Artificial intelligence applied to the ECG is expanding the clinical role of this widely available diagnostic tool beyond ...
Environmental sustainability in tertiary sports remains an emergent yet under-resourced domain, particularly in sub-Saharan ...
Introduction National essential medicines lists (NEMLs) guide medicine selection and procurement and are key tools for ...
Background Antimicrobial resistance (AMR) is an escalating global health crisis being worsened by climate change. Studies of ...
Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
Biopharmaceutical developers should introduce risk-based, phase-appropriate characterization strategies for quality control ...
A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...
Abstract: Speech emotion recognition (SER) systems are designed to enable machines to recognize emotional states in human speech during human-computer interactions, enhancing the interactive ...
Most large enterprises have built extensive, layered defenses—and most security teams are stretched thin running them. Given ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results