Health Tech Insights: Expectations for 2025
Health Tech Insights: Expectations for 2025 📊
Anticipation grows for NHS digital health advancements, focusing on data-driven care, integrated systems, and AI innovations. 🏥✨
January 2, 2025
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Discover the newest research about AI innovations in 🧬 Genetics.
Identifying the Most Important Factors Associated with Multiple Sclerosis Using the Decision Tree Method.
Recent research highlights key factors linked to Multiple Sclerosis. 🧠 Female gender, stress, and vitamin D deficiency are significant. 🌟
December 11, 2024
Mayo Clinic Leverages Real-World Data for Precision Medicine
Mayo Clinic uses real-world data and AI to enhance patient care and clinical decisions. This approach aims to improve treatment outcomes. 🏥💡
December 9, 2024
Introducing Evo: A Generative AI Model for Genetic Code
Evo is a generative AI model that writes genetic code, aiding research in genomics and bioengineering. 🧬✨
December 9, 2024
In Silico Tools to Score and Predict Cholesterol-Protein Interactions.
Cholesterol’s unique role in health is explored through innovative in silico tools for predicting protein interactions. 🧬🔍
December 2, 2024
A machine learning-based analysis of nationwide cancer comprehensive genomic profiling data across cancer types to identify features associated with recommendation of genome-matched therapy.
Machine learning enhances cancer treatment by identifying key patient features for genome-matched therapy. 🤖💊 Comprehensive genomic profiling is crucial.
November 27, 2024
Optimization of diagnosis and treatment of hematological diseases via artificial intelligence.
AI enhances diagnosis and treatment of hematological diseases, improving precision and efficiency. Challenges remain in standardization and data privacy. 🩸🤖
November 22, 2024
Genomic resources, opportunities, and prospects for accelerated improvement of millets.
Recent advancements in millet genomics offer hope for food security and nutrition. 🌾🔬 Explore the potential of AI in crop improvement.
November 21, 2024
[From gene to cell: Functional validation of RYR1 variants].
Genetic screening aids in diagnosing rare diseases. RYR1 variants often remain uncertain. AI and structural biology may improve classification. 🧬🔍
November 19, 2024
Deep learning pipeline for accelerating virtual screening in drug discovery.
Discover how VirtuDockDL enhances drug discovery using deep learning. 🧬 It achieves remarkable accuracy in identifying potential drug candidates. 💊
November 17, 2024