Publications by authors named "J Koponen"

Article Synopsis
  • This study analyzed serum PFAS levels in 706 cases of B-NHL and matched controls from a larger cancer screening trial to see if lower exposure is associated with the disease.
  • While no overall connection was found between PFAS and B-NHL, one specific PFAS (PFHxS) showed a significant association with diffuse large B cell lymphoma, but results varied depending on other factors considered in the analysis.
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Article Synopsis
  • Per- and polyfluoroalkyl substances (PFAS) are chemicals linked to immunotoxic effects that can be transferred from mothers to their unborn children, but their connection to childhood leukemia had not been thoroughly researched.
  • This study analyzed maternal PFAS levels in the blood during early pregnancy and their potential association with acute lymphoblastic leukemia in children under 15 years, using data from the Finnish Maternity Cohort.
  • Results indicated that higher levels of N-methyl-perfluorooctane sulfonamidoacetic acid were associated with increased leukemia risk, especially in children diagnosed before age 5, but other studied PFAS showed inconsistent associations.
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Human exposure to per- and polyfluoroalkyl substances (PFAS) occurs globally through contaminated food, dust, and drinking water. Studies of PFAS and thyroid cancer have been limited. We conducted a nested case-control study of prediagnostic serum levels of 19 PFAS and papillary thyroid cancer (400 cases, 400 controls) in the Finnish Maternity Cohort (pregnancies 1986-2010; follow-up through 2016), individually matched on sample year and age.

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Article Synopsis
  • Human biomonitoring (HBM) data in Europe is often fragmented, but assessments were made for exposure levels in children and adult women from 2000 to 2021 using harmonized methods and biobanked samples.
  • Analysis showed decreasing trends in harmful phthalate metabolites and BPA among children and women, respectively, alongside increasing levels of substitutes like DINCH, BPF, and BPS.
  • While clear causal relationships weren't established, the findings indicate the effectiveness of EU chemical regulations, showing reduced exposure to restricted substances but a rise in their substitutes.
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Manufacturing markings printed on products play an important role in the handling and use of pharmaceuticals and perishable foods. Currently, optical character recognition, neural networks, deep learning-based methods, and combinations of these methods are used to recognize these codes. This systematic review was performed to find papers that can answer the following research questions: How have machine vision methods that can recognize product texts evolved over the past eight years? What are the most common difficulties in recognizing product texts? Articles published between 2012 and 2020 were systematically searched from Science Direct/SCOPUS, and Google Scholar in November-December 2020.

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