Current Progress of Digital Twin Construction Using Medical Imaging

F Zhao, Y Wu, M Hu, CW Chang, R Liu, R Qiu… - arXiv preprint arXiv …, 2024 - arxiv.org
Medical imaging has played a pivotal role in advancing and refining digital twin technology,
allowing for the development of highly personalized virtual models that represent human …

Computational Phenomapping of Randomized Clinical Trials to Enable Assessment of their Real-world Representativeness and Personalized Inference

PM Thangaraj, EK Oikonomou, LS Dhingra… - medRxiv, 2024 - medrxiv.org
ABSTRACT Importance Randomized clinical trials (RCTs) are the standard for defining an
evidence-based approach to managing disease, but their generalizability to real-world …

All Together Now: Data Work to Advance Privacy, Science, and Health in the Age of Synthetic Data

L Fernández-Rhodes, JK Wagner - … 2025: Proceedings of the …, 2024 - World Scientific
There is a disconnect between data practices in biomedicine and public understanding of
those data practices, and this disconnect is expanding rapidly every day (with the …

Artificial Intelligence and Machine Learning: Technologies Revolutionizing the Healthcare Sector and Biomedical Research

K Sargsyan - Innovations in Digital Health, Diagnostics …, 2024 - meridian.allenpress.com
BACKGROUND Innovations in Digital Health, Diagnostics, and Biomarkers emphasizes the
crossroads of artificial intelligence (AI) and healthcare/medicine, targeting the verbalization …

Predicting physical performance after training: insights from machine learning using small samples

L Vos, R Vergeer, R Goulding, G Weide, J de Koning… - 2024 - researchsquare.com
Background Performance optimization is a major goal in sports science. However, this
remains difficult due to the small samples and large individual variation in physiology and …