Both the UK and US Governments have pledged to end research using animals, but is such a goal realistic? And how might it change medical research? Talha Burki reports.

Abstract: Context: Ensemble methods are powerful machine learning algorithms that combine multiple models to enhance prediction capabilities and reduce generalization errors. However, their potential ...

The days of large blanket media buys are fading. Always-on testing reduces waste by directing spend toward what is proven to work. AI-powered automation and personalization are key drivers of ...

Digital twins and prognostic models deliver detailed insights into a battery’s behaviour and lifespan, and machine learning..

At the National Training Center, Black Jack Soldiers were reminded of a fundamental truth of modern warfare: the plan rarely ...

As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, autoimmune diseases, and many other conditions. With the market for these ...

In the pursuit of solutions to complex global challenges including disease, energy demands, and climate change, scientific ...

Breakthrough eye research may transform Alzheimer's detection. Study links bacterial infection in retinas to cognitive ...

Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility ...

Abstract: Embedded RC oscillators are widely used as precision reference clock generators in modern system-on-chip (SoC) designs. The lifetime frequency performance of the RC oscillators is impacted ...

McGill researchers have developed a diagnostic system capable of identifying bacteria—and determining which antibiotics can ...

An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new battery concepts. With information from just 50 cycles, the tool—developed at ...