AstraZeneca (United States)

Artificial intelligence and digital pathology: clinical promise and deployment considerations

Mark D. Zarella, David S. McClintock, Harsh Vardhan Batra et al.

2023 · 39 Zit.

RETRACTED: Pooled Analysis of Roxadustat for Anemia in Patients With Kidney Failure Incident to Dialysis

Robert Provenzano, Steven Fishbane, Lynda A. Szczech et al.

2020 · 35 Zit.

The future of Artificial Intelligence for the BioTech Big Data landscape

Fausto Artico, Arthur L Edge, Kyle Langham

2022 · 20 Zit.

The Unseen Hand: AI-Based Prescribing Decision Support Tools and the Evaluation of Drug Safety and Effectiveness

Harriet Dickinson, Dana Y. Teltsch, Jan Feifel et al.

2023 · 18 Zit.

The Australian academic STEMM workplace post-COVID: a picture of disarray

Katherine Christian, Jo‐ann Larkins, Michael R. Doran

2022 · 10 Zit.

Augmented intelligence in precision medicine: Transforming clinical decision‐making with AI/ML and/or quantitative systems pharmacology models

Sai Phanindra Venkatapurapu, Megan Gibbs, Holly Kimko

2024 · 4 Zit.

Clinical trials, real-world evidence, and digital medicine

Jim Weatherall, Faisal M. Khan, Mishal Patel et al.

2021 · 4 Zit.

Can machine learning augment clinician adjudication of events in cardiovascular trials? A case study of major adverse cardiovascular events (MACE) across CVRM trials

Halsey Lea, Elizabeth Hutchinson, AP Meeson et al.

2021 · 3 Zit.

Deep learning model for prenatal congenital heart disease (CHD) screening generalizes to the community setting and outperforms clinical detection

Chinmayee Athalye, A. van Nisselrooij, Sara Rizvi et al.

2023 · 2 Zit.

Analytical and Clinical Validation

Nicholas Petrick, Qin Li, Marios A. Gavrielides et al.

2021 · 1 Zit.

The AI revolution: how multimodal intelligence will reshape the oncology ecosystem

David Dellamonica, David Ruau, B Griffiths et al.

2025 · 1 Zit.

Artificial intelligence and clinical guidelines to find at-risk COPD patients for treatment optimisation

Alex Veldman, Jad El Khoury, Norbert Feigler et al.

2025 · 0 Zit.

Harnessing Artificial Intelligence (AI) and Clinical Guidelines to Identify At-Risk Patients with CKD and Optimize Management of CKD

Pooja N. Desai, Alex Veldman, Elmas Malvolti et al.

2025 · 0 Zit.

Will AI Hasten a Fusion of Pathology and Radiology for Cancer Research, Diagnosis, and Drug Development?

Qin Li, Laura W. Dillon, Jason Hipp

2021 · 0 Zit.

MSR95 Evaluating the Performance of a Supervised Artificial Intelligence Model in Screening Abstracts for Oncology-Focused Targeted Literature Reviews

Arunangshu Ghosh, Tushar Pyne, Aniket Das et al.

2025 · 0 Zit.