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

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...

Wayve has launched GAIA-3, a generative foundation model for stress testing autonomous driving models. Aniruddha Kembhavi, Director of Science Strategy at Wayve, explains how this could advance ...

Autonomous laboratories and AI-driven experimentation are increasingly transforming how scientific discovery is conducted in chemistry, materials science, ...

A new study published in Psychology of Popular Media suggests that human romantic attraction to fictional characters may ...

NTN announced that it has integrated machine learning technology into its automated calculation system used for designing 3rd‑generation hub bearings, marking the first use of this approach in the ...

Dr Dale is a physical oceanographer and studies the currents and the stratification; the salinity, where the low salinity water is sitting and how thick it is. So he is interested in how the lice ...

The guidance encourages the use of Bayesian statistics in drug trials. Instead of starting from scratch and only adding new ...

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

Evommune surged 70% after EVO301's Phase 2a data showed rapid, significant EASI reductions in moderate-to-severe atopic ...

Background Drug exposure has been reported in association with Takotsubo syndrome, but the breadth and relative strength of ...

How an excessive focus on methods has distracted attention from the more fundamental challenge of building rigor and learning ...