False confidence in surface-level privacy tools creates a dangerous blind spot, where founders assume data is protected while ...

The move from read-only tracking to closed-loop intervention is not a marketing tweak. It changes what a wearable is for.

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...

In many public healthcare systems, particularly in resource-constrained environments, time-series forecasting models offer a practical, interpretable, and evidence-based alternative (Stacey et al., ...

While AI holds the promise of radically transforming KM, human oversight takes on intensified responsibilities for ensuring the knowledge provided is accurate, timely, and relevant as well as guarding ...

Explore Spotify Technology (NYSE:SPOT), streaming platform developments, audio services, content integrity measures, ...

The Fitbit Air is built for people who want health tracking without the look of a fitness tracker. Here's how it stacked up ...

Artificial intelligence (AI) in research histopathology is turning whole-slide images of preclinical tissue into structured, quantitative data rather than a pathologist's subjective impression alone.

This summer, once again, the world is breaking temperature records. Cities across continents are experiencing unprecedented ...

When AI-driven detection underperforms, the instinct is to tune the algorithm, retrain the model or push the vendor for a ...

Objective While guidelines advocate renin-angiotensin system inhibitors (RASi) for renoprotection in lupus nephritis (LN), ...

Abstract: In this paper, we study the robust consensus problem for a group of linear discrete-time or continuous-time agents to coordinate over an uncertain communication network, which is to achieve ...