Infectious Disease

Pandemic emergency: A multi-level AI framework for analyzing psychological impact through public discourse.

Emergency management has become a widely discussed topic in recent years, particularly in relation to different types of emergencies such as climate change, natural disasters, public health, and armed conflicts. The Covid-19 pandemic has triggered unprecedented uncertainty, sparking a global emergency that raised concerns not only about health but also social, economic, and environmental stability...

Host-Pathogen Network and Eco-Evolutionary Drivers of Avian Influenza Transmission in Wild Birds.

Multi-host pathogens vary in how they utilise different hosts, yet the traits determining which species occupy central positions in transmission networks remain poorly understood. We tested whether the wild bird-avian influenza virus (AIV) network exhibits a scale-free structure, implying that hub hosts disproportionately contribute to transmission and whether ecological and evolutionary traits jo...

Predicting Bacterial Radiation Resistance Through Identifying Novel Genomic Features.

Radiation resistance in bacteria is a critical trait with implications for biotechnology, medicine and environmental science. Deinococcus species poss...

Combining bioinformatics and machine learning to analyze and validate sepsis-related cell senescence genes and potential drugs.

Sepsis is a life-threatening organ malfunction induced by the host's abnormal reaction to infection. Sepsis can induce cellular senescence, thereby ex...

Field-based and close-range multispectral imaging dataset for Huanglongbing (HLB) detection in orange trees: A resource for machine learning and digital agriculture.

This article presents a multispectral imaging dataset dedicated to training a machine learning algorithm for the in situ detection of Huanglongbing (H...

Circular RNAs in virus-induced cancers: From mechanism to clinical implications.

Viruses, during their lifecycle, are continuously dependent on host machinery for their survival. Sometimes this dependency leads to uncontrolled cell...

AI-driven big data analysis and predictive modeling of infectious disease immunity: from correlates to causal, multiscale understanding.

The ability to reliably predict protective immunity against infectious diseases remains a central challenge in immunology, vaccine development, and pu...

Probiotics and Postbiotics in Life-Style Disease Management: A Comprehensive Review on the Technologies in the Era of Omics and Artificial Intelligence.

Both conventional and next-generation probiotics play a crucial role in maintaining host homeostasis. They modulate insulin sensitivity, immune-regula...

The spatial proteome of the Plasmodium falciparum schizont illuminates the composition and evolutionary trajectories of its organelles.

Malaria is caused by apicomplexan parasites of the genus Plasmodium, with all malaria symptoms and pathology caused by parasite stages that develop wi...

Multikingdom microbiome-based machine learning enables multiple sclerosis diagnosis.

Emerging evidence suggests a role for the gut bacteria in the pathogenesis of multiple sclerosis (MS); however, the role of other microorganisms and t...

Analyzing Global Threat of Lumpy Skin Disease Virus Infection: A Comparative Study of a Time Series Model and Machine Learning Models Across 10 High-Risk Countries.

Lumpy Skin Disease (LSD), caused by the Lumpy Skin Disease Virus (LSDV), which is a part of the family of Poxviridae, subfamily Chordopoxviridae, and ...

Machine learning-based discovery of GW3965 as a therapeutic compound against invasive emm92-type group A Streptococcus.

A multi-drug resistant emm92-type strain of group A Streptococcus (GAS) has emerged as an important causative agent of invasive infections-particularl...

Advancing child health: forecasting the next great research achievements.

Advances in pediatric research have improved the lives of infants, children, adolescents, and society at large. A decade ago the American Academy of P...

Machine-learning prediction of 30-day infection-related hospitalization in advanced CKD.

BACKGROUND: Patients with advanced chronic kidney disease (CKD), defined as having an estimated glomerular filtration rate (eGFR) < 45 ml/min/1.73 m²,...

Machine learning prediction of long-term postoperative pneumonia risk: a retrospective cohort study.

BACKGROUND: Postoperative pneumonia is a significant complication, highlighting a patient's ongoing vulnerability. While traditional tools focus on sh...

PRIME: An evaluation framework for protein representation inference and generalization in viral mutation space.

BACKGROUND: Protein language models (PLMs) have revolutionized protein fitness prediction, yet their application to rapidly evolving viral pathogens i...

Pediatric post-acute sequelae of SARS-CoV-2 infection in Taiwan: Insights from the DISCOVER cohort.

The post-acute sequelae of SARS-CoV-2 infection (PASC), or long COVID, represent a multifaceted challenge in pediatric populations, characterized by s...

Association between the development of sepsis and the BAR index in patients with acute pancreatitis: A retrospective investigation based on MIMIC-IV database.

Sepsis, as a severe complication of acute pancreatitis (AP), needs to be identified and treated as early as possible. The blood urea nitrogen-to-album...

Deep learning uncovers conserved regulatory logic and element dosage underlying stable gene expression in grasses.

Gene expression programs are widely conserved across grasses despite rapid evolutionary turnover of cis-regulatory element (CRE) sequences, yet the me...

European Science for Health Research Needs and Priorities.

The European research landscape for developing new diagnostic, preventive, and therapeutic interventions is fraught with challenges. Scarcity of quali...