
AI Identifies Genetic Factors Linked to Parkinson’s Disease
AI identifies genetic factors linked to Parkinson’s disease, revealing potential drug repurposing opportunities. 🧬💊
Discover the newest research about AI innovations in 🧠 Neuroscience.

AI identifies genetic factors linked to Parkinson’s disease, revealing potential drug repurposing opportunities. 🧬💊

Women entrepreneurs excelled at the UK Women in Innovation Awards, showcasing innovative health tech solutions. 🏆💡

Recent advancements in Alzheimer’s diagnostics highlight new biomarker technologies and multimodal strategies for improved accuracy. 🧠🔬

AI model detects brain cancer spread non-invasively using MRI scans, achieving 85% accuracy. Promising for future clinical applications. 🧠🔍

New dementia prediction models show promise using clinical variables. Machine learning highlights APOE genotype’s role. 🧠🔍

New methods for early Alzheimer’s detection using retinal imaging show promise. 🧠👁️ Review of ReIU framework highlights significant accuracy.

New research highlights the role of cerebral MRA in predicting cognitive impairment in the elderly. 🧠📊 Key factors include stenosis and radiomic features.

Robeauté raises £23 million for microrobots in neurosurgery. These tiny robots aim to improve brain treatment and monitoring. 🧠🤖

New AI methods can predict neurologic changes in critically ill infants using video data. 🤖👶 Promising for NICU care!

AI enhances stroke imaging, offering personalized care through advanced models. Challenges remain in real-world application. 🧠💡