Precision nanomedicine for anxiety: challenges, opportunities, and future directions in targeted drug delivery.
Precision Nanomedicine for Anxiety: Exploring Nanoparticle Drug Delivery Systems ๐ง ๐
October 18, 2025
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Discover the newest research about AI innovations in ๐ค Personalized Medicine.
AI in Adipose Imaging: Revolutionizing Visceral Adipose Tissue, Ectopic Fat, and Cardiovascular Risk Assessment.
AI Enhances Cardiovascular Risk Assessment via Visceral Fat Imaging ๐๐ค
October 11, 2025
The Role of Immune Checkpoint Inhibitors in Cancer Therapy: Mechanism and Therapeutic Advances.
Immune checkpoint inhibitors revolutionize cancer therapy, yet challenges like efficacy variability and adverse events persist. ๐๐
October 9, 2025
New avenues in childhood vasculitis.
Exploring childhood vasculitis: recent advances in diagnosis, treatment, and future directions. ๐๐ฉบ
October 8, 2025
Development of Machine Learning Systems to Predict Cancer-Related Symptoms With Validation Across a Health Care System.
Machine learning predicts cancer symptoms effectively, with AUROCs from 0.66 to 0.73 across 82 centers. ๐๐ค
September 26, 2025
AI Model Enhances T-cell Immunotherapy and Vaccine Development
AI enhances T-cell immunotherapy and vaccine development, improving predictions of T cell responses. ๐ค๐
September 19, 2025
Artificial Intelligence in Cardiovascular Health: Insights into Post-COVID Public Health Challenges.
AI transforms cardiovascular health post-COVID, enhancing risk prediction and real-time monitoring. Key for public health strategies! ๐ซ๐
September 17, 2025
New Deep Learning Tool Enhances Precision in Cancer Treatment
New deep learning tool, Flexynesis, improves cancer treatment precision by analyzing multi-omics data and medical images. ๐งฌ๐ป
September 14, 2025
Recent advancements in artificial intelligence-powered cancer prediction from oral microbiome.
AI and Oral Microbiome: Transforming Early Detection of Oral Cancer ๐ฆท๐ค
September 11, 2025
Predicting mortality dynamics in cancer patients: A machine learning approach to pre-death events.
Machine learning predicts cancer patient mortality dynamics, revealing three clinical patterns and key lab parameters. ๐๐ก
September 10, 2025