Key Takeaways -   To understand data science, one needs a lot of technical expertise along with business understanding. Generative AI, MLOps, and clou ...

In the late 2000s, “mobile-first” emerged as a design discipline. The argument was a single sentence: don’t design for the big screen and squeeze it down. Start with the small screen, the harder ...

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in fusion reactors, but the ultra-high heat can damage its microscopic ...

Pediatric varicella encephalitis is a rare but serious complication of varicella, which has a significant impact on patient prognosis. Early clinical diagnosis is still challenging due to atypical ...

Omalizumab effectively improves quality of life in patients with moderate-to-severe perennial allergic rhinitis (PAR) uncontrolled by conventional medications. However, the duration of its efficacy ...

Deploying a new machine learning model to production is one of the most critical stages of the ML lifecycle. Even if a model performs well on validation and test datasets, directly replacing the ...

Timely recognition of oral anticoagulant use is critical in acute stroke but is often hampered by impaired consciousness and unavailable medication history. We investigated whether routinely available ...

In this tutorial, we build a complete, production-grade ML experimentation and deployment workflow using MLflow. We start by launching a dedicated MLflow Tracking Server with a structured backend and ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...

Abstract: In recent years, the practical application of machine learning technology has rapidly progressed, accelerating its adoption across various fields. In this context, studies into the effective ...