Blog

From macroscopic clearance to molecular eradication: paradigm shift and future perspectives in the detecting of residual lesions after transurethral resection of bladder tumors.

From macroscopic clearance to molecular eradication: paradigm shift and future perspectives in the detecting of residual lesions after transurethral resection of bladder tumors.

Revolutionary advances in bladder cancer detection: molecular assessments enhance postoperative management and reduce recurrence rates. 🔬📈

November 29, 2025

Evolving HPV diagnostics: current practice and future frontiers.

😷 Infectious Diseases 🤖 Machine Learning 🌍 Public Health

Evolving HPV diagnostics: current practice and future frontiers.

Evolving HPV diagnostics: key advancements in detection methods and their impact on cervical cancer screening. 📊🔬

November 28, 2025

Brain benefits of deep learning-based noise management in experienced hearing aid users using functional near infrared spectroscopy.

👂 Audiology 🧠 Brain-Computer Interfaces 🤖 Machine Learning

Brain benefits of deep learning-based noise management in experienced hearing aid users using functional near infrared spectroscopy.

Deep learning enhances hearing aids! 🎧 Study shows improved listening accuracy & reduced brain effort in users. 🧠✨

November 28, 2025

Artificial Intelligence for Predicting Lung Immune Responses to Viral Infections: From Mechanistic Insights to Clinical Applications.

🤖 Machine Learning 🦠 Microbiology 👤 Personalized Medicine 🌍 Public Health 💉 Vaccination

Artificial Intelligence for Predicting Lung Immune Responses to Viral Infections: From Mechanistic Insights to Clinical Applications.

AI predicts lung immune responses to viral infections, enhancing patient care and treatment strategies. 🤖🌬️

November 27, 2025

The global epidemiology, risk factors, and mortality prediction of nocardiosis: an easily missed opportunistic infection.

🤖 Machine Learning 🦠 Microbiology 🌍 Public Health

The global epidemiology, risk factors, and mortality prediction of nocardiosis: an easily missed opportunistic infection.

Nocardiosis: 9,750 cases analyzed; 19.8% mortality, 31.7% for disseminated infections. Machine learning predicts risks effectively. 📊🦠

November 27, 2025

AI and Biotechnology to Combat Aflatoxins: Future Directions for Modern Technologies in Reducing Aflatoxin Risk.

⚖️ AI Ethics 🤖 Machine Learning 🥗 Nutrition

AI and Biotechnology to Combat Aflatoxins: Future Directions for Modern Technologies in Reducing Aflatoxin Risk.

AI and biotechnology offer innovative solutions to reduce aflatoxin risks in food safety. 🌾🤖

November 27, 2025

A novel approach to depression detection using POV glasses and machine learning for multimodal analysis.

🖼️ Computer Vision 🤖 Machine Learning 🧠 Mental Health

A novel approach to depression detection using POV glasses and machine learning for multimodal analysis.

Revolutionary POV Glasses & Machine Learning Detect Depression: 84.7% Accuracy, 90.9% Sensitivity! 🤖👓

November 26, 2025

Data augmentation alters feature importance in XGBoost for CVD prediction.

🫀 Cardiology 🦠 Epidemiology 🤖 Machine Learning

Data augmentation alters feature importance in XGBoost for CVD prediction.

Data augmentation reshapes feature importance in CVD prediction models. Key findings: SMOTE model accuracy 1.0! 📊💔

November 26, 2025

Deep Learning Discrimination for BCI Implementation Using 3D Convolutional Neural Network and EEG Topographic Maps.

🧠 Brain-Computer Interfaces 🤖 Machine Learning

Deep Learning Discrimination for BCI Implementation Using 3D Convolutional Neural Network and EEG Topographic Maps.

Deep Learning Enhances BCI Accuracy: 3D CNNs & EEG Maps Show Promise for Motor Impairment Rehabilitation 🧠💻

November 26, 2025

Interpretable Machine Learning Models for Analyzing Determinants Affecting the Use of mHealth Apps Among Family Caregivers of Patients With Stroke in Chinese Communities: Cross-Sectional Survey Study.

🤖 Machine Learning 📱 Mobile Health 🌍 Public Health

Interpretable Machine Learning Models for Analyzing Determinants Affecting the Use of mHealth Apps Among Family Caregivers of Patients With Stroke in Chinese Communities: Cross-Sectional Survey Study.

Exploring mHealth app usage among stroke caregivers: 57.2% adoption, key factors include education, age, and motivation. 📱🧠

November 25, 2025

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From macroscopic clearance to molecular eradication: paradigm shift and future perspectives in the detecting of residual lesions after transurethral resection of bladder tumors.

Evolving HPV diagnostics: current practice and future frontiers.

Brain benefits of deep learning-based noise management in experienced hearing aid users using functional near infrared spectroscopy.

Artificial Intelligence for Predicting Lung Immune Responses to Viral Infections: From Mechanistic Insights to Clinical Applications.

The global epidemiology, risk factors, and mortality prediction of nocardiosis: an easily missed opportunistic infection.

AI and Biotechnology to Combat Aflatoxins: Future Directions for Modern Technologies in Reducing Aflatoxin Risk.

A novel approach to depression detection using POV glasses and machine learning for multimodal analysis.

Data augmentation alters feature importance in XGBoost for CVD prediction.

Deep Learning Discrimination for BCI Implementation Using 3D Convolutional Neural Network and EEG Topographic Maps.

Interpretable Machine Learning Models for Analyzing Determinants Affecting the Use of mHealth Apps Among Family Caregivers of Patients With Stroke in Chinese Communities: Cross-Sectional Survey Study.

The use of digital gamification, extended reality, artificial intelligence, and integrated digital learning tools in palliative care education of undergraduate nurses: A systematic review.

Polyphenols as Modulators of Macrophage Polarization: Mechanisms and Therapeutic Potential in Chronic Inflammatory Diseases.

Computational biology for cell-free systems.

Advances in Fragment-based Drug Design: Lessons and Innovations from the Post-COVID Drug Discovery Landscape.

Human-AI interaction and collaboration in radiology: from conceptual frameworks to responsible implementation.

An Artificial Intelligence-Driven Platform for Practice Question Generation.

Sonia Patel to Depart as NHS England Chief Technology Officer

Recent advances in reticular frameworks and allied composite materials for ultrasensitive optical detection of biogenic and volatile amines in food spoilage monitoring.

Prediction of the displacements of the pile tops and ground surface around piles based on machine learning algorithms.

NHS Wales App Enhances Patient Access to Waiting List Information