Latest AI and machine learning research in covid-19 for healthcare professionals.
Deploying vision foundation models typically relies on efficient adaptation strategies, whereas conventional full fine-tuning suffers from prohibitive costs and low efficiency. While delta-tuning has proven effective in boosting the performance and efficiency of LLMs during adaptation, its advantages cannot be directly transferred to the fine-tuning pipeline of vision foundation models. To push th...
Background: Subtle changes in spontaneous language production are among the earliest indicators of cognitive decline. Identifying linguistically interpretable markers of dementia can support transparent and clinically grounded screening approaches. Methods: This study analyzes spontaneous speech transcripts from the DementiaBank Pitt Corpus using three linguistic representations: raw cleaned tex...
Objective: The immune system plays a role in the occurrence and progression of numerous pregnancy complications, particularly preeclampsia (PE). This ...
Morphable Models (3DMMs) are a type of morphable model that takes 2D images as inputs and recreates the structure and physical appearance of 3D object...
Current instance segmentation models achieve high performance on average predictions, but lack principled uncertainty quantification: their outputs ar...
Background: Artificial intelligence applications for preventive stress monitoring remain limited by dependence on expensive continuous biosensors. We ...
Constraint-based causal discovery methods require a large number of conditional independence (CI) tests, which severely limits their practical applica...
Text-guided image editing aims to modify specific regions according to the target prompt while preserving the identity of the source image. Recent met...
Skull stripping magnetic resonance images (MRI) of the human brain is an important process in many image processing techniques, such as automatic segm...
Abstract Background: Colorectal cancer (CRC) is a leading cause of cancer mortality. While early detection improves outcomes, current non-invasive tes...
Formalin-fixed paraffin-embedded (FFPE) tissues represent a vast archival resource for genomic studies, yet their utility remains constrained by fixat...
Single-cell expression quantitative trait loci (eQTL) studies hold promise for linking genetic variants to changes in gene expression in individual ce...
Accurate knowledge of tissue absorption () and reduced scattering (s'), parameters is required to plan and monitor laparoscopic chemophototherapy (CPT...
Boundary detection of irregular and translucent objects is an important problem with applications in medical imaging, environmental monitoring and man...
Understanding how evolutionary constraints shape protein sequences is fundamental to deciphering the molecular mechanisms underlying protein stability...
The adaptive immune system and modern artificial intelligence (AI) have independently converged on identical computational strategies for solving the ...
Computational screening is increasingly becoming a crucial aspect of Antibody Drug Conjugate (ADC) research, allowing the elimination of dead ends at ...
What are the mechanisms that enable organisms to detect and respond to the actions of others? Social contingency, or the degree to which one's actions...
Monoclonal antibodies (mAbs) are critical in disease diagnostics and therapeutics, yet the performance of mass spectrometry (MS)-based de novo sequenc...
Early detection of dementia enables timely intervention and better care planning. Electroencephalography, being accessible and noninvasive, offers a p...