorithms mainly focus on …