Latest AI and machine learning research in covid-19 for healthcare professionals.
Many real-world computer vision tasks, such as depth completion, must handle inputs with arbitrarily...
Tumour typing from whole-genome sequencing is increasingly accurate, yet molecular subtyping from so...
Open-set semantic mapping enables language-driven robotic perception, but current instance-centric a...
Backgrounds: Most rare coding variants in monogenic disease genes remain classified as Variants of U...
While protein language models (PLMs) have shown great promise for protein design, their performance ...
DNA length analysis is essential for genomic workflows including next-generation sequencing and frag...
Personalized AI assistants must recall and reason over long-term user memory, which naturally spans ...
The classification of Intangible Cultural Heritage (ICH) images in the Mekong Delta poses unique cha...
Motion transfer has emerged as a promising direction for controllable video generation, yet existing...
Foundation vision models are increasingly adopted in medical image analysis. Due to domain shift, th...
Image-driven video editing aims to propagate edit contents from the modified first frame to the rest...
Large multimodal models (LMMs) exhibit strong task generalization capabilities, offering new opportu...
At present, there are no easily understood explainable artificial intelligence (AI) methods for disc...
Transcription factors recognise and bind specific DNA sequence patterns in promoters and enhancers t...
Predicting how cells respond to chemical perturbations is one of the goals for building virtual cell...
Synthetic lethality (SL) offers a promising paradigm for targeted cancer therapy, yet experimental i...
Background Accurate diagnostic tools are needed in schistosomiasis elimination settings to determine...
The optimization of complex medical appointment scheduling remains a significant operational challen...
Background: Artificial Intelligence (AI) based approaches to speech analysis have the potential to a...
Background: Diagnostic errors are a leading cause of preventable patient harm, often occurring durin...
We present SPRITETOMESH, a fully automatic pipeline for converting 2D game sprite images into triang...