Here are the latest breakthroughs in health & AI (December 08, 2025 week)

🔹 AI-Driven Structural Elucidation of the Bacteriophage KP32: Decoding Its Molecular Arsenal Against Klebsiella Pneumoniae.

AI Reveals KP32 Phage Structure: 500+ Proteins Targeting Klebsiella Pneumoniae! 🦠🔬

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🔹 Non-small cell lung cancer subtype classification based on cross-scale multi-instance learning.

Revolutionary model achieves 97% accuracy in classifying lung cancer subtypes! 📊🔬 Robust across diverse datasets!

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🔹 A Laboratory-Based Federated Learning Deployment on Real Devices for ECG-Based Clinical Decision Support Systems.

Federated Learning enhances ECG data privacy in clinical decision support, achieving 93% F1 score on real IoT devices. 📊💡

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🔹 The cost of explainability in artificial intelligence-enhanced electrocardiogram models.

AI-ECG models: Balancing performance and explainability. 📊🔍 Study reveals trade-offs in interpretability and diagnostic accuracy.

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🔹 The global epidemiology of acute kidney injury: challenges and opportunities.

Global AKI: 2 million deaths annually, rising chronic kidney disease risk, and urgent need for equitable care. 🌍💔

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🔹 A combined machine learning and finite element modelling tool for the surgical planning of craniosynostosis correction.

Innovative tool enhances craniosynostosis surgery planning with 0.95 accuracy! 🤖🧠 Reduces radiation exposure, improves outcomes.

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🔹 Concordance among experts in assessing apical mucosal preservation during holmium laser enucleation of the prostate (HoLEP): implications for artificial intelligence model development.

Expert consensus on apical mucosal preservation in HoLEP shows 85% agreement, crucial for AI model accuracy. 🤖🔍

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🔹 Enhancing home rehabilitation through AI-driven virtual assistants: a narrative review.

AI-driven virtual physiotherapy assistants enhance home rehabilitation, improving adherence and outcomes. Key challenges include sensor accuracy and engagement. 🤖🏡

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🔹 Quantitative Imaging for Interstitial Lung Disease.

Quantitative imaging enhances ILD diagnosis and treatment, utilizing CT and emerging MRI techniques. 📊🫁

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🔹 Are we entering a new era of artificial intelligence (AI)-supported decision-making in dentistry?

Exploring AI’s role in dentistry: potential impacts on decision-making and patient outcomes. 🤖🦷

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🔹 Foundation model based prediction of lung cancer survival using temporal changes in dual time point CT scans.

Lung cancer survival prediction enhanced by dual time point CT scans. 📊 Study shows improved accuracy using foundation models. 🩺

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🔹 Maternal lipidomic signatures of preterm and small-for-gestational-age newborn infants in low- and middle-income countries.

Maternal lipid levels impact preterm and SGA births. Key findings: triglyceride imbalances, AUC 0.69 for preterm prediction. 📊👶

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🔹 Immunological risk factors for recurrent implantation failure using a deep learning model: a multicenter retrospective cohort study.

Deep learning predicts live births in recurrent implantation failure with 87.4% accuracy. Key factors: age, Th1/Th2 ratio, BMI. 📊🤰

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🔹 Evaluating EEG-to-text models through noise-based performance analysis.

EEG-to-text models show potential but may memorize patterns instead of learning. Rigorous evaluation needed! 🧠📊

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🔹 Mapping war trauma: A machine learning approach to predict mental health impacts in Ukraine.

Machine learning predicts mental health impacts in Ukraine’s war, revealing key drivers of PTSD and anxiety. 📊🧠

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🔹 Identifying Key Variances in Clinical Pathways Associated With Prolonged Hospital Stays Using Machine Learning and ePath Real-World Data: Model Development and Validation Study.

Machine learning identifies clinical variances linked to prolonged hospital stays, enhancing patient management. 📊🏥

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🔹 Radiographic diagnosis of periodontitis using artificial intelligence: a meta-analysis comparing binary and staging classifications across imaging modalities.

AI in Periodontitis Diagnosis: Sensitivity 87.2% 📊, Accuracy 88.9% 🦷—A Meta-Analysis Review of Imaging Modalities.

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🔹 EndoCompass Project: Research Roadmap for Thyroid Endocrinology.

EndoCompass Project: Strategic Research Priorities in Thyroid Endocrinology 🧠📊. Key findings highlight gaps in funding and critical areas for investigation.

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That’s a wrap for this week’s digest! Stay tuned for more health & AI updates. 🚀💡

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