Latest Listicles

In honor of this day, we asked some of our staff back at Technology Networks HQ what they would choose to see celebrated on a global level.

Perlego provided us with a recent list of the top 10 books read by scientists, and it's compelling. From the legacy of autism, to deciphering the secrets of the ribosome, the list covers a wide variety of hot scientific topics.

Microbes have an important role in maintaining our own health and that of our environment. Therefore, the more information we can uncover, the better armed researchers are to prevent and treat disease, protect and restore the environment and harness the key beneficial properties microbes offer. This list looks at recent advances that have enabled researchers to better understand microbial communities at the genomic level.

In this list, discover more about exciting neurotechnologies, including human cyborgs in smart homes, programmable “animals” and bioresorbable electronic medicine.

This list features some of our favorite coverage of personalized medicine in 2019 published by Technology Networks.

Each year, Nobel Prizes are awarded to people who have made a significant contribution in their field; this list focuses on the Nobel Prizes awarded between 2010 and 2019 to those “who made the most important discovery within the domain of physiology or medicine”.

We asked you to explain your profession badly – here are some of our favorite responses.

We have seen some amazing scientific breakthroughs in 2019.
This list highlights some of our favorites.

Electronic lab notebooks (ELNs) are digital replacements for paper notebooks. But whilst many digital technologies have swiftly replaced their analogue counterparts, ELN adoption remains stubbornly low. In this article, we look at five reasons why ELNs can improve your life as a researcher and the quality of your research.

The Evolution of Proteomics featured a series of interviews with experts in the field of proteomics research. We asked each of the experts what, in their opinion, are the greatest challenges currently existing in proteomics, and how can we look to overcome them?