However, traditional clinical trial designs are often ill-suited for rare disease research with common challenges including ...

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

Artificial intelligence has moved from pilot projects to a central role in many life sciences strategies. What began as a set ...

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...

The development of next-generation metallic materials is entering a transformative era driven by data-driven methodologies. Traditional trial-and-error ...

A new ultra-fast monitoring system reveals that quantum computer qubits can change from stable to unstable in mere milliseconds.

Researchers at the University of British Columbia Okanagan have published a mathematical argument that, they say, rules out ...

Efforts to stop declines in vertebrate wildlife populations should aim to address multiple threats simultaneously, rather than focusing on pressures one by one, a new study led by the University of ...

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

For decades, scientists have searched the skies for signs of extraterrestrial technology. A study from EPFL asks a sharp question: if alien signals have already reached Earth without us noticing, what ...

The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...