Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

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 ...

Keysight SOS is a powerful data management platform that facilitates AI-powered chip design workflows and AI accelerator ...

Raja Shankar, VP of machine learning at IQVIA, discusses which AI capabilities sponsors are most likely to adopt first to ...

AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...

The Department of Energy (DOE) has released specifications for 26 artificial intelligence (AI) challenges under its Genesis ...

In mid-2023, around the time Elon Musk rebranded Twitter as X but before he discontinued free academic access to the platform ...

This integration addresses the fundamental barriers that have historically limited formal verification adoption: complexity ...

The field of infectious disease epidemiology is continually challenged by the emergence and re-emergence of pathogens, which ...

Better understanding of the design, implementation and operation of these cyber-physical systems can enable optimized process ...

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