Latest AI and machine learning research in hepatitis for healthcare professionals.
Multimodal large language models are typically trained end-to-end to predict ground-truth answers, y...
Background Liver fibrosis (LF) represents a pivotal pathological phase in the advancement of chronic...
As a key technique in multi-modal processing, infrared and visible image fusion (IVIF) plays a cruci...
Treponema pallidum ssp. pallidum, the causative agent of syphilis, has a small proteome and encompas...
Antiphospholipid syndrome (APS) lacks targeted therapies beyond anticoagulation, and its molecular h...
This paper focuses on the alignment of flow matching models with human preferences. A promising way ...
Peripheral Blood transcriptome analysis evaluated the bulk transcript abundance (TA) covering all le...
The biological definition of Alzheimer's disease (AD) relies on multi-modal neuroimaging, yet the cl...
Background: Limited data utilization in low-resource settings poses a barrier to the vaccine deliver...
Protein-protein interactions (PPIs) between a virus and its host govern infection, replication, and ...
Background: Interferon-gamma (IFN-{gamma}) is the primary effector cytokine of adaptive anti-tumor i...
Expert eye movements provide a rich, passive source of domain knowledge in radiology, offering a pow...
Background Gene expression changes in response to developmental and environmental cues rely on cis-r...
In this paper, we address the problem of 6-DoF object pose estimation from a single RGB image. Indir...
Motivation: The emergence of novel viral pathogens poses critical threats to global health, yet curr...
Background: Length of stay (LOS) is a critical metric for hospital operational efficiency. While str...
Recently, reinforcement learning (RL) has been employed for improving generative image super-resolut...
The reliability of safety-critical industrial systems hinges on accurate and robust fault diagnosis ...
Drug-induced liver injury (DILI) is an acute inflammatory liver disease caused not only by prescript...
Machine learning has enabled powerful biological discoveries using models trained on large datasets....
A major challenge in biology is predicting how cells transition between states over time and how per...