Latest AI and machine learning research in hepatitis for healthcare professionals.
Background: Limited data utilization in low-resource settings poses a barrier to the vaccine delivery ecosystem, undermining efforts to achieve equitable immunization coverage. In nomadic populations, individuals face an increased risk of missing crucial vaccination doses as children. One such population is the Maasai in Narok County, Kenya, where the absence of high-volume, quality data hampers a...
Protein-protein interactions (PPIs) between a virus and its host govern infection, replication, and pathogenesis. While high-throughput mapping has identified thousands of virus-host associations, much of the virus-host interactome remains uncharacterized due to the labor-intensive nature of experimental screens, the inherent difficulty in capturing transient interactions, and the limited sequence...
Background: Interferon-gamma (IFN-{gamma}) is the primary effector cytokine of adaptive anti-tumor immunity, yet it paradoxically induces a potent imm...
Expert eye movements provide a rich, passive source of domain knowledge in radiology, offering a powerful cue for integrating diagnostic reasoning int...
Background Gene expression changes in response to developmental and environmental cues rely on cis-regulatory sequence elements (cREs). BRG1/BRM-Assoc...
In this paper, we address the problem of 6-DoF object pose estimation from a single RGB image. Indirect methods that typically predict intermediate 2D...
Motivation: The emergence of novel viral pathogens poses critical threats to global health, yet current computational approaches for viral risk assess...
Background: Length of stay (LOS) is a critical metric for hospital operational efficiency. While structured clinical data is widely used to predict LO...
Recently, reinforcement learning (RL) has been employed for improving generative image super-resolution (ISR) performance. However, the current effort...
The reliability of safety-critical industrial systems hinges on accurate and robust fault diagnosis in rotating machinery. Conventional graph neural n...
Drug-induced liver injury (DILI) is an acute inflammatory liver disease caused not only by prescription and over-the-counter medications but also by h...
Machine learning has enabled powerful biological discoveries using models trained on large datasets. However, for many important biological questions,...
A major challenge in biology is predicting how cells transition between states over time and how perturbations disrupt these transitions. Understandin...
Navigation in cluttered environments often requires robots to tolerate contact with movable or deformable objects to maintain efficiency. Existing con...
Emerging and evolving viral diseases, such as SARS-CoV-2, continue to pose significant global health challenges, underscoring the urgent need for rapi...
The protein-protein interactions (PPIs) between viruses and human play crucial roles in viral infections. Although numerous computational approaches h...
Single-view 3D human reconstruction has achieved remarkable progress through the adoption of multi-view diffusion models, yet the recovered 3D humans ...
Large language models (LLMs) are increasingly used by the public to seek health information, yet their reliability in addressing common vaccine myths ...
Mapping of T cell receptors (TCRs) to their cognate MHC-presented peptides (pMHC) is central for the development of precision immunotherapies and vacc...
The COVID-19 pandemic has presented severe challenges in understanding and predicting the spread of infectious diseases, necessitating innovative appr...