The Analytical Scientist
This initial editorial outlines the goals and aspirations of the publication and its website.
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Articles
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1 week ago |
theanalyticalscientist.com | Helen Bristow
The prognostic power of spatial proteomics has given rise to a new tool for predicting the recurrence of hepatocellular carcinoma (HCC) after resection surgery. The system, described in , uses AI to interrogate the distribution of natural killer (NK) cells in the tumor microenvironment and identify high-risk patients. Here, corresponding author Joe Yeong shares details of the study, the prognostic scoring system that was developed, and its potential impact for patients with liver cancer.
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3 weeks ago |
theanalyticalscientist.com | James Strachan
Is the Atomic Spectra Database Under Threat? There was more news this week from the US of the Trump administration’s cost-cutting plans – this time affecting the spectroscopy community; specifically, the US Institute of Standards and Technology (NIST)’s Atomic Spectroscopy Group, according to an email sent to dozens of outside scientists, reports Wired.
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3 weeks ago |
theanalyticalscientist.com | James Strachan
With Laurianne ParavisiniI was originally trained as an analytical chemist. I started my studies in France in analytical chemistry, and then I transitioned into the world of odors and flavors. During an internship, I worked on odor emissions from car seats, which is important for consumer purchases – what your new car smells like. It also has health implications regarding the compounds being released.
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1 month ago |
theanalyticalscientist.com | James Strachan
Each year, we ask the individuals on our Power List about the biggest challenges facing analytical science; raising the profile of the field, attracting talent, and data overload often come up. In 2025, add to the list economic and political turmoil – and especially uncertainty around research funding – which present their own serious difficulties while also amplifying those existing challenges. The future flourishing of the field is more uncertain than ever.
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1 month ago |
theanalyticalscientist.com | Jessica Allerton
A novel high-throughput nanoparticle detection method, Deep Nanometry (DNM), has demonstrated high sensitivity and scalability in detecting rare extracellular vesicles (EVs) without purification – showcasing its potential in advancing early cancer diagnostics.
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