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Digital Transformation in Toxicology: Improving Communication and Efficiency in Risk Assessment.
Singh, Ajay Vikram; Bansod, Girija; Mahajan, Mihir; Dietrich, Paul; Singh, Shivam Pratap; Rav, Kranti; Thissen, Andreas; Bharde, Aadya Mandar; Rothenstein, Dirk; Kulkarni, Shilpa; Bill, Joachim.
Afiliación
  • Singh AV; Department of Chemical and Product Safety, German Federal Institute for Risk Assessment (BfR), Max-Dohrn-Straße 8-10, 10589 Berlin, Germany.
  • Bansod G; Rajiv Gandhi Institute of IT and Biotechnology, Bharati Vidyapeeth (deemed to be) University, Pune 411045, India.
  • Mahajan M; Department of Informatics, Technical University of Munich, 85758 Garching, Germany.
  • Dietrich P; SPECS Surface Nano Analysis GmbH, Voltastrasse 5, 13355 Berlin, Germany.
  • Singh SP; School of Computer and Mathematical Sciences, University of Greenwich, London SE10 9LS, U.K.
  • Rav K; Delta Biopharmaceutical, Andhra Pradesh 524126, India.
  • Thissen A; SPECS Surface Nano Analysis GmbH, Voltastrasse 5, 13355 Berlin, Germany.
  • Bharde AM; Guru Nanak Khalsa College of Arts Science and Commerce, Mumbai 400 037, India.
  • Rothenstein D; Institute for Materials Science, Department of Bioinspired Materials, University of Stuttgart, 70569 Stuttgart, Germany.
  • Kulkarni S; Seeta Nursing Home, Shivaji Nagar, Nashik, Maharashtra 422002, India.
  • Bill J; Institute for Materials Science, Department of Bioinspired Materials, University of Stuttgart, 70569 Stuttgart, Germany.
ACS Omega ; 8(24): 21377-21390, 2023 Jun 20.
Article en En | MEDLINE | ID: mdl-37360489
ABSTRACT
Toxicology is undergoing a digital revolution, with mobile apps, sensors, artificial intelligence (AI), and machine learning enabling better record-keeping, data analysis, and risk assessment. Additionally, computational toxicology and digital risk assessment have led to more accurate predictions of chemical hazards, reducing the burden of laboratory studies. Blockchain technology is emerging as a promising approach to increase transparency, particularly in the management and processing of genomic data related with food safety. Robotics, smart agriculture, and smart food and feedstock offer new opportunities for collecting, analyzing, and evaluating data, while wearable devices can predict toxicity and monitor health-related issues. The review article focuses on the potential of digital technologies to improve risk assessment and public health in the field of toxicology. By examining key topics such as blockchain technology, smoking toxicology, wearable sensors, and food security, this article provides an overview of how digitalization is influencing toxicology. As well as highlighting future directions for research, this article demonstrates how emerging technologies can enhance risk assessment communication and efficiency. The integration of digital technologies has revolutionized toxicology and has great potential for improving risk assessment and promoting public health.

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2023 Tipo del documento: Article