MIT Develops New Antibiotics Using AI to Combat Drug-Resistant Infections
MIT researchers have developed new antibiotics using AI to target drug-resistant bacteria like MRSA and gonorrhea. 🦠💊
Transformative Role of Artificial Intelligence in Drug Discovery and Translational Medicine: Innovations, Challenges, and Future Prospects.
AI revolutionizes drug discovery, reducing costs by 30% and development time by 50%. Ethical challenges persist. 🤖💊
AI Enhances RNA Vaccine and Therapy Development
AI aids in designing nanoparticles for RNA vaccine delivery, enhancing efficiency and potential treatments for various diseases. 🧬💉
Lung lobe segmentation: performance of open-source MOOSE, TotalSegmentator, and LungMask models compared to a local in-house model.
Lung lobe segmentation tools evaluated: TotalSegmentator excels, while data diversity enhances model accuracy. 📊🫁
Interaction of artificial intelligence, mental disorders, and diverse data modalities: Potential treatment management based on the “method-disease-data” axis.
AI in Mental Health: 3158 entities, 3248 relationships mapped for improved diagnosis & treatment. Challenges remain. 🤖🧠
Digital Health in Low-Resource Settings: Comprehensive Challenges and Opportunities With a Focus on Stroke Care.
Digital health in low-resource settings faces challenges but offers scalable solutions for stroke care. 📈🌍
Managing Cognitive Decline Through a Social Robot-Based Intervention: Protocol for the engAGE Proof of Concept and Randomized Controlled Trial.
Exploring the engAGE Project: Social Robots Combat Cognitive Decline in Older Adults 🤖📊
Transformer-based multimodal precision intervention model for enhancing diaphragm function in elderly patients.
AI model enhances diaphragm function in elderly patients, achieving 92.3% accuracy. Significant implications for critical care interventions. 🤖💡
Hybrid AI Strategy Enhances Mammogram Reading Efficiency
Hybrid AI strategy improves mammogram reading efficiency, reducing radiologist workload by 38% while maintaining detection rates. 📉🩺
Sepsis toxicity network reconstruction-Dynamic signaling and multi-organ injury: A review.
Sepsis involves complex signaling pathways leading to multi-organ injury. Key findings include oxidative stress and AI's role in prediction. 🧬⚠️