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1. Artificial Intelligence Methods for Evaluating Mitochondrial Dysfunction: Exploring Various Chemical Notations Suitable for Neural Language Processing Models

5. Ensemble Methods for Multi-Organ Segmentation in CT Series

6. A 2024 inventory of test methods relevant to thyroid hormone system disruption for human health and environmental regulatory hazard assessment [version 1; peer review: 2 approved]

8. Quantitative Structure–Activity Relationship Models for the Angiotensin-Converting Enzyme Inhibitory Activities of Short-Chain Peptides of Goat Milk Using Quasi-SMILES

10. List of contributors

15. Prediction of Endocrine-Disrupting Chemicals Related to Estrogen, Androgen, and Thyroid Hormone (EAT) Modalities Using Transcriptomics Data and Machine Learning

16. Models for the No-Observed-Effect Concentration (NOEC) and Maximal Half-Effective Concentration (EC50)

17. Prevalence and Predictors of Post-Acute COVID-19 Symptoms in Italian Primary Care Patients

25. Impact of first and second/third wave of COVID-19 pandemic on post-acute cardiovascular outcomes in Lombardy

27. Diabetes mellitus duration and mortality in patients hospitalized with acute myocardial infarction

28. Effectiveness and safety of GLP-1 receptor agonists versus SGLT-2 inhibitors in type 2 diabetes: an Italian cohort study

29. Principles and procedures for assessment of acute toxicity incorporating in silico methods

30. Lifetime risk, life expectancy, and years of life lost to type 2 diabetes in 23 high-income jurisdictions: a multinational, population-based study

31. Rationale and design of the CV-PREVITAL study: an Italian multiple cohort randomised controlled trial investigating innovative digital strategies in primary cardiovascular prevention

32. Proton Pump Inhibitor Use and the Risk of Cardiovascular Complications and Death in Older Adults with Diabetes: A Population-Based Cohort Study

33. A regression-based QSAR-model to predict acute toxicity of aromatic chemicals in tadpoles of the Japanese brown frog (Rana japonica): Calibration, validation, and future developments to support risk assessment of chemicals in amphibians

34. Generic kinetic and kinetic‐dynamic modelling in human subgroups of the population and animal species to support transparency in food and feed safety: Case studies.

35. Artificial Intelligence and Machine Learning Methods to Evaluate Cardiotoxicity following the Adverse Outcome Pathway Frameworks

36. Semi-Correlations for Building Up a Simulation of Eye Irritation

38. Evaluating confidence in toxicity assessments based on experimental data and in silico predictions

39. Trends in all-cause mortality among people with diagnosed diabetes in high-income settings: a multicountry analysis of aggregate data

40. High-dose ivermectin for early treatment of COVID-19 (COVER study): a randomised, double-blind, multicentre, phase II, dose-finding, proof-of-concept clinical trial

43. The System of Self-Consistent Models: The Case of Henry’s Law Constants

44. Using the Correlation Intensity Index to Build a Model of Cardiotoxicity of Piperidine Derivatives

47. Trends in the incidence of diagnosed diabetes: a multicountry analysis of aggregate data from 22 million diagnoses in high-income and middle-income settings

48. Ligand-based prediction of hERG-mediated cardiotoxicity based on the integration of different machine learning techniques

49. EFSA’s OpenFoodTox: An open source toxicological database on chemicals in food and feed and its future developments

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