Latest AI and machine learning research in lymphoma for healthcare professionals.
Research output related to artificial intelligence (AI) in vascular diseases has been poorly investi...
The interaction between proteins and RNA is closely related to various human diseases. Computer-aide...
Identifying relevant disease modules such as target cell types is a significant step for studying di...
In this study, the potential of microfluidic systems with different microchannel geometries (microch...
Deep learning (DL) has become a remarkably powerful tool for image processing recently. However, the...
Non-negative matrix factorization (NMF) is a fundamental matrix decomposition technique that is used...
Peak prioritization is one of the key steps in non-target screening of environmental samples to dire...
Plants synthesize phytochelatins to chelate in vivo toxic heavy metal ions and produce nontoxic comp...
As a revolutionary technology, terrestrial laser scanning (TLS) is attracting increasing interest in...
Non-coding genomic variants constitute the majority of trait-associated genome variations; however, ...
Non-targeted screening with LC/ESI/HRMS aims to identify the structure of the detected compounds usi...
Machinery condition monitoring and failure analysis is an engineering problem to pay attention to am...
We present a novel approach for first-in-human (FIH) dose selection of the CD20xCD3 bispecific antib...
Accurate cancer detection and diagnosis is of utmost importance for reliable drug-response predictio...
Infliximab (IFX) is an effective medication for ulcerative colitis (UC) patients. However, one-third...
The segmentation and extraction of brain tissue in magnetic resonance imaging (MRI) is a meaningful ...
BACKGROUND: Low-dose computed tomography (LDCT) are performed routinely for lung cancer screening. H...
Several infectious diseases have affected the lives of many people and have caused great dilemmas al...
Federated learning is a novel framework that enables resource-constrained edge devices to jointly le...
Histological stratification in metastatic non-small cell lung cancer (NSCLC) is essential to properl...
To develop a fully automatic model capable of reliably quantifying epicardial adipose tissue (EAT) v...