Infectious Disease

COVID-19

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

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Generalist large language models complement tailor-made predictors for tumor genomics interpretation

General-purpose large language models (LLMs) are trained on large corpora to acquire broad knowledge...

AgroVG: A Large-Scale Multi-Source Benchmark for Agricultural Visual Grounding

Visual grounding, the task of localizing objects described by natural-language expressions, is a fou...

Distributed Image Compression with Multimodal Side Information at Extremely Low Bitrates

Distributed Image Compression (DIC) is crucial for multi-view transmission, especially when operatin...

SegCompass: Exploring Interpretable Alignment with Sparse Autoencoders for Enhanced Reasoning Segmentation

While large language models provide strong compositional reasoning, existing reasoning segmentation ...

Ternary Decision Trees with Locally-Adaptive Uncertainty Zones

Decision trees partition the feature space using hard binary thresholds, assigning identical confide...

AI-assisted improvement of Aspergillus oryzae β-galactosidase using an Ensemble of Protein Language Models

{beta}-galactosidases (BGs) are essential enzymes widely used in the food industry, particularly in ...

S-IGTD: supervised tabular-to-image topology learning via between-group correlation for multiclass classification of biological data

Motivation: Tabular-to-image methods allow convolutional neural network (CNN)-based classifiers to a...

Accurate protein stability prediction for small domains using mega-scale experiments

Predicting absolute protein folding stability is a long-standing challenge in biophysics, with broad...

CharacTERT: A machine learning tool for classifying hTERT missense variants

Missense mutations in TERT, the gene encoding the human telomerase catalytic subunit hTERT, are asso...

Prediction of Transcription Factor DNA Binding Affinity with High-Throughput Kd Measurements and Deep Learning

Transcription factors (TFs) regulate gene expression through specific interactions with genomic DNA....

Effects of Structural Reward Shaping on Biophysical Properties in RL-Trained Plasmid Generators

We compare the efficacy and distributional effects of supervised fine-tuning (SFT) and reinforcement...

Excitatory Dysfunction and Phenotypic Rescue in a Human Neuronal Model of SCN2A-Related Disorders

SCN2A-related disorders result from pathogenic variants in the gene encoding for the voltage-gated s...

Assessing the reliability of immunofluorescence image analysis with artificial intelligence

In view of the outstanding progress of machine learning (ML) and growing cost of health systems, it ...

Structure and Dynamics of the HIV-1 Envelope Protein on the Virion Envelope

HIV-1 buds from infected cells as immature virion particles with a scattered envelope glycoprotein (...

Token-Space Mask Prediction for Efficient Vision Transformer Segmentation

Query-based Vision Transformer segmentation models typically reconstruct dense spatial feature maps ...

Learning Normal Representations for Blood Biomarkers

Blood-based biomarkers underpin clinical diagnosis and management, yet their interpretation relies l...

StyleText: A Large-Scale Dataset and Benchmark for Stylized Scene Text Inpainting

We present StyleText, a large-scale dataset and benchmark for localized scene-text inpainting with s...

A Longitudinal Clinical Foundation Model on Nationwide Veteran Health Trajectories

We present VA-LLM, a 1.62-billion-parameter autoregressive transformer pre-trained from scratch on 1...

TogoMCP: Natural Language Querying of Life-Science Knowledge Graphs via Schema-Guided LLMs and the Model Context Protocol

Querying the RDF Portal knowledge graph maintained by DBCLS, which aggregates approximately 60 life-...

Evo 2 Predicts Cardiomyopathy-Associated Variants and Elucidates Their Underlying Mechanisms

Background: Although advances in next-generation sequencing have accelerated the identification of g...

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