Vera Battini

Milan, 20157, Italy

Last Updated: 09/26/2026

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Found 47 publications

Real-World Patterns of Delayed Cutaneous Adverse Reactions to Antimicrobial Therapy in Children: A Case Series and FAERS Analysis Across Age Groups.

Real-World Patterns of Delayed Cutaneous Adverse Reactions to Antimicrobial Therapy in Children: A Case Series and FAERS Analysis Across Age Groups.

Journal: Antibiotics (Basel, Switzerland)

Published: June 05, 2026

Biomedical Large Language Models and Prompt Engineering for Causality Assessment of Individual Case Safety Reports in Pharmacovigilance.

Biomedical Large Language Models and Prompt Engineering for Causality Assessment of Individual Case Safety Reports in Pharmacovigilance.

Journal: Pharmaceutical research

Published: February 23, 2026

Off-Label Ustekinumab and Vedolizumab in Pediatric Anti-TNFα Refractory IBD: Therapeutic Drug Monitoring Insights from a Case Series.

Off-Label Ustekinumab and Vedolizumab in Pediatric Anti-TNFα Refractory IBD: Therapeutic Drug Monitoring Insights from a Case Series.

Journal: Pharmaceuticals (Basel, Switzerland)

Published: December 04, 2025

Olmesartan-Induced Enteropathy: Case Reports and Insights From FDA Adverse Event Reporting System (FAERS).

Olmesartan-Induced Enteropathy: Case Reports and Insights From FDA Adverse Event Reporting System (FAERS).

Journal: Journal of pharmacy practice

Published: September 06, 2025

Artificial intelligence in pharmacovigilance signal management: a review of tools, implementations, research, and regulatory landscape.

Artificial intelligence in pharmacovigilance signal management: a review of tools, implementations, research, and regulatory landscape.

Journal: Expert opinion on drug safety

Published: August 08, 2025

NAT2 Acetylation Status Predicts Hepatotoxicity During Antituberculosis Therapy: Cumulative Risk Analysis of a Multiethnic Cohort.

NAT2 Acetylation Status Predicts Hepatotoxicity During Antituberculosis Therapy: Cumulative Risk Analysis of a Multiethnic Cohort.

Journal: International journal of molecular sciences

Published: March 11, 2025

Network Analysis and Machine Learning for Signal Detection and Prioritization Using Electronic Healthcare Records and Administrative Databases: A Proof of Concept in Drug-Induced Acute Myocardial Infarction.

Network Analysis and Machine Learning for Signal Detection and Prioritization Using Electronic Healthcare Records and Administrative Databases: A Proof of Concept in Drug-Induced Acute Myocardial Infarction.

Journal: Drug safety

Published: January 16, 2025

NAT2 Slow Acetylator Phenotype as a Significant Risk Factor for Hepatotoxicity Caused by Antituberculosis Drugs: Results From a Multiethnic Nested Case-Control Study.

NAT2 Slow Acetylator Phenotype as a Significant Risk Factor for Hepatotoxicity Caused by Antituberculosis Drugs: Results From a Multiethnic Nested Case-Control Study.

Journal: Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

Published: September 20, 2024

Low-dose aspirin and risk of anaemia in older adults: insights from a Danish register-based cohort study.

Low-dose aspirin and risk of anaemia in older adults: insights from a Danish register-based cohort study.

Journal: European heart journal. Quality of care & clinical outcomes

Published: June 28, 2024

New data-driven method to predict the therapeutic indication of redeemed prescriptions in secondary data sources: a case study on antiseizure medications users aged ≥65 identified in Danish registries.

New data-driven method to predict the therapeutic indication of redeemed prescriptions in secondary data sources: a case study on antiseizure medications users aged ≥65 identified in Danish registries.

Journal: BMJ open

Published: June 06, 2024

Exploring the impact of co-exposure timing on drug-drug interactions in signal detection through spontaneous reporting system databases: a scoping review.

Exploring the impact of co-exposure timing on drug-drug interactions in signal detection through spontaneous reporting system databases: a scoping review.

Journal: Expert review of clinical pharmacology

Published: April 15, 2024

Timing Matters: A Machine Learning Method for the Prioritization of Drug-Drug Interactions Through Signal Detection in the FDA Adverse Event Reporting System and Their Relationship with Time of Co-exposure.

Timing Matters: A Machine Learning Method for the Prioritization of Drug-Drug Interactions Through Signal Detection in the FDA Adverse Event Reporting System and Their Relationship with Time of Co-exposure.

Journal: Drug safety

Published: April 03, 2024

Showing 1-12 of 47

Last Updated: 09/26/2026