Vaccines

Development of a cervical cancer progress prediction tool for human papillomavirus-positive Koreans: A support vector machine-based approach.

OBJECTIVES: To develop a Web-based tool to draw attention to patients positive for human papillomavirus (HPV) who have a high risk of progression to cervical cancer, in order to increase compliance with follow-up examinations and facilitate good doctor-patient communication.

NIEluter: Predicting peptides eluted from HLA class I molecules.

The immune system has evolved to make a diverse repertoire of peptides processed from self and foreign proteomes, which are displayed in antigen-binding grooves of major histocompatibility complex (MHC) proteins at cell surface for surveillance by T cells. These antigenic peptides are termed Naturally Processed Peptides or Naturally Presented Peptides (NPPs), which play a major role in cell-mediat...

Humanoid robotics in health care: An exploration of children's and parents' emotional reactions.

A new non-pharmacological method of distraction was tested with 57 children during their annual flu vaccination. Given children's growing enthusiasm f...

An Integrative Computational Approach to Predict Viral Epitopes by Targeting the MHC-TCR Complexation

T-cell immunity acts as a major defense system against controlling viral infections in vertebrates. During viral entry, innate immune cells degrade th...

Tc17-driven antibody-independent mucosal immunity is critical for protection against extracellular bacterial pneumonia

Klebsiella pneumoniae (Kp) is a WHO high-priority pathogen for vaccine development, yet previous efforts failed largely because key protective immune ...

Towards a ML-powered Multiscale Computational Platform Based on QSP and PBPK Modeling to Support the Development of mRNA-based Therapies

mRNA-based therapeutics have emerged as a transformative class of medicines, yet their translation beyond infectious disease vaccines remains challeng...

Optimizing RNA yield using deep neural networks coupled to massively parallel screening

Messenger RNA (mRNA)-based therapeutics have emerged as a powerful platform for vaccines, protein replacement therapies, and cancer immunotherapy. A c...

MaternaAI: Enhancing Equitable Maternal Healthcare in Kerala with Fairness-Aware and Explainable Learning Models

Maternal healthcare prediction systems often suffer from algorithmic biases due to socio-economic disparities and imbalanced datasets, limiting their ...

Mapping the Pandemics Echo: Dynamic Narrative Detection and Spatio-Temporal Sentiment Modeling of COVID-19 Discourse on Twitter

The COVID-19 pandemic triggered an unprecedented volume of real-time discourse on social media platforms, with Twitter serving as a global forum for p...

Regional and Temporal Patterns of COVID-19 Vaccine Misinformation in Sub-Saharan Africa

BackgroundDespite a global rollout of COVID-19 vaccines, Sub-Saharan Africa lagged behind other regions in vaccination coverage, driven primarily by i...

Structure-aware deep learning predicts influenza antigenicity and guides vaccine strain recommendation

The continuous accumulation of genetic mutations in influenza A viruses (IAVs) drives antigenic drift, necessitating precise antigenic prediction for ...

In-Context Collapse in Vision-Language Models and How to Mitigate it?

Many-shot in-context learning (ICL) lets vision-language models (VLMs) adapt from image--label demonstrations without weight updates, and is widely as...

Estimating Time-Inhomogeneous Transition Probabilities from District Level Daily COVID-19 Transmission Data in Sierra Leone

Abstract: Compartmental epidemic models conventionally treat the probability of moving between dis ease states as fixed over time, an assumption that ...

Negative controls reveal volume-driven confounding in radiomics and imaging foundation model features

Radiomics and imaging foundation models promise non-invasive biomarkers of tumour biology, yet predictive signatures may reflect tumour volume or acqu...

In-Context Learning for Wound Classification with Small Multimodal Language Models

Wound image classification is often treated as a task-specific supervised learning problem, requiring substantial amounts of manually labelled data an...

Ensembles of in silico structures enable T cell peptide-MHC binding prediction

Adaptive immunity relies on T-cell receptor (TCR) recognition of peptides presented by the major histocompatibility complex (pMHC). Accurate predictio...

SemVac: A Semantic Vaccinology Paradigm Powered by LLMs for Antigen Discovery

Reverse vaccinology has enabled sequence-based antigen discovery, but it overlooks the rich semantic knowledge embedded in the biomedical literature. ...

Learned Immune Architectures of Durable Antibody Responses Across Vaccines

Vaccination is one of the most effective public health interventions. However, vaccine efficacy varies widely among individuals, as immunity arises fr...

FlowPET: Physics-Informed Symplectic Flow Matching for Low-Count PET Reconstruction

Low-count Positron Emission Tomography (PET) reconstruction is severely hindered by the dissipative nature of prevailing generative models, where the ...

Similarity-Guided Curriculum Fine-Tuning of LLMs for Neural Architecture Synthesis

Introduce a MinHash-based similarity scheduling framework that constructs a progressive curriculum over neural architecture code for LLM-based neural ...