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Kate Robinson

Assistant Editor

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Kate graduated from Sheffield Hallam University with a bachelor's degree in biomedical sciences in 2020. During her studies she developed a passion for science communication and after graduating, began a science blog in order to continue writing about trending science news and topics of interest. She joined the editorial team at Technology Networks in 2021. In her role as assistant editor Kate supports the publication’s in-house writers, produces scientific content across all communities and works closely with the managing editor to help coordinate commissioned pieces.


Latest Content
Cancer seen in the lungs of a human torso
Industry Insight

Addressing One of the Most Common Dilemmas Faced by Oncologists

Technology Networks spoke to Dr. Ofer Sharon, CEO of OncoHost, to learn about the challenges in non-small cell lung cancer treatment and how proteomics-based analysis could enable personalized cancer treatments.
Small molecule closeup
Industry Insight

Confident Metabolite Identification for Meaningful Results in Multiomics Analyses

In this interview, Technology Networks spoke to Heiko Neuweger, director of Bioinformatics Life Science Mass Spectrometry Software R&D at Bruker, to learn about the importance of target compound annotation and identification, the advantages of integrating collision cross section (CCS) information into workflows and the benefits of CCS-Predict Pro.
Floating cancer cells.
Article

Four New AML Studies Funded by Leukaemia UK

Leukaemia UK recently announced that it will channel £600,000 into four new AML research projects. Technology Networks spoke to Kate Nash, research communications manager at Leukaemia UK, to learn more about the innovative research projects aiming to improve the treatment of AML.
Silhouette of a human surrounded by health symbols.
Article

The Future of Digital Health With Professor Michael Snyder

Professor Michael Snyder performed the first longitudinal detailed integrative personal omics profile and used this to assess disease risk and monitor disease states. Technology Networks invited Snyder to an Ask Me Anything session to answer your questions about the future of digital health.

Sweetener on a metal spoon.
News

Could Artificial Sweeteners Have a Future in Autoimmunity Treatment?

A study raises the possibility that a common sweetener could suppress T-cell activation in humans, leading to potential therapeutic applications for managing diseases where excessive T-cell activation is problematic.
Illustration of a heart being bioprinted
Industry Insight

Human Tissue-Based Materials for 3D Bioprinting

Technology Networks spoke to Dr. Jasper Van Hoorick to learn more about the future of bioprinting, the benefits of animal-free bioinks and the development of human tissue-based bioinks.
Human silhouette with internal organs visible.
Article

How Body-on-a-Chip Tech Is Transforming Research With Professor Donald Ingber

Professor Donald Ingber is responsible for developing human organ chips, which provide researchers with a window into inter-organ physiology and the body’s response to drugs, without animal testing. Technology Networks' invited Ingber to an Ask Me Anything session to answer your questions about this incredible technology.
Four women exercise in a room with large windows.
News

Body Image Type Linked to Diet and Exercise Patterns

A new study based on survey data has identified four types of women with different levels of positive and negative body image and has linked each to different diet and exercise patterns.
A woman using a smartphone.
News

No Link Found Between Facebook and Negative Wellbeing

Contrary to popular belief, there is no evidence that the widespread adoption of Facebook is linked to psychological harm, according to independent research published in Royal Society Open Science.
Floating cells with transparent membranes.
Industry Insight

Unlocking the “Morpholome” With AI-Powered Imaging

Technology Networks had the pleasure of speaking with Dr. Maddison Masaeli, co-founder and chief executive officer at Deepcell to learn about the REM-I platform, a single-cell analysis tool that utilizes AI-powered imaging to magnify insights into a cell’s phenotype and function.
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