Artificial Intelligence and Machine Learning – Multimedia

Read this listicle to discover five inspiring neuroscientists and why their influence on other researchers will likely endure well into the future of science.

You might think you need a brain to be able to sleep, but organisms with super simple neural networks can still "sleep" sort of like we do. So, if these organisms can sleep too, then what is sleep anyway?

Complex 3D biological models such as organoids and patient-derived spheroids are gaining popularity in many biomedical research areas because they more closely recapitulate in vivo tissues.

In this episode, Lucy Lawrence interviews Greg Clark, Senior Software Product Manager at Thermo Fisher Scientific.

Being able to accurately predict drug–target interactions (DTIs) and drug–target binding affinity (DTBA) is crucial in early drug development and during drug repurposing endeavors. Here, we look at some recent research developments in this space.

Stem cells are increasingly being used in new and innovative ways to improve the drug discovery process – spanning academia, biotech start-ups and large pharmaceutical companies.

Over recent years, single-cell sequencing has become a method ubiquitously used across several different areas of biological research. Why have so many researchers so rapidly adopted this relatively novel set of techniques and how can they be applied?

In this episode we will be speaking with Professor Bissan Al-Lazikani, from the Institute of Cancer Research about how data science and machine learning approaches are used for cancer drug discovery and treatment adaptation.

This listicle highlights five changes spurred by COVID-19 that will continue to transform modern laboratories in 2021 and beyond.

This listicle addresses advances in dementia research over 2020, highlighting the strides science has made in diagnosis and treatment development.