Interested in learning more about REACHAcross™ software from our experts? Listen to this overview on the tool and how it can help your REACH compliance efforts:Listen Now
This ground-breaking digital tool offers the best of both worlds: automated computational QSAR using one of the largest chemical toxicology databases available, combined with the reliability of read across. REACHAcross™ software works by building large networks of chemicals based on properties such as molecular structure and health endpoint interactions.
Using advanced machine-learning techniques, it assesses endpoint behavior for any chemical of interest for REACH submission. Users can access Toxicology Assessment Reports for 8 key endpoints, including acute dermal irritation, acute dermal toxicity, skin sensitization, acute eye irritation, acute oral toxicity, mutagenicity and chronic toxicity. Now predicts hazard categories for 8 endpoints. Click on the icon group to view the Endpoint Validation Summary following OECD Validation Framework Principles.
REACHAcross™software is a highly advanced artificial intelligence tool that provides a digital alternative to animal testing and offers a new way to comply with REACH.
Our sophisticated engine builds large networks of chemicals based on properties such as molecular structure and health endpoints interactions. The REACHAcross™ software system uses curated data from multiple, widely accepted public sources.
Using advanced machine-learning and complex mathematical algorithms, the system is able to accurately assess health impacts for the chemical entered with the certainty of an animal test and sensitivities of 80% across endpoints.
Data from the REACHAcross™ software Toxicology Assessment Report can be used to populate IUCLID, the European Chemicals Agency ‘s (ECHA) formal reporting tool for REACH compliance.
Access a sample REACHAcross™ Toxicology Assessment Report.
Whether you work for a manufacturer, are a consulting toxicologist, filing independently or through a Substance Information Exchange Forum (SIEF), REACHAcross™ can help you produce REACH dossier compliant toxicology reports with speed and precision. REACHAcross™ software is a highly advanced artificial intelligence tool that saves you time and money by replacing the need for costly animal testing and the expense of hiring additional expert support. Unlike conventional read-across, REACHAcross™ provides a quantitative assessment of accuracy for 8 common health endpoints. Use UL REACHAcross™ software to produce your REACH compliant reports, or use to supplement your conventional read-across arguments to provide additional weight of evidence at minimal cost.
REACHAcross™ software enables product stewards to fill 8 required REACH endpoints with the use of a digital tool so you can assemble and submit dossiers for REACH compliance. If your company lacks internal toxicology expertise, this tool can help you rapidly determine and cost-effectively generate data, thereby minimizing the amount of external consulting costs.
Optimize your turnaround times and client satisfaction with REACHAcross™ software, a highly advanced artificial intelligence tool that enables you to manage more chemicals with higher confidence and consistency of results. In addition to increasing through-put and capacity, the tool is validated to OECD Principles and calculates certainty and uncertainty, increasing your level of confidence. Use REACHAcross™ software to give your clients fast access to REACH complaint reports, while reducing your outsourcing and animal testing costs.
With a half billion calculations per assessment, REACHAcross™ software enables you to perform a read-across assessment in minutes versus days required for a manual assessment.
REACHAcross™ software leverages previously conducted animal experimental data to extrapolate health risks while reducing the need for expensive and unnecessary animal testing or costly consulting fees.
Advanced machine learning algorithms identify the most relevant chemical analogs from one of the largest toxicology databases available ensuring reliable results, proven to be just as accurate as other available toolkits and animal testing, but at a much lower cost.
The UL REACHAcross™ report includes chemical structures, similarity index score and hazard categories for nearest neighbors and hazard predictions for the chemical. This enables you to use the REACHAcross report beyond REACH registrations.
Easy to Use
REACHAcross™ software makes it easy to operate and get the information you need; no expertise, qualifications or training required.
Large Curated Database
With one of the largest collections of chemical structures and endpoints (and growing) the database includes:
Advanced Machine Learning
Machine-learning engine builds networks of chemicals based on molecular structure, while complex algorithms make half a billion calculations per assessment to find associations between chemicals and endpoints. This enables the delivery of complete results for both existing and new chemicals.
REACHAcross™ software has been validated according to OECD QSAR standards with sensitivities greater than 80%, matching the quality and accuracy of animal test results.
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THOMAS HARTUNG, MD, PhD, The Johns Hopkins University Bloomberg School of Public Health Thomas Hartung is a recognized authority on toxicology with a broad background in clinical and experimental pharmacology. The goal of his work is to create a paradigm shift in toxicity testing to improve public health. With more than 350 publications to his name, he previously served as the head of the European Center for the Validation of Alternative Methods of the European Commission (2002-2008), and is involved in the implementation of the 2007 NRC vision document “Toxicity Testing in the 21st Century – a vision and a strategy.” Hartung relocated to the US early 2009 to establish the directorship for the Center for Alternatives to Animal Testing (CAAT) a laboratory for developmental neurotoxicity research based on genomics and metabolomics the respective technologies were made available by a Thought-Leader Award from Agilent.
TOM LUECHTEFELD, PhD, CANDIDATE, Toxtrack Tom Luechtefeld co-founded Toxtrack and brings together an academic and entrepreneurial background in computer science and toxicology. He is responsible for development of computational toxicology algorithms at Toxtrack. Tom integrates machine learning approaches with traditional chemical informatics to make predictive models for chemical hazards. With an academic training in molecular toxicology, machine learning and applied mathematics, Tom builds applications leveraging big data to identify chemical risks. Tom is a PhD candidate in molecular toxicology at Johns Hopkins and has formal training in machine learning and computer science at Johns Hopkins.
CRAIG ROWLANDS, PhD, D.A.B.T., SENIOR TOXICOLOGIST, UL Dr. Craig Rowlands is Senior Toxicologist with UL where he provides leadership in the development of new business models and capabilities for safety assessments of consumer products. With over two decades of experience, Craig is an expert in navigating regulatory compliance for new substances and products through delivery of the appropriate safety data and risk assessments. His research and policy advocacy efforts are in the areas of predictive toxicology with a focus on sustainability and the development of non-animal alternative testing strategies towards reducing environmental, health and safety risks of chemicals.
ANNE BONHOFF, PhD, GLOBAL HEAD OF CHEMISTRY, UL ENVIRONMENT Through her vision and over 25 years of expertise, Dr. Anne Bonhoff develops targeted business solutions to ensure the standardization, harmonization, and quality of chemical testing for consumer goods throughout UL’s state-of-the-art laboratories. An industry thought leader, she is a recognized global expert on the topics of restricted substances, toxicology, environmental issues, ecological trends and eco-legislation. Anne designs and develops tailor-made chemical management and sustainability solutions across the entire supply chain including detox and zero discharge. She is frequently requested to present at high-profile events, and has authored several articles for publication. Anne was inducted into UL’s William Henry Merrill Society in recognition of her significant and sustained contribution to the advancement of safety science and safety engineering.