New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...

Finely dispersed particulate matter with a diameter of ≤2.5 μm (PM2.5) poses a significant health- and climate-risk, yet ...

If you’ve ever started an antidepressant and spent weeks waiting to see if it helps, you know the hardest part is the guesswork.

Hybrid human–AI models emerge as the most viable approach. In such systems, AI handles low-risk, high-frequency tasks such as ...

Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...

Brooks Consulting's Chuck Brooks, a GovCon Expert, explains how AI and quantum technologies are becoming mission-critical ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

Read more about Artificial intelligence could change future of antimicrobial drug discovery: Here's why on Devdiscourse ...

Digital twins revolutionize drug discovery by integrating AI and biological data, enhancing prediction, trial design, and ...

Kathiresan Jayabalan is a fintech innovator and researcher who strengthens global financial infrastructure by integrating neuro-symbolic AI and cloud-native automation to enhance fraud detection and ...

This proteomics-driven approach to drug discovery improves target validation and uncovers insights into undruggable proteins, ...