Morphological attributes from histopathological images and molecular profiles from genomic
data are important information to drive diagnosis, prognosis, and therapy of cancers. By …

Pathological images and molecular omics are important information for predicting diagnosis
and prognosis. The two kinds of heterogeneous modal data contain complementary …

Determining drug indications is a critical part of the drug development process. However,
traditional drug discovery is expensive and time-consuming. Drug repositioning aims to find …

Computational methods can increase productivity of drug discovery pipelines, through
overcoming challenges such as cardiotoxicity identification. We demonstrate prediction and …

Drug-target interaction (DTI) prediction plays an important role in drug repositioning, drug
discovery, and drug design. In recent years, some DTI prediction methods based on …

Background Besides binding to proteins, the most recent advances in pharmacogenomics
indicate drugs can regulate the expression of non-coding RNAs (ncRNAs). The …

Deformable objects especially large-size de-formable objects grasping is unappreciated but
widespread in industrial applications (eg, clothes recycling). While it encounters several …

The advent of artificial intelligence (AI) has revolutionized drug repositioning, transforming it
into an indispensable strategy for accelerating drug discovery. This chapter offers an in …

Big data analytics enjoy increasingly wide applications in the real world enabled by the
development of model, data, and hardware. However, the development of these three …

The integration of robotics into domestic environments poses significant challenges due to
the dynamic and varied nature of these settings. This paper introduces a new framework that …