Clinical Microbiology: where do we stand?
Clinical microbiology has evolved significantly, influenced by globalization and new technologies. Key advancements include molecular biology and AI. 🦠🔬
New AI Model Predicts Cancer Immunotherapy Success Using Blood Tests
New AI model SCORPIO predicts cancer immunotherapy success using routine blood tests. This tool aims to improve patient treatment decisions. 🩸💡
Enhancing Small-for-Gestational-Age Prediction: Multi-Country Validation of Nuchal Thickness, Estimated Fetal Weight, and Machine Learning Models.
New research highlights the role of nuchal thickness in predicting small-for-gestational-age infants. 📊🤰 Machine learning models show promise.
Insights from Children’s National Hospital’s Chief AI Officer
Children's National Hospital's Chief AI Officer discusses her role in integrating AI for improved patient care and operational efficiency. 🤖🏥
Early Identification of Language Disorders Using Natural Language Processing and Machine Learning: Challenges and Emerging Approaches.
Exploring AI in language disorder detection 🤖📚: Recent advances enhance assessment efficiency for children’s language disorders.
CQC Faces Backlog of 500 Inspection Reports Due to IT Issues
CQC reports backlog reaches 500 due to IT issues. Urgent actions are being taken to resolve delays. 🏥💻
Performance of Artificial Intelligence Chatbots on Ultrasound Examinations: Cross-Sectional Comparative Analysis.
AI chatbots show varied performance in ultrasound inquiries. 🤖📊 ERNIE Bot outperforms ChatGPT, influenced by language and question type.
The Icarian flight of antibody-drug conjugates: target selection amidst complexity and tackling adverse impacts.
Antibody-drug conjugates (ADCs) show promise in cancer therapy but face challenges like toxicity and resistance. 🧬💉
Robeauté Secures £23 Million for Development of Microrobots in Neurosurgery
Robeauté raises £23 million for microrobots in neurosurgery. These tiny robots aim to improve brain treatment and monitoring. 🧠🤖
Evaluating the Diagnostic Accuracy and Challenges of the Two-Week Wait Referral Pathway for Skin Cancers in Primary Care.
Skin cancer diagnosis relies on timely referrals. A recent study shows only 13% accuracy in the two-week pathway. 🩺📉