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Genetically modified (GM) crops that have been engineered to express transgenes have been in commercial use since 1995 and are annually grown on 200 million hectares globally. These crops have provided documented benefits to food security, rural economies, and the environment, with no substantiated case of food, feed, or environmental harm attributable to cultivation or consumption. Despite this extensive history of advantages and safety, the level of regulatory scrutiny has continually increased, placing undue burdens on regulators, developers, and society, while reinforcing consumer distrust of the technology. CropLife International held a workshop at the 16th International Society of Biosafety Research (ISBR) Symposium to examine the scientific basis for modernizing global regulatory frameworks for GM crops. Participants represented a spectrum of global stakeholders, including academic researchers, GM crop developers, regulatory consultants, and regulators. Concurrently examining the considerations of food and feed safety, along with environmental safety, for GM crops, the workshop presented recommendations for a core set of data that should always be considered, and supplementary (i.e., conditional) data that would be warranted only on a case-by-case basis to address specific plausible hypotheses of harm. Then, using a case-study involving a hypothetical GM maize event expressing two familiar traits (insect protection and herbicide tolerance), participants were asked to consider these recommendations and discuss if any additional data might be warranted to support a science-based risk assessment or for regulatory decision-making. The discussions during the workshop highlighted that the set of data to address the food, feed, and environmental safety of the hypothetical GM maize, in relation to a conventional comparator, could be modernized compared to current global regulatory requirements. If these scientific approaches to modernize data packages for GM crop regulation were adopted globally, GM crops could be commercialized in a more timely manner, thereby enabling development of more diverse GM traits to benefit growers, consumers, and the environment.

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Small procedural changes in how regulatory agencies implement biotech policies can make significant differences in improving regulatory efficiency. This paper discusses how science based, crop specific guidance documents can improve dossier content and the review and approval of biotech varieties. In addition, we describe how the adoption of established risk assessment methodology and applying policy-linked decision making at the agency level can boost both efficiency and developer, public and government confidence in agency decision making and in biotech crops.

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Hazard classification and risk assessment of substances, is essential to protect workers and consumers from hazardous substances including reproductive toxicants. The ability to classify substances for reproductive toxicity under the current REACH information requirements has been assessed. For low tonnage substances (<10 ton per annum (tpa)) information for classification is insufficient. When only a reproductive screening study is available (10-100 tpa), substances are mostly not classified in Category 1B as developmental and non-potent fertility effects may be missed. The information requirements could be improved by automatic triggering of follow-up studies in case of a Category 2 classification based on a screening study. Additionally, a study could be added to the information requirements for substances produced at 1-10 tpa. Performing a risk assessment is often problematic due to the limited study requirements at low tonnage levels. Only for substances produced at more than 100 tpa, there is a high likelihood to detect reproductive effects and perform accurate risk assessment provided that the extended-one-generation-reproductive-toxicity-study and/or extra cohorts are triggered where required. Regardless of the tonnage level, no specific studies on lactation are required. With this paper we intend to contribute to the discussion on the information requirements for reproductive toxicity in view of the REACH revision.

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BACKGROUND: Celiac disease is a major public health problem in many countries, including Iran. Considering the disease's exponential spread throughout the world and its risk factors, identifying the educational priorities and minimum data required to control and treat the disease is of great significance. METHODS: The present study was conducted in two phases in 2022. In the first phase, a questionnaire was developed based on the information obtained from a review of the literature. Later, the questionnaire was administered to 12 pundits in the fields of nutrition (n = 5), internal medicine (n = 4), and gastroenterology (n = 3). As a result, the necessary and important educational content was determined for developing the Celiac Self-Care System. RESULTS: According to the experts' viewpoints, the educational needs of patients were classified into nine categories of demographic information, clinical information, long-term complications, comorbidity, tests, medications, dietary recommendations, general recommendations, technical capabilities as well as 105 subcategories. CONCLUSIONS: Due to the increased prevalence of Celiac disease and the lack of an established minimum set of data, determining the required educational information is of great importance at the national level. Such information could be useful in implementing educational health programs to raise the public level of awareness. In the field of education, such contents can be employed in planning new technology based on mobile phones (mobile health), preparing registries, and producing widely used content.

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Kidney Exchange Programs (KEP) are valuable tools to increase the options of living donor kidney transplantation for patients with end-stage kidney disease with an immunologically incompatible live donor. Maximising the benefits of a KEP requires an information system to manage data and to optimise transplants. The data input specifications of the systems that relate to key information on blood group and Human Leukocyte Antigen (HLA) types and HLA antibodies are crucial in order to maximise the number of identified matched pairs while minimising the risk of match failures due to unanticipated positive crossmatches. Based on a survey of eight national and one transnational kidney exchange program, we discuss data requirements for running a KEP. We note large variations in the data recorded by different KEPs, reflecting varying medical practices. Furthermore, we describe how the information system supports decision making throughout these kidney exchange programs.

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The forecasting of sudden, irreversible shifts in natural systems is a challenge of great importance, whose realization could allow pre-emptive action to be taken to avoid or mitigate catastrophic transitions, or to help systems adapt to them. In recent years, there have been many advances in the development of such early warning signals. However, much of the current toolbox is based around the tracking of statistical trends and therefore does not aim to estimate the future time scale of transitions or resilience loss. Metric-based indicators are also difficult to implement when systems have inherent oscillations which can dominate the indicator statistics. To resolve these gaps in the toolbox, we use additional system properties to fit parsimonious models to dynamics in order to predict transitions. Here, we consider nearly-one-dimensional systems-higher dimensional systems whose dynamics can be accurately captured by one-dimensional discrete time maps. We show how the nearly one-dimensional dynamics can be used to produce model-based indicators for critical transitions which produce forecasts of the resilience and the time of transitions in the system. A particularly promising feature of this approach is that it allows us to construct early warning signals even for critical transitions of chaotic systems. We demonstrate this approach on two model systems: of phosphorous recycling in a shallow lake, and of an overcompensatory fish population.

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At a building or dwelling scale, accurate evaluation of the water savings potential from rainwater harvesting (RWH) can be achieved by simulating the performance of the RWH system using a balance equations model. At an urban scale, water savings potential is usually estimated from the balance between the annual rainfall and annual water consumption. This approach has limited accuracy since it assumes an infinite storage capacity and it disregards the variability of the ratio between the water collected and water consumed in each building. This paper presents a methodology to evaluate rainwater harvesting potential at an urban level taking into consideration buildings' characteristics and consumption pattern. The complexity of the model is balanced with the format and detail of the information available to allow fast and easy implementation with few resources. The proposed methodology is applied to the city of Lisbon, Portugal, located on the Atlantic coast of the Mediterranean climate region. The results demonstrate water savings potential ranging from 16 to 86% depending on the buildings and occupancy characteristics. The spatial variability of the rainfall in the city of Lisbon was found to be negligible for rainwater harvesting potential evaluation.

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PURPOSE: Meeting marketplace demands for proving the value of new products requires more data than the industry has routinely produced. These data include evidence from comparative effectiveness research (CER), including randomized, controlled trials; pragmatic clinical trials; observational studies; and meta-analyses. METHODS: We designed and conducted a survey to examine the industry's perceptions on new data requirements regarding CER evidence, the acceptability of postapproval study types, payer-specific issues related to CER, communication of data being generated postapproval, and methods used for facilitating postapproval evidence generation. FINDINGS: CER is being used by payers for most types of postapproval decisions. Randomized, controlled trials were indicated as the most acceptable form of evidence. At the same time, there was support for the utility of other types of studies, such as pragmatic clinical trials and observational studies. Respondents indicated the use of multiple formats for communicating postapproval data with many different stakeholders including regulators, payers, providers, and patients. Risk-sharing agreements with payers were unanimously supported by respondents with regard to certain products with unclear clinical and economic outcomes at launch. In these instances, conditional reimbursement through coverage with evidence development was considered a constructive option. The Food and Drug Administration's initiative called Regulatory Science was considered by the respondents as having the most impact on streamlining the generation of postapproval research-related evidence. IMPLICATIONS: The biopharmaceutical industry is faced with a broad and complex set of challenges related to evidence generation for postapproval decisions by a variety of health care system stakeholders. Uncertainty remains as to how the industry and payers use postapproval studies to guide decision making with regard to pricing and reimbursement status. Correspondingly, there is uncertainty regarding whether the industry's investment in CER will have a positive return on investment in terms of reimbursement and market access.

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This paper summarises the terrestrial ecotoxicity data submitted in the REACH registration dossiers and disseminated by ECHA. The analysis describes both the guidelines and the test species mostly used by registrants. REACH information requirements in relation to the effects on terrestrial organisms encompass three trophic levels; invertebrates, plants and micro-organisms, and the study of both long and short-term exposure. The results observed for soil invertebrates showed that on one hand there was a clear prevalence for testing on the species recommended by the standard test guidelines. On the other, the reporting included a large variety of species from very different families, demonstrating the feasibility for conducting toxicity tests on a number of relevant groups e.g. for species sensitivity distribution approaches. Standard toxicity testing with terrestrial plants under REACH follows a different approach and requires simultaneous testing on several species, using the same test conditions, adapted to each species, if needed. The test methods used to conduct the studies were only reported for 30% of cases. The most extensively reported test guidelines for terrestrial plants were OECD 208, ISO 11269-1 and ISO 11269-1. Information requirements for soil micro-organisms under REACH are related to the analysis of functional endpoints instead of on species or taxa. As recommended in REACH, OECD 216 and OECD 217 were the most often used test methods for soil micro-organisms. But overall, the test method was reported for only about 40% of the experimental studies. Moreover, it is noted that information on potential effects on soil micro-organisms is available for a limited number of REACH registered substances. The assessment suggests that providing waiving justifications and collecting available information, which in many cases might be well used for covering standard REACH data requirements, have been the main approaches used by registrants for the first REACH registration deadline.

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This paper summarises the aquatic ecotoxicity data submitted in the REACH(1) registration dossiers and disseminated by the European Chemicals Agency (ECHA(2)). The analysis describes both the guidelines and the species mostly used by registrants. Non-OECD guidelines have been extensively used, in particular in covering of fish and aquatic invertebrate studies, but the main concern is that in 22-36% of the cases, depending on the endpoint, no information on the methodological approach and potential equivalences to test guidelines has been provided. As expected, most studies were conducted with those species typically used in laboratory ecotoxicity testing; nevertheless, the database provides a broad range of available species, covering the most relevant taxonomic groups for both freshwater and marine systems, although most are just occasionally used. This species diversity is essential for higher tier testing strategies, including the use of Species Sensitivity Distribution approaches. The assessment suggests that collecting available information has been the main approach used by registrants to fulfil their REACH information requirements for this first REACH registration deadline. Many studies are disclosed for the first time, and all are available through searchable web tools.

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For the first REACH registration deadline, companies have submitted registrations with relevant hazard and exposure information for substances at the highest tonnage level (above 1000 tonnes per year). At this tonnage level, information on the long-term toxicity of a substance to sediment organisms is required. There are a number of available test guidelines developed and accepted by various national/international organisations, which can be used to investigate long-term toxicity to sediment organisms. However instead of testing, registrants may also use other options to address toxicity to sediment organisms, e.g. weight of evidence approach, grouping of substances and read-across approaches, as well as substance-tailored exposure-driven testing. The current analysis of the data provided in ECHA database focuses on the test methods applied and the test organisms used in the experimental studies to assess long-term toxicity to sediment organisms. The main guidelines used for the testing of substances registered under REACH are the OECD guidelines and OSPAR Protocols on Methods for the Testing of Chemicals used in the Offshore Oil Industry: "Part A: A Sediment Bioassay using an Amphipod Corophium sp." explaining why one of the mostly used test organisms is the marine amphipod Corophium sp. In total, testing results with at least 40 species from seven phyla are provided in the database. However, it can be concluded that the ECHA database does not contain a high enough number of available experimental data on toxicity to sediment organisms for it to be used extensively by the scientific community (e.g. for development of non-testing methods to predict hazards to sediment organisms).

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REACH(1) entered into force in June 2007 and has hence been operational for six years. With the first registration deadline in November 2010, the European Chemicals Agency (ECHA(2)) has received a large amount of scientific and administrative information related to chemical substances. In order to understand what type of data on ecotoxicity endpoints was submitted under the REACH framework a detailed analysis of the availability and content of relevant information was performed. To avoid unnecessary testing, the REACH Regulation provides registrants with the possibility to build testing strategies and to adopt the standard information requirements based on the specific conditions listed in the regulation. The types of information submitted by registrants to fulfil data requirements for aquatic, sediment and terrestrial toxicity endpoints were analysed. The REACH database analysis confirms large differences in the availability of experimental aquatic versus sediment and soil ecotoxicity data. Information requirements on aquatic organisms are mainly covered by experimental data, while those for sediment and soil are mostly waived.

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