Infectious Disease

A spatiotemporal U-Net++ deep learning framework for dengue risk mapping in Colombia.

Understanding dengue dynamics from a spatiotemporal perspective has become increasingly relevant in recent years, as it allows the identification of factors influencing disease transmission, including climatic conditions, human behavior, and the distribution of Aedes aegypti, the primary vector responsible for dengue virus transmission in tropical and subtropical regions. This knowledge is essenti...

Machine learning for precision prediction of antimicrobial peptide activity and spectrum.

The accelerating global crisis of antibiotic resistance demands new therapeutic paradigms, and antimicrobial peptides (AMPs) have emerged as promising candidates owing to their broad activity and reduced propensity for resistance development. However, despite rapid progress in AMP discovery and generation, the accurate prediction of antimicrobial potency and activity spectrum remains a major bottl...

Real-time clinical decision support system for early identification of infection and sepsis in the intensive care unit: a retrospective development and prospective deployment study.

BACKGROUND: Sepsis and infection are distinct yet overlapping conditions in the intensive care unit (ICU), posing diagnostic and management challenges...

Intron retention in health and amyotrophic lateral sclerosis.

Intron retention (IR) is the molecular phenomenon by which introns, historically thought to represent non-coding 'junk', remain unspliced within pre-m...

Machine learning-assisted quorum sensing molecules regulate growth progression and bioactivity of an oxygenic photobiofilm for non-aeration greywater purification.

Microalgal-bacteria consortium provide self-aeration through photosynthetic oxygen production, offering an energy-efficient strategy for wastewater tr...

Subphenotypes of pneumonia defined by pulmonary histopathological features.

RATIONALE: Establishing subphenotypes of pneumonia based on host biology will be a step toward using host-directed therapies (to complement microbe-di...

HBV-Specific T Cell Responses for Short-Term Hepatitis Progression Prediction: A Comparative, Interpretable Machine Learning Study.

BACKGROUND & AIMS: As central determinants of viral control and immunopathology, hepatitis B virus (HBV)-specific T-cell responses provide more clinic...

Deep mutational scanning of SARS-CoV-2 nucleocapsid reveals regional stability patterns.

Point mutations within the SARS-CoV-2 nucleocapsid protein (NP) have the potential to impact not only detection but the viral life cycle, and therefor...

Enhancing machine learning-based binder design with high-throughput screening: A comparison of mRNA and yeast display technologies.

Recent advances in machine learning (ML)-based protein design methods have enabled the rapid in silico generation of large libraries of miniprotein bi...

Engineering selective amyloid precursor protein inhibitors by machine learning and deep mutational scanning.

Deep mutational scanning (DMS) has proven effective for mapping protein-protein interactions (PPIs), but it cannot provide complete coverage of the mu...

Multiomics Profiling Identifies Blood-Based Diagnostic Markers for Sepsis.

Sepsis, characterized by a rapid transition to systemic immune dysregulation and multiorgan failure, poses a formidable clinical challenge. The lack o...

Mycoplasma infection drives EGFR-TKI resistance through convergent transcriptomic reprogramming in non-small cell lung cancer.

Epidermal growth factor receptor (EGFR) mutations are an oncogenic driver in non-small cell lung cancer (NSCLC), but resistance to EGFR tyrosine kinas...

Explainable Machine Learning for Public Health Informatics in HEDIS Childhood Immunization Status Combination 10.

Completion of the HEDIS (Healthcare Effectiveness Data and Information Set) Childhood Immunization Status Combination 10 (Combo 10) measure among US c...

A colorimetric sensor array for bacterial identification based on differential etching of T-AgNPs on metal ion-treated cells.

Conventional nanoparticle-based colorimetric sensor arrays typically require the synthesis of multiple differently modified nanoprobes as sensing elem...

The role of cellular senescence in sepsis and its mechanism in copper death: An analysis based on machine learning.

Sepsis is characterized by potentially fatal organ failure resulting from the host's abnormal response to infection. Due to the complex and rapid prog...

Advancing Human-Centered AI in Clinical Decision Support: Sociocognitive Human-in-the-Loop Study in HIV Care.

BACKGROUND: AI-powered clinical decision support systems (CDSS) have shown promise in improving prediction, monitoring, and treatment optimization acr...

Modular RNA-seq Analytics for Exploratory Biomarker Discovery using Public Data.

Publicly available RNA sequencing (RNA-seq) data provide a cost-effective springboard for biomarker discovery. However, heterogeneity across studies o...

Beyond the parasite: reframing cutaneous leishmaniasis as a host-microbiome-vector ecosystem.

Disease outcomes of cutaneous leishmaniasis (CL) result from dynamic interactions between host immunity, Leishmania parasites and the host-sandfly mic...

Mechanisms, management and prevention of anorectal sexually transmitted infections.

Anorectal bacterial sexually transmitted infections, predominantly chlamydia, gonorrhoea and syphilis, represent a substantial and evolving global hea...

RETRACTION: Multithreshold Segmentation and Machine Learning Based Approach to Differentiate COVID-19 from Viral Pneumonia.

[This retracts the article DOI: 10.1155/2022/2728866.].