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CHIASMA: Advancing chemicals and materials safety and sustainability assessments through innovative integration of in vitro and in silico (new approach) methodologies

Weber, Pamina; Arnesdotter, Emma; Attar, Nour; Friedrichs, Steffi; Seitz, Christian; Chowdhury, Riju Roy; Koch, Katharina; Buerki-Thurnherr, Tina; Brugger, Beatrice; Wick, Peter; Morikka, Jack; Serra, Angela; Campini, Lorenzo; Greco, Dario; Lacconi, Valentina; Marchese, Adriana Scattareggia; Campagnolo, Luisa; Exner, Thomas E.; Brajnik, Maja; Brun, Émilie; Lynch, Iseult; Zouraris, Dimitris; Mintis, Dimitris; Tsoumanis, Andreas; Afantitis, Antreas; Melagraki, Georgia; Minadakis, Vasileios; Papakyriakopoulou, Paraskevi; Tsiros, Periklis; Thépaut, Elisa; Sarimveis, Haralambos; Majó, Marc; Hischier, Roland; Virmani, Ishita; Paparella, Martin; Kavaliauskiene, Simona; Sayyari, Amin; Fontaine, Romain; Müller, Mette Helen Bjørge; Lee, Eunseo; Gerelkhuu, Zayakhuu; Yoon, Tae Hyun; Turan-Sorhun, Duygu; Neuhaus, Winfried; Serchi, Tommaso (2025)

 
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Weber, Pamina
Arnesdotter, Emma
Attar, Nour
Friedrichs, Steffi
Seitz, Christian
Chowdhury, Riju Roy
Koch, Katharina
Buerki-Thurnherr, Tina
Brugger, Beatrice
Wick, Peter
Morikka, Jack
Serra, Angela
Campini, Lorenzo
Greco, Dario
Lacconi, Valentina
Marchese, Adriana Scattareggia
Campagnolo, Luisa
Exner, Thomas E.
Brajnik, Maja
Brun, Émilie
Lynch, Iseult
Zouraris, Dimitris
Mintis, Dimitris
Tsoumanis, Andreas
Afantitis, Antreas
Melagraki, Georgia
Minadakis, Vasileios
Papakyriakopoulou, Paraskevi
Tsiros, Periklis
Thépaut, Elisa
Sarimveis, Haralambos
Majó, Marc
Hischier, Roland
Virmani, Ishita
Paparella, Martin
Kavaliauskiene, Simona
Sayyari, Amin
Fontaine, Romain
Müller, Mette Helen Bjørge
Lee, Eunseo
Gerelkhuu, Zayakhuu
Yoon, Tae Hyun
Turan-Sorhun, Duygu
Neuhaus, Winfried
Serchi, Tommaso
2025

Computational and structural biotechnology journal
doi:10.1016/j.csbj.2025.11.032
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202601021002

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Peer reviewed
Tiivistelmä
Traditional in vivo methodologies have long formed the foundation of chemical and material safety assessment, yet they are increasingly inadequate to meet modern regulatory, ethical, and sustainability demands. These conventional approaches are resource-intensive, ethically questionable, and often fail to accurately predict human or environmental toxicity, particularly for emerging pollutants such as PFAS, (nano-) pesticides, and 2D materials. In response, the EU has launched initiatives like the Chemical Strategy for Sustainability and the Zero Pollution Action Plan under the European Green Deal to promote innovation in safer, and more sustainable chemicals. Central to this transformation is the Safe and Sustainable by Design (SSbD) framework, developed by the European Commission's Joint Research Center, which provides structured methodologies and metrics to integrate safety and sustainability into material innovation from the earliest stages of design. Building on this vision, the CHIASMA project aims to advance Next generation Safety Assessment (NGSA) by developing innovative New Approach Methodologies (NAMs) that combine experimental, computational, and Life Cycle Assessment (LCA) tools. Focusing on key biological systems and exposure routes, CHIASMA integrates Artificial Intelligence (AI), Machine Learning (ML), and Knowledge Graph (KG) technologies to enhance data interoperability and predictive accuracy. By embedding FAIR data principles and aligning with Good Laboratory Practice (GLP) standards, CHIASMA promotes transparency and regulatory acceptance. Fully aligned with SSbD principles, CHIASMA establishes a digital, interoperable infrastructure for predictive safety evaluation, that leverage on state-of-art experimental New Approach Methodologies (NAMs) bridging critical data gaps and supporting the transition towards sustainable, science-driven, and ethically responsible chemical and material innovation in Europe and beyond.
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PL 617
33014 Tampereen yliopisto
oa[@]tuni.fi | Tietosuoja | Saavutettavuusseloste