23andMe Sale Approved by Judge Amid Privacy Concerns
23andMe’s sale to TTAM Research Institute approved, ensuring customer DNA privacy amid ongoing legal concerns. π§¬βοΈ
July 1, 2025
Follow us
latest articles
Discover the newest research about AI innovations in 𧬠Genetics.
Bridging Genomics to Cardiology Clinical Practice: Artificial Intelligence in Optimizing Polygenic Risk Scores: A Systematic Review.
AI-Optimized Polygenic Risk Scores Enhance Cardiovascular Disease Prediction: A Systematic Review of 13 Studies πβ€οΈ
June 29, 2025
Adolescent lumbar disc herniation: etiology, diagnosis, and treatment options.
Adolescent lumbar disc herniation: rising incidence, unique diagnosis, and evolving treatment options. ππ©Ί
June 21, 2025
Recent advances and challenges in colorectal cancer: From molecular research to treatment.
Colorectal cancer’s global impact: 1.9 million cases in 2020. AI and organoids offer hope amid treatment challenges. π§¬π
June 20, 2025
Optimizing Plant Alkaloid Biosynthesis under Drought Stress: Regulatory Mechanisms and Biotechnological Strategies.
Drought stress impacts alkaloid biosynthesis in plants. π± Explore regulatory mechanisms and biotechnological strategies for resilience! π§
June 17, 2025
Machine Learning Tool Developed for Colorectal Cancer Diagnosis and Monitoring
New machine learning tool aids in colorectal cancer diagnosis and monitoring by analyzing metabolic profiles. π§¬π
June 12, 2025
New Telemedicine Service for Breast Cancer Prevention Launched in the UK
New telemedicine service for breast cancer prevention launched in the UK. Women 30+ can assess their risk. π©Ίπ
June 10, 2025
Comparing models and experimental structures of the GPR101 receptor: Artificial intelligence yields highly accurate models.
AI models outperform traditional methods in GPR101 receptor analysis, revealing critical insights for GPCR modeling. π€π¬
June 6, 2025
AI Innovations in Immunotherapy: The Role of Immunogenomics, Radiomics, and Pathomics
AI enhances immunotherapy through genomics, radiomics, and pathomics, improving personalized treatment strategies. π§¬π»π
June 3, 2025
Identifying Kidney Stone Risk Factors Through Patient Experiences With a Large Language Model: Text Analysis and Empirical Study.
Kidney stone risk factors identified via patient experiences: 95.9% accuracy using AI analysis of 11,819 comments. π§π½οΈ
May 27, 2025