European Medical Journal

Machine Learning Shows Promise in Predicting RA Treatment Response

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Predictive Modeling: Techniques, Uses, and Key Takeaways

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Statistical method developed for single-molecule fluorescence analysis

An interdisciplinary team of University of Tennessee, Knoxville researchers recently published in Biophysical Journal on ...
InfoQ

Lessons Learned From Shipping AI-Powered Healthcare Products

Clara Matos discusses the journey of shipping AI-powered healthcare products at Sword Health. She explains how to implement ...
IEEE

EfficientSTNet: A Deep Learning Approach for Multi-Class DDoS Detection

Abstract: DDoS attacks are highly destructive, capable of targeting multiple devices simultaneously and posing significant threats to network systems. Therefore, it is increasingly essential to ...
Scientific Research Publishing

Applying Deep Learning Techniques for Automated Analysis and Interpretation of Financial Statements ()

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
Microsoft

Rethinking Machine Learning Collective Communication as a Multi Commodity Flow problem

Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...
Frontiers

The critical role of inflammation in osteoporosis prediction unveiled by a machine learning framework integrating multi-source data

Objective: Osteoporosis poses a major global public health challenge. The limitations of current diagnostic methods, primarily diagnostic delays in bone density testing, are compounded by the ...
eLife

Learning-Associated Flexibility of Cortical Taste Coding Is Impaired in Shank3 Knockout Mice

This valuable study provides solid evidence for deficits in aversive taste learning and taste coding in a mouse model of autism spectrum disorders. Specifically, the authors found that Shank3 knockout ...
Frontiers

Machine learning-based prediction of hemodynamically significant patent ductus arteriosus in preterm neonates: a pioneering insight

1 Department of Pediatrics, Division of Pediatric Cardiology, Izmir Democracy University Buca Seyfi Demirsoy Teaching and Research Hospital, Izmir, Türkiye 2 Department of Pediatrics, Division of ...