Discover the newest research about AI innovations in 🦠 Epidemiology.
Machine learning 🤖 and conventional statistics 📊 enhance health outcome predictions together, as shown in recent research.
A recent study developed an LSTM model to predict allergic rhinitis outpatient visits, enhancing treatment and prevention strategies. 🌿📊
New research highlights personalized esophageal cancer risk prediction using genetic data and virtual alcohol consumption analysis. 🍷📊
UKHSA explores AI to analyze restaurant reviews for food poisoning sources. This could enhance disease surveillance and outbreak prevention. 🍽️🤖
Recent research highlights the role of neutrophil extracellular traps in acute myeloid leukemia. 🩸 Key findings suggest potential for improved prognostic models. 📊
The DALY-CARE resource enhances research on lymphoid cancers, combining extensive health data for improved patient care. 📊💉
Self-employed truck drivers face increased crash risks due to fatigue. 🚚💤 A recent study highlights critical factors and predictive models.
Machine learning predicts a decline in under-5 mortality in Bangladesh. 📉 Key insights for policymakers and health professionals. 🏥
New research highlights the role of cerebral MRA in predicting cognitive impairment in the elderly. 🧠📊 Key factors include stenosis and radiomic features.
A comprehensive geodatabase reveals insights on cardiovascular health and environmental factors in Mashhad, Iran. 🌍❤️📊
