Latest AI and machine learning research in peptic ulcer disease for healthcare professionals.
Modern studies increasingly leverage outcomes predicted by machine learning and artificial intellige...
Attribution methods in explainable AI rely on upsampling techniques that were designed for natural i...
Molecular interactions underlie nearly all biological processes, but many representation learning mo...
Accurate building segmentation and height estimation from single-view RGB satellite imagery are fund...
Unified diffusion editors often rely on a fixed, shared backbone for diverse tasks, suffering from t...
The protein-protein interactions (PPIs) between viruses and human play crucial roles in viral infect...
Synthetic lethality (SL) offers a promising paradigm for targeted cancer therapy, yet experimental i...
Accurate depth estimation plays a critical role in the navigation of endoscopic surgical robots, for...
Accurate depth estimation plays a critical role in the navigation of endoscopic surgical robots, for...
Triple-negative breast cancer (TNBC) is an aggressive subtype that lacks effective targeted therapie...
Endoscopy is essential in medical imaging, used for diagnosis, prognosis and treatment. Developing a...
Objective: The immune system plays a role in the occurrence and progression of numerous pregnancy co...
The classification performance of deep neural networks relies strongly on access to large, accuratel...
A priori model informed precision dosing (MIPD) recommends an appropriate first dose based solely on...
We study the problem of monitoring model performance in dynamic environments where labeled data are ...
Protein design seeks optimal amino acid sequences for target structures, but designing stable protei...
Machine learning predictions are increasingly used to supplement incomplete or costly-to-measure out...
Protein-protein interactions (PPIs) are governed by two fundamental interfacial mechanisms: similari...
Protein-protein interactions (PPIs) and nanobody-antigen interactions (NAIs) play essential roles in...
Identifying unique polyps in colon capsule endoscopy (CCE) images is a critical yet challenging task...
In this study, we explore the application of deep learning techniques for predicting cleansing quali...