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Showing 1–6 of 6 results

Advanced filters: Author: Anshul Thakur Clear advanced filters

A collaborative large language model for drug analysis

DrugGPT outperforms existing LLMs to answer questions related to drug interactions and recommendations.

Hongjian Zhou
Fenglin Liu
David A. Clifton
ResearchOpen Access23 Sept 2025
Nature Biomedical Engineering

P: 1-12
Data encoding for healthcare data democratization and information leakage prevention

Healthcare data democratization is often hampered by privacy constraints governing the sensitive healthcare data. Here, the authors show that encoding healthcare data could be a potential solution for achieving healthcare democratization within the context of deep learning.

Anshul Thakur
Tingting Zhu
David A. Clifton
ResearchOpen Access21 Feb 2024
Nature Communications

Volume: 15, P: 1-13
Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare

Anshul Thakur
Soheila Molaei
David A. Clifton
Amendments and CorrectionsOpen Access21 Nov 2024
npj Digital Medicine

Volume: 7, P: 1
External validation of AI models in health should be replaced with recurring local validation

Alexey Youssef
Michael Pencina
Nigam H. Shah
Correspondence18 Oct 2023
Nature Medicine

Volume: 29, P: 2686-2687
Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare

Anshul Thakur
Soheila Molaei
David A. Clifton
ResearchOpen Access16 Oct 2024
npj Digital Medicine

Volume: 7, P: 1-14
A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis

Fenglin Liu
Zheng Li
David A. Clifton
ResearchOpen Access06 Feb 2025
npj Digital Medicine

Volume: 8, P: 1-12