Infectious Disease

COVID-19

Latest AI and machine learning research in covid-19 for healthcare professionals.

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1%>100%: High-Efficiency Visual Adapter with Complex Linear Projection Optimization

Deploying vision foundation models typically relies on efficient adaptation strategies, whereas conv...

Linguistic Indicators of Early Cognitive Decline in the DementiaBank Pitt Corpus: A Statistical and Machine Learning Study

Background: Subtle changes in spontaneous language production are among the earliest indicators of c...

SARS: A Novel Face and Body Shape and Appearance Aware 3D Reconstruction System extends Morphable Models

Morphable Models (3DMMs) are a type of morphable model that takes 2D images as inputs and recreates ...

Conformal Prediction Sets for Instance Segmentation

Current instance segmentation models achieve high performance on average predictions, but lack princ...

Machine Learning Phenotyping of Autonomic Stress from Daily Temperature and Ecological Assessments

Background: Artificial intelligence applications for preventive stress monitoring remain limited by ...

Fast Flow Matching based Conditional Independence Tests for Causal Discovery

Constraint-based causal discovery methods require a large number of conditional independence (CI) te...

FusionEdit: Semantic Fusion and Attention Modulation for Training-Free Image Editing

Text-guided image editing aims to modify specific regions according to the target prompt while prese...

Efficient Brain Extraction of MRI Scans with Mild to Moderate Neuropathology

Skull stripping magnetic resonance images (MRI) of the human brain is an important process in many i...

Mapping trans-eQTLs at single-cell resolution using Latent Interaction Variational Inference.

Single-cell expression quantitative trait loci (eQTL) studies hold promise for linking genetic varia...

Depth-Sensitive Optical Property Characterization Using Multi-Frequency Laparoscopic SFDI

Accurate knowledge of tissue absorption () and reduced scattering (s'), parameters is required to pl...

Contour Refinement using Discrete Diffusion in Low Data Regime

Boundary detection of irregular and translucent objects is an important problem with applications in...

Deconvolving mutation effects on protein stability and function with disentangled protein language models

Understanding how evolutionary constraints shape protein sequences is fundamental to deciphering the...

Computational Convergence of Adaptive Immunity and Artificial Intelligence

The adaptive immune system and modern artificial intelligence (AI) have independently converged on i...

Social contingency in embodied neural networks relies on co-constructed dynamical mechanisms.

What are the mechanisms that enable organisms to detect and respond to the actions of others? Social...

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AbNovoBench: a resource and benchmarking platform for monoclonal antibody de novo sequencing

Monoclonal antibodies (mAbs) are critical in disease diagnostics and therapeutics, yet the performan...

ExSEnt for explainable dementia detection: disentangling temporal and amplitude-driven complexity boosts EEG-based classification

Early detection of dementia enables timely intervention and better care planning. Electroencephalogr...

Ophiuchus-Ab: A Versatile Generative Foundation Model for Advanced Antibody-Based Immunotherapy

Antibodies exhibit extraordinary specificity and diversity in antigen recognition and have become a ...

VecSet-Edit: Unleashing Pre-trained LRM for Mesh Editing from Single Image

3D editing has emerged as a critical research area to provide users with flexible control over 3D as...

When LLaVA Meets Objects: Token Composition for Vision-Language-Models

Current autoregressive Vision Language Models (VLMs) usually rely on a large number of visual tokens...

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