Computer scientists at Caltech have designed DNA molecules that can carry out reprogrammable computations, for the first time creating so-called algorithmic self-assembly in which the same "hardware" can be configured to run different "software."

Research carried out at SISSA in Trieste (Italy) and recently published in The Journal of Neuroscience confirms the similarities between rats, primates and artificial vision systems, a correspondence that paves the way to promising developments in the AI field.

Society relies on networks connected to other networks at scales. Understanding how connected networks behave and how breakdowns can be identified, prevented or repaired involves mathematics, engineering and physics. In a new paper, researchers show how complicated and surprising behavior can emerge in a very simple experimental network.

From picking out cancerous tissue areas during diagnosis, to uncovering novel biomarkers of early detection, mass spectrometry has become an indispensable analytical technique in cancer research.

We recently spoke with Jessica Wade, PhD, a physicist at Imperial College London to learn more about her extraordinary efforts to raise the profile of female scientists and other underrepresented groups in science.

Originally developed as a platform for an over-the-counter pregnancy test, lateral flow tests have a lot more to offer. This article dives into how a digital spin and the integration of data analytics are expected to help lateral flow tests meet the changing demands of data-driven healthcare.

Given the clinical success that antibodies (formerly known as “magic bullets”) have facilitated, the drug discovery field continues to search for new therapeutic candidates. This article highlights several techniques used in the process, and touches on current trends driving the field.

The recent Supercomputing 2018 conference highlighted clear examples of the potential of cloud-based High Performance Computing. In this article, we explore some of the projects driving the field forward.

Rapid and accurate detection of foodborne pathogens is essential to prevent foodborne illnesses and to mitigate the associated economic losses. We take a look at some of the technological advances that are helping to make this happen.