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With the rapid growth of artificial intelligence (AI) applications in the field of inflammatory bowel disease (IBD), an increasing number of regulatory and methodological considerations have become apparent. Currently, there remains much uncertainty and limited experience in the field of IBD regarding some of the regulatory and methodological pitfalls to be considered when developing and deploying AI applications for positive clinical and health system impact. Accordingly, an expert panel was convened by the European Crohn's and Colitis Organisation (ECCO) to review the published literature and provide an overview of key regulatory aspects for the application of AI in IBD. This article discusses and, where possible, provides guidance on key methodological and regulatory considerations for AI in IBD. Topics covered include: potential clinical application-focused algorithm design; ethical, moral and legal considerations; regulatory agency perspectives; an overview of regulatory submission and consideration of reimbursement. By providing clinicians with a primer to key regulatory and methodological considerations, we hope to accelerate knowledge translation and implementation of AI-enabled digital health innovations in clinical practice and ultimately improve outcomes for people living with and caring for those living with IBD.
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http://dx.doi.org/10.1093/ecco-jcc/jjaf136 | DOI Listing |
J Chromatogr A
September 2025
Istituto Nazionale di Ricerca Metrologica (INRIM), Strada delle cacce 91, Turin, 10135, Italy.
Food contamination by per- and polyfluoroalkyl substances (PFAS), especially ultra-short-chain (USC) compounds, poses a growing concern due to their environmental persistence and potential health risks. Despite the developing regulatory framework, analytical challenges persist in quantifying polar USC-PFAS in complex content food matrices. This study presents the development and validation of a novel high-performance liquid chromatography coupled to a tandem mass spectrometer (HPLC-MS/MS) method for the accurate determination of USC-PFAS (carbon chain length from one to four, C1-C4) in tomato-based products (i.
View Article and Find Full Text PDFAutoimmunity
December 2025
Medicinal Genomics, Beverly, MA, USA.
For some of the COVID-19 vaccines, the drug substances released to market were manufactured differently than those used in clinical trials. Manufacturing nucleoside-modified mRNA (modRNA) for commercial COVID-19 vaccines relies on RNA polymerase transcription of a plasmid DNA template. Previous studies identified high levels of plasmid DNA in vials of modRNA vaccines, suggesting that the removal of residual DNA template is problematic.
View Article and Find Full Text PDFSince Freud, psychologists have sought to decipher the language of dreams, but no universal interpretive manual exists. Advances in dream neuroscience and the emergence of Code Biology have brought us closer to understanding the rules and functions underlying dream formation. Code Biology, which studies coding processes in living systems, offers a revolutionary framework for how neural and symbolic patterns generate dream narratives.
View Article and Find Full Text PDFEcotoxicol Environ Saf
September 2025
Institute of Strategic Planning, Chinese Academy of Environmental Planning, Beijing, China.
Industrial activities are major contributors to farmland soil pollution, posing considerable risk potential to the soil environment. A quantitative and spatial assessment of the industrial pollution-related risk potential will provide critical insights into their characteristics, supporting methodological advancements and practical applications in soil environmental management. This study develops a systematic evaluation framework to assess the risk potential of industrial pollution to the farmland soil environment.
View Article and Find Full Text PDFGigascience
January 2025
Center for Cancer Research, Comprehensive Cancer Center, Medical University of Vienna, 1090 Vienna, Austria.
Background: Pancreatic ductal adenocarcinoma (PDAC), the most common and aggressive form of pancreatic cancer, exhibits profound intratumor morphological heterogeneity, complicating the elucidation of the underlying molecular mechanisms driving its progression.
Results: We present and validate an optimized framework for RNA sequencing (RNA-seq) of multiple spatially resolved laser micro-dissected tumor areas (LMD-seq), along with methodological and analytical details to maximize reproducibility and data mining. This approach enhances sensitivity in detecting lowly expressed genes, outperforming single-cell RNA-seq methods, particularly in identifying rare tumor cell populations and transcriptional programs with low expression.