AI Research
‘Forever chemical’ TFA found in all but one of tested UK rivers
A chemical that scientists worry might have an impact on human reproduction has been found in rivers across the UK.
Researchers from York University analysed samples from 32 rivers in all the UK’s 4 nations and found traces of trifluoroacetic acid (TFA) at 98% of the test locations.
TFA is what’s known as a “forever chemical” which means that it breaks down extremely slowly in nature, and so accumulates over time.
As with other “forever chemicals”, also known as PFAS, just how much a threat to human health and at what concentrations is still being researched.
But scientists in Germany say having looked at the impact of TFA on animals they want it to be classed as toxic for reproduction.
TFA forms when synthetic chemicals from other “forever chemicals” such as those found in pesticides and refrigerants are partially broken down.
“This molecule (TFA) is everywhere,” Alistair Boxall, professor of Environmental Science at the University of York who carried out the research, told the BBC. “We will all be drinking water containing TFA every day – so we’ll be exposed throughout our lifetime. It’s that long-term, low level exposure that is the big concern.”
This new study was funded by environmental charity Fidra and involved sampling in 5 rivers in Wales, 3 in Northern Ireland 14 in Scotland and 10 in the north of England. The highest concentration was recorded on the River Kelvin in Glasgow.
The River Ness, which flows from Loch Ness to the Moray Firth, was the only river sampled not to show traces of TFA.
Recent studies in the EU have found TFA to be widespread, including in wine and food, human blood and breast milk.
Authorities in Germany have been looking with interest at rising TFA levels in drinking water. In the last two decades its concentrations have gone up fourfold and researchers have been trying to establish what impact – if any – it might have on human health.
Citing scientific studies that showed TFA affecting rabbit and rat foetuses, the German Federal Environment Agency (UBA) has applied to the European Chemicals Agency (ECHA) for TFA to be classified as toxic for reproduction and harmful to the environment. That could eventually lead to recommendations being made in the EU as to how products containing TFA should be controlled.
“Currently, there are no expected adverse health effects from consuming water or food contaminated with TFA,” said Andreas Hensel, president of the German Federal Institute for Risk Assessment (BfR). “The new classification is an important step in preparing further measures to ensure that this remains the case in the future”.
There aren’t currently any rules or regulations in place to identify or reduce the concentrations of TFA either in the environment or in drinking water supplies in the UK.
But aware of concerns, the Drinking Water Inspectorate, which monitors and regulates drinking water quality in England and Wales, has just commissioned its own research. It will look at how much TFA is already in drinking water and what risk – if any – it poses.
“The information signposted by the University of York suggests that TFA can be formed from the degradation of PFAS-containing pesticides,” a spokesperson for the Drinking Water Inspectorate, told the BBC. “It is important that the fate of pesticides and other chemicals in the environment is understood, in order to protect drinking water sources.”
A spokesperson for Water UK, which represents the UK’s water companies, told the BBC: “We want to see PFAS, including TFA, banned and the development of a national plan to remove it from the environment which should be paid for by manufacturers.”
AI Research
Radiomics-Based Artificial Intelligence and Machine Learning Approach for the Diagnosis and Prognosis of Idiopathic Pulmonary Fibrosis: A Systematic Review – Cureus
Artificial intelligence may take over some tasks and transform others, but one thing is certain: it’s reshaping the job market. Researchers at USC’s Information Sciences Institute (ISI) analyzed LinkedIn job postings and AI-related patent filings to measure which jobs are most exposed, and where those changes are happening first.
The project was led by ISI research assistant Eun Cheol Choi, working with students in a graduate-level USC Annenberg data science course taught by USC Viterbi Research Assistant Professor Luca Luceri. The team developed an “AI exposure” score to measure how closely each role is tied to current AI technologies. A high score suggests the job may be affected by automation, new tools, or shifts in how the work is done.
Which Industries Are Most Exposed to AI?
To understand how exposure shifted with new waves of innovation, the researchers compared patent data from before and after a major turning point. “We split the patent dataset into two parts, pre- and post-ChatGPT release, to see how job exposure scores changed in relation to fresh innovations,” Choi said. Released in late 2022, ChatGPT triggered a surge in generative AI development, investment, and patent filings.
Jobs in wholesale trade, transportation and warehousing, information, and manufacturing topped the list in both periods. Retail also showed high exposure early on, while healthcare and social assistance rose sharply after ChatGPT, likely due to new AI tools aimed at diagnostics, medical records, and clinical decision-making.
In contrast, education and real estate consistently showed low exposure, suggesting they are, at least for now, less likely to be reshaped by current AI technologies.
AI’s Reach Depends on the Role
AI exposure doesn’t just vary by industry, it also depends on the specific type of work. Jobs like software engineer and data scientist scored highest, since they involve building or deploying AI systems. Roles in manufacturing and repair, such as maintenance technician, also showed elevated exposure due to increased use of AI in automation and diagnostics.
At the other end of the spectrum, jobs like tax accountant, HR coordinator, and paralegal showed low exposure. They center on work that’s harder for AI to automate: nuanced reasoning, domain expertise, or dealing with people.
AI Exposure and Salary Don’t Always Move Together
The study also examined how AI exposure relates to pay. In general, jobs with higher exposure to current AI technologies were associated with higher salaries, likely reflecting the demand for new AI skills. That trend was strongest in the information sector, where software and data-related roles were both highly exposed and well compensated.
But in sectors like wholesale trade and transportation and warehousing, the opposite was true. Jobs with higher exposure in these industries tended to offer lower salaries, especially at the highest exposure levels. The researchers suggest this may signal the early effects of automation, where AI is starting to replace workers instead of augmenting them.
“In some industries, there may be synergy between workers and AI,” said Choi. “In others, it may point to competition or replacement.”
From Class Project to Ongoing Research
The contrast between industries where AI complements workers and those where it may replace them is something the team plans to investigate further. They hope to build on their framework by distinguishing between different types of impact — automation versus augmentation — and by tracking the emergence of new job categories driven by AI. “This kind of framework is exciting,” said Choi, “because it lets us capture those signals in real time.”
Luceri emphasized the value of hands-on research in the classroom: “It’s important to give students the chance to work on relevant and impactful problems where they can apply the theoretical tools they’ve learned to real-world data and questions,” he said. The paper, Mapping Labor Market Vulnerability in the Age of AI: Evidence from Job Postings and Patent Data, was co-authored by students Qingyu Cao, Qi Guan, Shengzhu Peng, and Po-Yuan Chen, and was presented at the 2025 International AAAI Conference on Web and Social Media (ICWSM), held June 23-26 in Copenhagen, Denmark.
Published on July 7th, 2025
Last updated on July 7th, 2025
The Spanish Society of Medical Radiology (SERAM) has collaborated with six other scientific societies to develop an AI-supported urology clinical decision-making project called Uro-Oncogu(IA)s.
The initiative produced an algorithm that will “reduce time and clinical variability” in the management of urological patients, the society said. SERAM’s collaborators include the Spanish Urology Association (AEU), the Foundation for Research in Urology (FIU), the Spanish Society of Pathological Anatomy (SEAP), the Spanish Society of Hospital Pharmacy (SEFH), the Spanish Society of Nuclear Medicine and Molecular Imaging (SEMNIM), and the Spanish Society of Radiation Oncology (SEOR).
SERAM Secretary General Dr. MaríLuz Parra launched the project in Madrid on 3 July with AEU President Dr. Carmen González.
On behalf of SERAM, the following doctors participated in this initiative:
- Prostate cancer guide: Dr. Joan Carles Vilanova, PhD, of the University of Girona,
- Upper urinary tract guide: Dr. Richard Mast of University Hospital Vall d’Hebron in Barcelona,
- Muscle-invasive bladder cancer guide: Dr. Eloy Vivas of the University of Malaga,
- Non-muscle invasive bladder cancer guide: Dr. Paula Pelechano of the Valencian Institute of Oncology in Valencia,
- Kidney cancer guide: Dr. Nicolau Molina of the University of Barcelona.
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