The technology of drug delivery systems (DDSs) has demonstrated an outstanding
performance and effectiveness in production of pharmaceuticals, as it is proved by many …

We look into Generative Adversarial Network (GAN), its prevalent variants and applications
in a number of sectors. GANs combine two neural networks that compete against one …

The evolving field of generative artificial intelligence (GenAI), particularly generative deep
learning, is revolutionizing a host of scientific and technological sectors. One of the pivotal …

A growing body of evidence currently proposes that deep learning approaches can serve as
an essential cornerstone for the diagnosis and prediction of Alzheimer's disease (AD). In …

Traditional bulk sequencing methods are limited to measuring the average signal in a group
of cells, potentially masking heterogeneity, and rare populations. The single-cell resolution …

Accumulating evidences reveal that cellular cholesterol deficiency could trigger the onset of
Alzheimer's disease (AD). As a key regulator, 24-dehydrocholesterol reductase (DHCR24) …

Motivation Accurate disease phenotype prediction plays an important role in the treatment of
heterogeneous diseases like cancer in the era of precision medicine. With the advent of high …

Following the widespread use of deep learning for genomics, deep generative modeling is
also becoming a viable methodology for the broad field. Deep generative models (DGMs) …

Previous studies show that 3β-hydroxysterol-Δ24 reductase (DHCR24) has a remarked
decline in the brain of AD patients. In brain cholesterol synthetic metabolism, DHCR24 is …

Amyloid precursor protein (APP) at the plasma membrane is internalized via endocytosis
and delivered to endo/lysosomes, where neurotoxic amyloid-β (Aβ) is produced via β-, γ …