Latest AI and machine learning research in covid-19 for healthcare professionals.
Large diffusion transformers (DiTs) follow global editing instructions well but consistently leak lo...
Background: Radiographic detection of caries lesions adjacent to restorations is challenging due to ...
Objective: To propose and retrospectively validate an integrated framework addressing three barriers...
Precise epitope recognition underpins the efficacy and safety of therapeutic antibodies, yet existin...
Entrenchment - epistasis that locks in amino acid differences between homologous proteins, so each d...
Despite significant progress in Multi-modal Large Language Models (MLLMs), their clinical reasoning ...
Panoramic radiography is a fundamental diagnostic tool in dentistry, offering a comprehensive view o...
Conformational flexibility is fundamental to the function of many proteins and in the case of antibo...
Predicting the clinical significance of genetic variants remains a central challenge in genomic medi...
Preclinical antibody discovery relies on progressive screening and down-selection of candidate antib...
Instance-level object segmentation across disparate egocentric and exocentric views is a fundamental...
Glitches frequently contaminate data in gravitational-wave detectors, complicating the observation a...
We address the challenge of synthetic-to-real transfer in forestry perception where real data have o...
In this study, we investigate gender bias in a Retrieval-Augmented Generation (RAG) based AI assista...
Style transfer aims to render a content image with the visual characteristics of a reference style w...
Real-world industrial inspection requires not only localizing defects, but also explaining them in n...
Computational phantoms are widely used in medical imaging research, yet current systems to generate ...
Digital breast tomosynthesis (DBT) is now the standard of care for breast cancer screening in the US...
Visual Foundation Models (VFMs) such as the Segment Anything Model (SAM) have significantly advanced...
Quantitative genetic approaches such as genome-wide association studies and genomic prediction are w...
Low-light conditions severely hinder 3D restoration and reconstruction by degrading image visibility...