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 ...
The Romanian subsidiary of the Spanish GMV Group has fully coordinated the first European Space Agency (ESA) mission led by a ...
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: Orthogonal time frequency space (OTFS) modulation is expected to address the performance degradation of orthogonal frequency division multiplexing (OFDM) modulated signals, particularly due ...
After several examples of undisclosed alterations in reagent suppliers’ antibody catalogues surfaced, researchers call for ...
Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...
As drug developers pursue increasingly complex therapies, traditional bioanalytical approaches are being put to the test. How is the field adapting to meet these new demands?
Some results have been hidden because they may be inaccessible to you
Show inaccessible results