Infectious Disease

Vaccines

Latest AI and machine learning research in vaccines for healthcare professionals.

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A Universal, AI-based Design Framework for Efficient Manufacturing of mRNA Therapeutics

The growth of mRNA therapeutics is limited by bespoke manufacturing processes. To overcome this barr...

Predictors of COVID-19 hospital outcomes: a machine learning analysis of the National COVID Cohort Collaborative

Predicting hospital outcomes for patients with severe acute respiratory infections is critical for r...

Beyond Attention Heatmaps: How to Get Better Explanations for Multiple Instance Learning Models in Histopathology

Multiple instance learning (MIL) has enabled substantial progress in computational histopathology, w...

Leveraging large language models to address common vaccination myths and misconceptions

Large language models (LLMs) are increasingly used by the public to seek health information, yet the...

t2pmhc: A Structure-Informed Graph Neural Network to predict TCR-pMHC Binding

Mapping of T cell receptors (TCRs) to their cognate MHC-presented peptides (pMHC) is central for the...

MMR-Life: Piecing Together Real-life Scenes for Multimodal Multi-image Reasoning

Recent progress in the reasoning capabilities of multimodal large language models (MLLMs) has empowe...

Biomedical Large Language Models and Prompt Engineering for Causality Assessment of Individual Case Safety Reports in Pharmacovigilance

Background: Biomedical Large Language Models (LLMs) combined with prompt engineering offer domain-sp...

Automated Model Discovery Based on COVID-19 Epidemiologic Data

The COVID-19 pandemic has presented severe challenges in understanding and predicting the spread of ...

Genomic Evolution of SARS-CoV-2 Delta Variants Pre- and Post-Omicron Emergence using Alignment-free Machine Learning models

The SARS-CoV-2 Delta variant (B.1.617.2), initially classified as a variant of concern due to its en...

Mechanistic machine learning enables interpretable and generalizable prediction of prime editing outcomes

Although prime editing (PE) can effect virtually any specified local change to genomic DNA in living...

Universal Image Immunization against Diffusion-based Image Editing via Semantic Injection

Recent advances in diffusion models have enabled powerful image editing capabilities guided by natur...

seq2ribo: Structure-aware integration of machine learning and simulation to predict ribosome location profiles from RNA sequences

Motivation: Ribosome dynamics are vital in the process of protein expression. Current methods rely o...

Large mRNA language foundation modeling with NUWA for unified sequence perception and generation

The mRNA serves as a crucial bridge between DNA and proteins. Compared to DNA, mRNA sequences are mu...

Improving Robustness of Vision-Language-Action Models by Restoring Corrupted Visual Inputs

Vision-Language-Action (VLA) models have emerged as a dominant paradigm for generalist robotic manip...

De novo design of a safe and potent respiratory syncytial virus immuno-focusing antigen

Respiratory syncytial virus (RSV) remains the leading cause of severe respiratory infections in infa...

Reasoning Beyond Literal: Cross-style Multimodal Reasoning for Figurative Language Understanding

Vision-language models (VLMs) have demonstrated strong reasoning abilities in literal multimodal tas...

Integrating Quantitative Histology with Clinical Data Improves Prediction of Cervical Intraepithelial Neoplasia Regression

Cervical intraepithelial neoplasia grade 2 (CIN2) lesions show variable outcomes, and accurate predi...

GARD: Genomic Data based Drug Repurposing in Head and Neck Cancer with Large Language Model Validation

Background/ObjectivesHead and neck cancer (HNC) represents the seventh most common cancer diagnosis ...

Representation-Aware Unlearning via Activation Signatures: From Suppression to Knowledge-Signature Erasure

Selective knowledge erasure from LLMs is critical for GDPR compliance and model safety, yet current ...

HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability prediction

Accurately predicting how amino acid substitutions alter protein function is a central challenge in ...

Detection of S1 spike protein in CD16+ monocytes up to 245 days in SARS-CoV-2-negative post-COVID-19 vaccine syndrome (PCVS) individuals.

Despite over 13 billion SARS-CoV-2 vaccine doses administered globally, persistent post-vaccination ...

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