Infectious Disease

Vaccines

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

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T-cell receptor specificity landscape revealed through de novo peptide design

T-cells play a key role in adaptive immunity by mounting specific responses against diverse pathogen...

T-SCAPE: T-cell Immunogenicity Scoring via Cross-domain Aided Predictive Engine

T-cell immunogenicity, the ability of peptide fragments to elicit T-cell responses, is a critical de...

Hollow-fibre biomanufacturing and cell-free engineering of HEK293 extracellular vesicles

Extracellular vesicles (EVs) are lipid-delineated nanoparticles that are produced by most cell types...

MAP-PRS: Multi-Ancestry Portfolio-Based Polygenic Risk Scores

Polygenic Risk Scores (PRS) are emerging tools for predicting an individual’s genetic risk for compl...

peleke-1: A Suite of Protein Language Models Fine-Tuned for Targeted Antibody Sequence Generation

The discovery of therapeutic antibodies is a traditionally arduous process. Today, the lab-based pro...

An Immuno-Linguistic Transformer for Multi-Scale Modeling of T-Cell Spatiotemporal Dynamics

Understanding the spatiotemporal dynamics of T-cell clones is a critical challenge in immunology and...

A study on edge devices for image classification of the Tasmanian devil (Sarcophilus harrisii) for vaccine delivery

A target-specific bait dispenser is required for oral bait vaccination of the endangered Tasmanian d...

ppLM-CO:Pre-trained Protein Language Model for Codon Optimization

Messenger ribonucleic acid (mRNA) vaccines represent a major advancement in synthetic biology, yet t...

Integrative spatial multi-omics reveals prognostic tumor niches in female genital tumors

Female genital tumors (FGTs), including ovarian, endometrial, and cervical cancers, pose a major glo...

ARCADE: Controllable Codon Design from Foundation Models via Activation Engineering

Codon sequence design is crucial for generating mRNA sequences with desired functional properties fo...

Lab-in-the-loop therapeutic antibody design with deep learning

Therapeutic antibody design is a complex multi-property optimization problem with substantial promis...

Iterative immunogen optimization to focus immune responses on a conserved, subdominant viral epitope

Designing effective vaccination strategies against genetically diverse viruses, such as HIV or influ...

Viral protease-Initiated Pyroptosis Activator mRNA therapy as a Universal Antiviral Strategy

Although therapeutic drugs targeting gasdermin (GSDM)-mediated pyroptosis have made remarkable progr...

Predicting Future SARS-CoV-2 Mutations using Deep Learning

SARS-CoV-2 continues to spread over the world steadily as opposed to many earlier estimations that i...

De Novo Computational Design of VHH Nanobodies Against LGR5

VHH discovery traditionally relies on animal immunization or large-scale library screening, methods ...

Large generative mRNA language foundation model for efficient coding sequence generation and design with mRNA-GPT

mRNA design plays a central role in synthetic biology, nucleic acid therapeutics, and vaccine develo...

VaxjoGNN: A Graph Neural Network for Ontology-Grounded Vaccine Adjuvant Recommendation

The selection of an effective adjuvant is a critical bottleneck in vaccine development, particularly...

Subtype-Specific Dependencies and Drug Vulnerabilities Enable Precision Therapeutics in Head and Neck Cancer

Molecular heterogeneity in head and neck squamous cell carcinoma (HNSCC) is well recognized, yet exi...

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