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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 🧬 Genetics.
AI identifies genetic factors linked to Parkinson’s disease, revealing potential drug repurposing opportunities. 🧬💊
Antiviral therapy reduces immune-related adverse events in HBV-positive liver cancer patients treated with immunotherapy. 📉💊
Next-Generation Sequencing enhances precision medicine in hepatocellular carcinoma, addressing drug resistance and improving treatment outcomes. 🧬🔬
A recent study highlights a deep learning model for lung cancer detection, achieving 99.75% accuracy. 🫁📊
New dementia prediction models show promise using clinical variables. Machine learning highlights APOE genotype’s role. 🧠🔍
We reviewed a study on HIT, a model predicting therapeutic gene targets using deep hypergraph learning. 🧬📊
New research highlights the role of cerebral MRA in predicting cognitive impairment in the elderly. 🧠📊 Key factors include stenosis and radiomic features.
New framework improves AI’s analysis of genomic data, enhancing accuracy in cell annotations and biological research. 🧬🔬
Antibody-drug conjugates (ADCs) show promise in cancer therapy but face challenges like toxicity and resistance. 🧬💉
Health Tech Insights: Expectations for 2025 📊
Anticipation grows for NHS digital health advancements, focusing on data-driven care, integrated systems, and AI innovations. 🏥✨