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. 📊💉
October 9, 2025
Follow us
latest articles
Discover the newest research about AI innovations in 🤖 Machine Learning.
New avenues in childhood vasculitis.
Exploring childhood vasculitis: recent advances in diagnosis, treatment, and future directions. 📊🩺
October 8, 2025
Artificial Intelligence Applications in Haemophilia Care: A Narrative Review of the Literature.
AI in Haemophilia Care: Enhancing Diagnosis & Treatment Precision 🤖🩸
October 8, 2025
Automated data collection in cancer care: State of play among registries in the United Kingdom and Europe.
Automated coding in cancer registries: 12.8% use, 73.3% for pathology data, 87% efficiency reported. 📊💻
October 7, 2025
A Trust-Aware Architecture for Personalized Digital Health: Integrating Blueprint Personas and Ontology-Based Reasoning.
Exploring a Trust-Aware Architecture for Personalized Digital Health: Key Insights from Recent Research 🏥📊
October 6, 2025
How can artificial intelligence transform the training of medical students and physicians?
AI in medical training: 2025 insights reveal potential, challenges, and ethical concerns. 🤖📚
October 6, 2025
Application of DeepSeek-assisted problem-based learning in hematology residency training.
DeepSeek enhances hematology residency training, improving clinical competence and diagnostic reasoning. 📈🩸 Significant exam score increases noted!
October 6, 2025
A Scalable Multi-Layer AI Adoption Model to Support the Comprehensive Goals of 6P Medicine.
Exploring a scalable AI model for 6P medicine: enhancing predictive, preventive, and personalized healthcare. 🤖📊
October 5, 2025
Development and evaluation of a machine learning prediction model for short-term mortality in patients with diabetes or hyperglycemia at emergency department admission.
Machine learning predicts 30-day mortality in diabetes patients at ED with 86-97% sensitivity. 📊⚕️
October 5, 2025
Automated assessment and detection of third molar and inferior alveolar nerve relations using UNet and transfer learning models.
Automated detection of third molar and nerve relations shows 97% accuracy using UNet. DenseNet121 achieves 84% accuracy. 🦷📊
October 5, 2025