Roche (Switzerland)

Generative artificial intelligence empowers digital twins in drug discovery and clinical trials

Maria Bordukova, Nikita Makarov, Raul Rodriguez‐Esteban et al.

2023 · 190 Zit.

Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations

Joseph Alderman, Joanne Palmer, Elinor Laws et al.

2024 · 101 Zit.

Enabling Data-Driven Clinical Quality Assurance: Predicting Adverse Event Reporting in Clinical Trials Using Machine Learning

Timothé Ménard, Yves Barmaz, Björn Koneswarakantha et al.

2019 · 54 Zit.

Personalized Health Care and Public Health in the Digital Age

Oliver Y. Chén, Bryn Roberts

2021 · 39 Zit.

A review on federated learning in computational pathology

Lydia A. Schoenpflug, Yao Nie, Fahime Sheikhzadeh et al.

2024 · 20 Zit.

Data-driven federated learning in drug discovery with knowledge distillation

Thierry Hanser, Ernst Ahlberg, Alexander Amberg et al.

2025 · 20 Zit.

Large language models forecast patient health trajectories enabling digital twins

Nikita Makarov, Maria Bordukova, Papichaya Quengdaeng et al.

2025 · 14 Zit.

How much can we save by applying artificial intelligence in evidence synthesis? Results from a pragmatic review to quantify workload efficiencies and cost savings

Ṣẹ̀yẹ Abògúnr̀in, Jeffrey M. Muir, Clarissa Zerbini et al.

2025 · 13 Zit.

Tackling Algorithmic Bias and Promoting Transparency in Health Datasets: The STANDING Together Consensus Recommendations

Joseph Alderman, Joanne Palmer, Elinor Laws et al.

2024 · 13 Zit.

Digital Health

Alison Hellmann, Ashley Emmons, Matthew Prime et al.

2023 · 9 Zit.

irAE-GPT: Leveraging large language models to identify immune-related adverse events in electronic health records and clinical trial datasets

Cosmin A. Bejan, Michelle Wang, Sriram Venkateswaran et al.

2025 · 9 Zit.

Large Language Models forecast Patient Health Trajectories enabling Digital Twins

Nikita Makarov, Maria Bordukova, Raul Rodriguez‐Esteban et al.

2024 · 9 Zit.

Advancements of Artificial Intelligence in Liver-Associated Diseases and Surgery

Anas Taha, Vincent Ochs, Leos N. Kayhan et al.

2022 · 9 Zit.

Generative AI and digital twins: shaping a paradigm shift from precision to truly personalized medicine

Maria Bordukova, Alina J. Arneth, Nikita Makarov et al.

2025 · 7 Zit.

Artificial Intelligence (AI) Facts Labels: An Innovative Disclosure Tool Promoting Patient-Centric Transparency in Healthcare AI Systems

Katrina A. Bramstedt

2025 · 7 Zit.