New Open-Source Platform BEACON Enhances Global Infectious Disease Surveillance
New platform BEACON enhances global infectious disease surveillance using AI and expert networks. ππ¦ Rapid threat detection and analysis.
May 20, 2025
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Discover the newest research about AI innovations in π¦ Epidemiology.
Current updates in the epidemiology and comorbidities of atopic dermatitis.
Epidemiology of atopic dermatitis reveals 10-20% prevalence globally, with significant comorbidities like asthma and allergic rhinitis. ππ©Ί
May 12, 2025
Tinnitus risk factors and its evolution over time.
Tinnitus risk factors identified: hearing health, mood, neuroticism, and sleep. Predictive model shows 78% accuracy! ππ
May 8, 2025
Explainable machine learning model for prediction of 28-day all-cause mortality in immunocompromised patients in the intensive care unit: a retrospective cohort study based on MIMIC-IV database.
Predicting 28-day mortality in ICU immunocompromised patients using machine learning: SVM achieves AUROC of 0.863 ππ‘
May 4, 2025
AI Model Predicts Antibiotic Resistance in Bacteria
AI predicts antibiotic resistance in bacteria, highlighting gene transfer in humans and wastewater. This research aids public health efforts. π¦ π¬
May 1, 2025
When the whole is greater than the sum of its parts: why machine learning and conventional statistics are complementary for predicting future health outcomes.
Machine learning π€ and conventional statistics π enhance health outcome predictions together, as shown in recent research.
April 25, 2025
Prediction of outpatient visits for allergic rhinitis using an artificial intelligence LSTM model – a study in Eastern China.
A recent study developed an LSTM model to predict allergic rhinitis outpatient visits, enhancing treatment and prevention strategies. πΏπ
April 10, 2025
Personalized prediction of esophageal cancer risk based on virtually generated alcohol data.
New research highlights personalized esophageal cancer risk prediction using genetic data and virtual alcohol consumption analysis. π·π
March 30, 2025
AI Utilization by UKHSA to Trace Food Poisoning Sources
UKHSA explores AI to analyze restaurant reviews for food poisoning sources. This could enhance disease surveillance and outbreak prevention. π½οΈπ€
March 22, 2025
Integrated multiomics analysis and machine learning refine neutrophil extracellular trap-related molecular subtypes and prognostic models for acute myeloid leukemia.
Recent research highlights the role of neutrophil extracellular traps in acute myeloid leukemia. π©Έ Key findings suggest potential for improved prognostic models. π
March 12, 2025