Pulmonology

Pneumonia

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

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Predicting antifolate resistance in the unculturable fungal pathogen Pneumocystis jirovecii

Pneumocystis jirovecii is a fungal pathogen causing Pneumocystis pneumonia in humans, mainly in immu...

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...

Predicting microbial community responses to disturbance using genome-resolved trait-based life-history strategies

Understanding how microbial communities respond to disturbance remains a fundamental question in eco...

Decoding emergent properties of microbial community functions through sub-community observations and interpretable machine learning

The functions of microbial communities, including substrate conversion and pathogen suppression, ari...

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...

SignalGen: A Protein Language Model Based AI Agent For Optimal Signal Peptide Prediction

Signal peptides are short amino acid sequences attached to the N-termini of mature proteins. They pl...

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...

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...

Hierarchical Community Structure of the Adult Drosophila Connectome Reveals Conserved Circuit Archetypes

Biological neural networks can be meaningfully partitioned into sub-networks referred to as communit...

MeLSI: Metric Learning for Statistical Inference in Microbiome Community Composition Analysis

Microbiome beta diversity analysis relies on distance-based methods including PERMANOVA combined wit...

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...

Using large language models to understand the public discourse towards vaccination in Brazil between January 2013 and December 2019

Vaccination against infectious diseases prevents diseases, saves lives, and reduces healthcare costs...

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