Latest AI and machine learning research in covid-19 for healthcare professionals.
mRNA-based therapeutics have emerged as a transformative class of medicines, yet their translation beyond infectious disease vaccines remains challenged by the absence of an integrated pharmacological framework accounting for the tri-component nature of these therapies - the lipid nanoparticle, the mRNA, and the expressed protein. Here, we present a modular, multiscale computational platform integ...
Volatile organic compounds (VOCs) define the distinctive aroma of cannabis and critically influence consumer preference, cultivar authentication, and breeding programs. However, systematic characterization of VOC diversity across commercial drug-type cultivars remains limited. This study presents a comprehensive volatilomics-based phenotypic characterization of 165 commercial drug-type cannabis ac...
Computational predictors of RNA splicing are increasingly used to interpret genetic variants and to design synthetic genes, yet they are almost always...
Segmentation models can surpass radiologists, classification models, and vision-language models in tumor detection. Importantly, segmentation models o...
Patient-conditioned acquisition policies for ECG lead-channel selection can outperform population-wide fixed protocols by tailoring the channel budget...
Visual inspection of welded assemblies remains one of the least automated stages in many industrial production processes, still depending largely on t...
Spoken-language analysis via prompt-based domain-adaptive models is a promising direction for low-resource, non-invasive dementia screening, but such ...
Sidewalk-scale path extraction demands perception and planning that run reliably on compact, low-power hardware in cluttered, map-sparse environments....
Since copy number variations (CNVs) in pharmacogenes can cause significant alterations in drug metabolism, their reliable detection is of high importa...
Material replacement is a common interior-design operation: changing the material of a selected surface while preserving its geometry, surroundings, a...
Video games provide a scalable source of training data for video world models, offering diverse environments, complex interactions, and abundant in-th...
Generative models are commonly ranked by Fréchet Inception Distance (FID) and Kernel Inception Distance (KID), yet FID's first-two-moment summary can ...
Video generation is progressing beyond isolated clips toward long-form narratives and interactive worlds, requiring models to preserve identities, fol...
Background: Large language models (LLMs) have shown increasing capability in medical knowledge tasks, yet how they perform in extracting structured cl...
Accurately predicting the effects of mutations on protein-RNA binding is crucial for elucidating disease mechanisms. Yet, exhaustively exploring the s...
Widespread genetic testing has expanded variant identification, yet functional characterization remains a bottleneck in genome guided medicine. Here, ...
Object-centric world models forecast future videos by evolving a set of entity slots, but the variables receiving dynamics supervision are often uncon...
Referring Expression Segmentation (RES) aims to generate a pixel-level mask for the object specified by a language expression. Recent methods based on...
Video generation is progressing beyond isolated clips toward long-form narratives and interactive worlds, requiring models to preserve identities, fol...
Medical image segmentation requires high accuracy and robustness, yet practical commercial deployment also demands privacy preservation and computatio...