Discover the newest research about AI innovations in 🧠 Neuroscience.
Intraoperative tissue diagnostics using stimulated Raman histology shows promise for brain tumor surgeries. 🤖🧠 Initial results indicate high accuracy.
Genetic screening aids in diagnosing rare diseases. RYR1 variants often remain uncertain. AI and structural biology may improve classification. 🧬🔍
Recent research highlights lipid metabolism-related genes’ role in Alzheimer’s disease. Machine learning identifies potential biomarkers and treatment avenues. 🧠🔬
Recent research highlights the link between motor functions and cognitive abilities in young adults. 🧠💪 Key findings suggest that cardiorespiratory fitness and hand dexterity enhance intelligence.
Artificial intelligence enhances predictive models for intracranial aneurysm stability. Key factors: age, WBC, and uric acid. 🧠📊
A recent PubMed article explores AI’s role in segmenting cerebral cortex layers. 🧠 Enhanced neuroimaging insights may aid neurological disorder research. 📊
A new prognostic model predicts Alzheimer’s conversion risk using functional connectivity. Early detection is vital for effective management. 🧠📊
Key performance indicators (KPIs) in radiology enhance precision medicine, ensuring safety and improving diagnostic accuracy. 📊🩻
Recent research highlights sphingolipids, particularly sphinganine-1-phosphate, as key players in paclitaxel-induced neuropathy. 🧠💉
New research highlights a deep learning approach for tracking metastatic brain cancer. 📊🧠 NYUMets-Brain dataset aids in patient care.
