ReviewACS omega2023
Digital Transformation in Toxicology: Improving Communication and Efficiency in Risk Assessment.
Review in ACS omega, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed.
- Big data and AI: Potential and challenges for digital transformation in toxicology.Environmental analysis, health and toxicology · 2025Article
- Analytical modeling of thiosemicarbazone metal complexes-based colorimetric array for high-throughput detection of multiple biogenic amines.Mikrochimica acta · 2025Article
- Bioinspired Soft Machines: Engineering Nature's Grace into Future Innovations.Journal of functional biomaterials · 2025Review
- Association between body roundness index and weight-adjusted waist index with asthma prevalence among US adults: the NHANES cross-sectional study, 2005-2018.Scientific reports · 2025Article
- Review
- Leveraging Administrative Health Databases to Address Health Challenges in Farming Populations: Scoping Review and Bibliometric Analysis (1975-2024).JMIR public health and surveillance · 2025Article
- Diabetic Foot Talk-Time: framework for effective communication in diabetic foot management.Frontiers in clinical diabetes and healthcare · 2025Article
- Unveiling insights from the Joint FAO/WHO Expert Committee on Food Additives (JECFA) portal.Scientific data · 2024Article
- Overview of Computational Toxicology Methods Applied in Drug and Green Chemical Discovery.Journal of xenobiotics · 2024Review
- Nanotechnology in healthcare, and its safety and environmental risks.Journal of nanobiotechnology · 2024Review
- The Dawn of a New Pharmaceutical Epoch: Can AI and Robotics Reshape Drug Formulation?Advanced healthcare materials · 2024Article
- Enterprise risk management implementation challenges in medical laboratories in Harare, Zimbabwe.Health science reports · 2024Article
- Evaluation of destruction of bacterial membrane structure associated with anti-quorum sensing and ant-diabetic activity ofHeliyon · 2024Article
- Superoxide Dismutase Mimetic Avasopasem Manganese Enhances Radiation Therapy Effectiveness in Soft Tissue Sarcomas and Accelerates Wound Healing.Antioxidants (Basel, Switzerland) · 2024Article
- Holotomography and atomic force microscopy: a powerful combination to enhance cancer, microbiology and nanotoxicology research.Discover nano · 2024Review
- Nanotechnology-based theranostic and prophylactic approaches against SARS-CoV-2.Immunologic research · 2024Review
- Amide proton transfer weighted contrast has diagnostic capacity in detecting diabetic foot: an MRI-based case-control study.Frontiers in endocrinology · 2024Article
- Nanobiomaterials: exploring mechanistic roles in combating microbial infections and cancer.Discover nano · 2023Review
- Single and Multitarget Systems for Drug Delivery and Detection: Up-to-Date Strategies for Brain Disorders.Pharmaceuticals (Basel, Switzerland) · 2023Review
- Feeding Next-Generation Nanomedicines to Europe: Regulatory and Quality Challenges.Advanced healthcare materials · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.