Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...

Abstract: This study focuses on the model reference adaptive tracking control problem for uncertain switched systems using a dynamic event-triggered approach. Compared with the existing studies, the ...

Something to look forward to: The reports that Nvidia was to unveil DLSS 4.5 with 6x dynamic frame generation at CES have proved accurate. The company says that the update to its suite of AI-powered ...

Abstract: This article proposes an expectation maximization sample transfer identification (EM-STI) algorithm to address the parameter identification problem in dynamic systems with nonideal data.

For decades, data centers were designed with permanence in mind: fixed plans, rigid shapes and predictable life cycles. Physical constraints of legacy architectures made them inherently static. But in ...

As an emerging 3D cell culture system, organoid technology has demonstrated substantial potential in basic research and translational medicine by recapitulating in vivo organ structures and functions.

September 26, 2023, Paper: "his Perspective evaluates recent progress in modeling nature–society systems to inform sustainable development. We argue that recent work has begun to address longstanding ...

Select an option below to continue reading this premium story. Already a Honolulu Star-Advertiser subscriber? Log in now to continue reading. Mink is described as the “mother of Title IX who stood up ...

Phase 2 trial of ozuriftamab vedotin (BA3021), a conditionally binding ROR2-ADC, in patients with heavily pretreated squamous cell carcinoma of the head and neck. Mechanisms of resistance to anti-PD1 ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now After three hours at Google’s I/O 2025 ...

Agile project management started as a way to fix what was broken in software development. In the early 2000s, teams were overwhelmed by deadlines and documents and struggled to deliver. So, 17 ...