Artificial Intelligence and Machine Learning – Multimedia

This guide explores a five-step process to successfully integrate AI and ML into your workflows and futureproof your lab.

Researchers have developed a physical neural network that learns and remembers dynamically. The neural network, comprised of tiny nanowires, mimics the neural networks found in the brain.

In this infographic, we explore some of the potential AI holds for the future of laboratory research.

There has been significantly increased interest in novel protein sources as alternatives to animal products in the last few years. In this list, we will consider some of the popular and up and coming alternative protein food sources.

Biological and biomedical research used to be a field anchored down by the weight of time-consuming manual tasks. Involved and laborious wet-lab processes slowed output to a crawl.

But now, high-throughput technologies have ramped up the speed of science. In this infographic, we take a deep dive into how these technologies have changed the game.

According to the World Health Organization (WHO), cancer is a leading cause of death worldwide. Almost one in six deaths were attributable to cancer in 2020, and the incidence rate has been rising. Furthermore, recent estimates predict that as many as one in two people could develop a form of cancer in their lifetime.

This video shows how researchers trained AI using TikTok dances and the Mannequin Challenge.

Whether you are working in cell line development, 3D biology, drug screening —or a combination of the three — technologies that maximize throughput and reproducibility can free up your time and give you greater insights.

This eBook is an essential read for anyone interested in the evolution of protein engineering and the impact of synthetic DNA on the optimization of protein discovery.

Download this listicle to learn about developments in immunotherapy, AI/machine learning and cancer vaccines.