Artificial intelligence in systematic reviews: promising when appropriately used

BMJ Open, Journal Year: 2023, Volume and Issue: 13(7), P. e072254 - e072254

Published: July 1, 2023

Background Systematic reviews provide a structured overview of the available evidence in medical-scientific research. However, due to increasing research output, it is time-consuming task conduct systematic reviews. To accelerate this process, artificial intelligence (AI) can be used review process. In communication paper, we suggest how transparent and reliable using AI tool ‘ASReview’ title abstract screening. Methods Use consisted several steps. First, required training its algorithm with prelabelled articles prior Next, researcher-in-the-loop algorithm, proposed article highest probability being relevant. The reviewer then decided on relevancy each proposed. This process was continued until stopping criterion reached. All labelled relevant by were screened full text. Results Considerations ensure methodological quality when included: choice whether use AI, need both deduplication checking for inter-reviewer agreement, choose reporting. Using our resulted much time saved: only 23% assessed reviewer. Conclusion promising innovation current reviewing practice, as long appropriately assured. PROSPERO registration number CRD42022283952.

Language: Английский

---

Toxicological Assessments of Agrochemicals in Stingless Bees in Brazil: a Systematic Review

Neotropical Entomology, Journal Year: 2024, Volume and Issue: 53(3), P. 480 - 489

Published: Feb. 15, 2024

Language: Английский

---

Exploring honey bee toxicological data as a proxy for assessing dimethoate sensitivity in stingless bees

Chemosphere, Journal Year: 2024, Volume and Issue: 354, P. 141652 - 141652

Published: March 8, 2024

Language: Английский

---

From Pipeline to Plant Protection Products: Using New Approach Methodologies (NAMs) in Agrochemical Safety Assessment

Journal of Agricultural and Food Chemistry, Journal Year: 2024, Volume and Issue: 72(19), P. 10710 - 10724

Published: April 30, 2024

The human population will be approximately 9.7 billion by 2050, and food security has been identified as one of the key issues facing global population. Agrochemicals are an important tool available to farmers that enable high crop yields continued access healthy foods, but average new agrochemical active ingredient takes more than ten years, 350 million dollars, 20,000 animals develop register. time, monetary, animal costs incentivize use New Approach Methodologies (NAMs) in early-stage screening prioritize chemical candidates. This review outlines NAMs currently or can adapted for programs. It covers vitro screens on horizon areas regulatory concern. Overall, with enables prioritization development agrochemicals without environmental health concerns through a directed, agile, iterative program before animal-based testing is even considered.

Language: Английский

---

Pesticide immunotoxicity on insects – Are agroecosystems at risk?

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175467 - 175467

Published: Aug. 16, 2024

Recent years have witnessed heightened scrutiny of the non-target sublethal effects pesticides on behavioural and physiological traits insects. Traditionally, attention has focused investigating pesticides' primary modes action, often overlooking potential secondary mechanisms. This review brings forth nuanced impacts pesticide exposure immune system target insect species. Pesticides, such as for example neonicotinoids, suppress response, while others, like certain organophosphates some growth regulators (IGRs), appear to bolster immunocompetence under circumstances. Beyond their individual impacts, synergic mixtures immunity are garnering increasing interest. thus summarizes recent advances in immunomodulatory pesticides, detailing both mechanisms consequences interactions. The implications these ecosystem preservation viability beneficial organisms, pollinators natural enemies pests, discussed. also considers further research directions action explores integrated pest management (IPM) programs, several model organisms studied crop While current data provide an expansive overview how innate is modulated, concrete endpoints remain elusive requiring into actions.

Language: Английский

---

Are Botanical Biopesticides Safe for Bees (Hymenoptera, Apoidea)?

Insects, Journal Year: 2023, Volume and Issue: 14(3), P. 247 - 247

Published: March 2, 2023

The recent global decline in insect populations is of particular concern for pollinators. Wild and managed bees (Hymenoptera, Apoidea) are primary environmental economic importance because their role pollinating cultivated wild plants, synthetic pesticides among the major factors contributing to decline. Botanical biopesticides may be a viable alternative plant defence due high selectivity short persistence. In years, scientific progress has been made improve development effectiveness these products. However, knowledge regarding adverse effects on environment non-target species still scarce, especially when compared that Here, we summarize studies concerning toxicity botanical different groups social solitary bees. We highlight lethal sublethal products bees, lack uniform protocol assess risks pollinators, scarcity specific such as large diverse group Results show cause number limited comparing compounds with those compounds.

Language: Английский

---

The impact of early-life exposure to three agrochemicals on survival, behavior, and gut microbiota of stingless bees (Partamona helleri)

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(27), P. 70143 - 70158

Published: May 5, 2023

Language: Английский

---

Effects of two chordotonal-organ-targeting insecticides on survival and locomotion of Melipona beecheii and Nannotrigona perilampoides (Apidae: Meliponini)

Apidologie, Journal Year: 2025, Volume and Issue: 56(2)

Published: April 1, 2025

Language: Английский

---

A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: May 3, 2025

Pesticides and other synthetic agrochemicals play a critical role in emerging agricultural practices by enhancing crop productivity protecting against pests diseases. However, their widespread application has raised significant concerns about environmental balance adverse human health impacts, including neurological disorders, cancers, respiratory metabolic effects, particularly among workers vulnerable populations. Extensive literature underscored the detrimental consequences of pesticides on health. Although, incorporation machine learning algorithms for accurate risk evaluation predictive modeling still underexplored, requiring novel solutions. This study investigates impact using advanced techniques, leveraging multi-level feature selection, hybrid ensemble learning, SHAP, custom loss function to improve prediction accuracy. presents robust framework assessing risks posed agrochemicals, offering insights into assessment strategies. Data sourced from credible organizations, WHO, CDC, EPA, NHANES, USDA, underwent extensive preprocessing analysis. Machine (ML) models such as Random Forest, LightGBM, CatBoost were employed alongside selection methods like mutual information gain (MI) Recursive Feature Elimination (RFE). A is leveraged accurately predict mortality cases avoid misclassifications penalizing false negatives. Furthermore, Particle Swarm Optimization (PSO) Genetic Algorithm (GA) used model optimization. Results demonstrate superiority models, with LightGBM-PSO + CustomLoss achieving highest performance accuracy (98. 87%), precision (98.59%), recall (99.27%), F1 score (98.91%). Findings this can contribute policy making regulatory public safety Future directions will emphasize multi-regional dataset well external validation also real-world testing integration monitoring systems.

Language: Английский

---

Sublethal glyphosate exposure reduces honey bee foraging and alters the balance of biogenic amines in the brain

Journal of Experimental Biology, Journal Year: 2025, Volume and Issue: 228(9)

Published: May 1, 2025

ABSTRACT Glyphosate is a broad-spectrum herbicide that inhibits the shikimate pathway, which honey bees (Apis mellifera), non-target beneficial pollinator, do not endogenously express. Nonetheless, sublethal glyphosate exposure in has been correlated to impairments gustation, learning, memory and navigation. While these impacted physiologies underpin bee foraging recruitment, effects of on important behaviors remain unclear, any proximate mechanism action poorly understood. We trained cohorts from same hives forage at one two artificial feeders offering 1 mol l−1 sucrose solution, either unaltered (N=40) or containing 5 mg acid equivalent (a.e.) (N=46). then compared key and, smaller subset bees, recruitment behaviors. Next, we quantified protein levels octopamine, tyramine dopamine, amino precursor tyrosine brains experimental collected 3 days after exposure. found treatment reduced their by 13.4% (P=0.022), brain content was modulated crossover interaction between number feeder visits (P=0.004). Levels octopamine were significantly with its precursors (P=0.011) (P=0.018) but control bees. Our findings emphasize critical need investigate impacts world's most-applied elucidate insects create better-informed pollinator protection strategies.

Language: Английский

---