Distributed optimisation and algorithms form a vibrant field that addresses the challenge of coordinating multiple agents or nodes to collectively solve global optimisation problems. This domain ...

Integrating real-world data (RWD) from several clinical sites offers great opportunities to improve estimation with a more general population compared to analyses based on a single clinical site.

Stanford found itself in hot water last week after deploying a faulty Covid-19 vaccine distribution algorithm. But the fiasco offers a cautionary tale that extends far beyond Stanford’s own doors — ...

As the sheer logistical challenge of distributing vaccines to over 300 million Americans looms large, institutions are furiously developing algorithms to assist the rollout. The promise: that ...

Stanford created its own software system to prioritize which health care workers get the COVID-19 vaccine, but excluded residents working directly with patients. To deal with the massive logistical ...

Dynamic light scattering techniques are used to determine particle size distributions of protein therapeutic formulations. In DLS-based measurement, scattering intensity changes are associated across ...

At the intersection of neuroscience and artificial intelligence (AI) is an alternative approach to deep learning. Evolutionary algorithms (EA) are a subset of evolutionary computation—algorithms that ...