Metasurfaces, interacted with artificial intelligence, have now been motivating many
contemporary research studies to revisit established fields, eg, direction of arrival (DOA) …

Although single-cell sequencing has provided a powerful tool to deconvolute cellular
heterogeneity of diseases like cancer, extrapolating clinical significance or identifying …

Robust and accurate survival prediction of clinical trials using high-throughput genomics
data is a fundamental challenge in pharmacogenomics. Current machine learning tools …

Real‐world time to treatment discontinuation (rwTTD) is an important endpoint measurement
of drug efficacy evaluated using real‐world observational data. rwTTD, represented as a set …

Polymerase cycling assembly (PCA) stands out as the predominant method in the synthesis
of kilobase-length DNA fragments. The design of overlapping regions is the core factor …

While most deep learning approaches are developed for single images, in real‐world
applications, images are often obtained as a series to inform decision‐making. Due to …

Sepsis is an organ dysfunction caused by a deregulated immune response to an infection.
Early sepsis prediction and identification allow for timely intervention, leading to improved …

Deep learning (DL) has received increasing attention lately as a promising framework for
clinical applications in healthcare. However, many existing DL works focus on making …