Generative artificial intelligence empowers digital twins in drug discovery and clinical trials
M Bordukova, N Makarov… - Expert Opinion on …, 2024 - Taylor & Francis
ABSTRACT Introduction The concept of Digital Twins (DTs) translated to drug development
and clinical trials describes virtual representations of systems of various complexities …
and clinical trials describes virtual representations of systems of various complexities …
Synthetic data in biomedicine via generative artificial intelligence
The creation and application of data in biomedicine and healthcare often face privacy
constraints, bias, distributional shifts, underrepresentation of certain groups and data …
constraints, bias, distributional shifts, underrepresentation of certain groups and data …
A digital twin model for evidence-based clinical decision support in multiple myeloma treatment
N Grieb, L Schmierer, HU Kim, S Strobel… - Frontiers in Digital …, 2023 - frontiersin.org
The treatment landscape for multiple myeloma (MM) has experienced substantial progress
over the last decade. Despite the efficacy of new substances, patient responses tend to still …
over the last decade. Despite the efficacy of new substances, patient responses tend to still …
Investigating predictors of progression from mild cognitive impairment to Alzheimer's disease based on different time intervals
Y Wu, X Wang, C Gu, J Zhu, Y Fang - Age and Ageing, 2023 - academic.oup.com
Background Mild cognitive impairment (MCI) is the early stage of AD, and about 10–12% of
MCI patients will progress to AD every year. At present, there are no effective markers for the …
MCI patients will progress to AD every year. At present, there are no effective markers for the …
Exploring the use of synthetic placebo populations in ALS randomized clinical trials
H Bowles, S Opie-Martin, A Shojaie, L Libonati… - medRxiv, 2022 - medrxiv.org
Objectives The use of synthetic data to supplement clinical trial placebo groups or for trial
planning is rapidly gaining interest. However, there is not yet an established framework for …
planning is rapidly gaining interest. However, there is not yet an established framework for …
Pharmacometrics and machine learning in drug development
Y Ryeznik, O Sverdlov - Artificial Intelligence for Drug Product Lifecycle …, 2025 - Elsevier
Modern drug development is increasingly complex and requires strategic application of
novel quantitative disciplines such as pharmacometrics (PMx) and machine learning (ML) …
novel quantitative disciplines such as pharmacometrics (PMx) and machine learning (ML) …
The Potential of Disease Progression Modeling to Advance Clinical Development and Decision Making
MS Starling, L Kehoe, BK Burnett, P Green… - Clinical Pharmacology … - Wiley Online Library
While some model‐informed drug development frameworks are well recognized as enabling
clinical trials, the value of disease progression modeling (DPM) in impacting medical …
clinical trials, the value of disease progression modeling (DPM) in impacting medical …
Use of Smart Clinical Trial Design in Promoting Digital Precision Health
H Miao, D Liu, J Wang - Available at SSRN 4973730 - papers.ssrn.com
Abstract The use of Sequential Multiple Assignment Randomized Trial (SMART) design in
digital precision health studies is gaining popularity due to its flexibility and efficiency …
digital precision health studies is gaining popularity due to its flexibility and efficiency …