New AI Tools from Penn Enhance Kidney Disease Treatment
New AI tools from Penn enhance kidney disease treatment by analyzing cellular data for personalized therapies. ๐งฌ๐
September 6, 2025
Follow us
latest articles
Discover the newest research about AI innovations in ๐ค Personalized Medicine.
Plasma proteomics identifies molecular subtypes in sepsis.
Plasma proteomics reveals four sepsis subtypes, with Cluster 0 showing 100% mortality. Key for personalized therapies! โ ๏ธ๐ฌ
September 3, 2025
The Evolving Landscape of Novel and Old Biomarkers in Localized High-Risk Prostate Cancer: State of the Art, Clinical Utility, and Limitations Toward Precision Oncology.
Exploring biomarkers in high-risk prostate cancer: 50-75% relapse rate post-treatment. Genomic profiling enhances precision oncology. ๐๐ฌ
August 28, 2025
Harnessing AI-driven reverse docking in drug discovery: a comprehensive review of opportunities, challenges, and emerging trends.
AI-driven reverse docking revolutionizes drug discovery, enhancing target identification and repurposing. Key insights from PubMed review. ๐๐ค
August 26, 2025
Deep learning-based feature discovery for decoding phenotypic plasticity in pediatric high-grade gliomas single-cell transcriptomics.
AI reveals critical genes in pediatric high-grade gliomas, enhancing precision therapy strategies for tumor plasticity and aggressiveness. ๐ง ๐ฌ
August 24, 2025
Predicting knee osteoarthritis progression using neural network with longitudinal MRI radiomics, and biochemical biomarkers: A modeling study.
Neural networks predict knee osteoarthritis progression with 0.913 AUC accuracy using MRI radiomics and biomarkers. ๐๐ฆต
August 22, 2025
Healthcare and cutting-edge technology: Advancements, challenges, and future prospects.
Exploring healthcare tech: AI, robotics, telemedicine, and blockchain transform patient care. ๐๐ค๐ป
August 19, 2025
Global research landscape of retinoblastoma biomarkers: a multidisciplinary bibliometric analysis based on multiple databases (2005-2025).
๐ Retinoblastoma biomarkers research shows steady growth, with China leading publications. Key hotspots include liquid biopsy and AI integration. ๐ฌ
August 16, 2025
Exploring fecal microbiota signatures associated with immune response and antibiotic impact in NSCLC: insights from metagenomic and machine learning approaches.
Fecal microbiota impacts lung cancer immunotherapy response. Key taxa identified: Bacteroides caccae, Prevotella copri. ๐๐ฆ
August 12, 2025
OncoTrace-TOO: Interpretable Machine Learning Framework for Cancer Tissue-of-Origin Identification Using Transcriptomic Signatures.
OncoTrace-TOO achieves 96.7% accuracy in cancer tissue identification, enhancing clinical diagnostics with interpretable molecular insights. ๐งฌ๐
August 11, 2025