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. π§¬β¨
December 9, 2024
Follow us
latest articles
Discover the newest research about AI innovations in 𧬠Genetics.
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. π§¬π
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. π€π 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. π©Έπ€
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. πΎπ¬ 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. π§¬π
November 19, 2024
Deep learning pipeline for accelerating virtual screening in drug discovery.
Discover how VirtuDockDL enhances drug discovery using deep learning. 𧬠It achieves remarkable accuracy in identifying potential drug candidates. π
November 17, 2024
Artificial intelligence modeling of biomarker-based physiological age: Impact on phase 1 drug-metabolizing enzyme phenotypes.
AI models assess physiological age using biomarkers, impacting drug metabolism. Key predictors include glycohemoglobin and systolic blood pressure. π§¬π
November 15, 2024
Deciphering the role of lipid metabolism-related genes in Alzheimer’s disease: a machine learning approach integrating Traditional Chinese Medicine.
Recent research highlights lipid metabolism-related genes’ role in Alzheimer’s disease. Machine learning identifies potential biomarkers and treatment avenues. π§ π¬
November 13, 2024
Understanding the Impact of AI on Precision Healthcare
AI transforms precision healthcare, enhancing patient outcomes and operational efficiency through genomic analysis and personalized wellness programs. π§¬π€
November 10, 2024