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

FDA Modernization Act 2.0 allows for alternatives to animal testing

(2023) Jason J. Han   ARTIFICIAL ORGANS

Data‐driven prediction models for forecasting multistep ahead profiles of mammalian cell culture toward bioprocess digital twins

(2023) Seo‐Young Park et al.   BIOTECHNOLOGY AND BIOENGINEERING

Systems‐based digital twins to help characterize clinical dose–response and propose predictive biomarkers in a Phase I study of bispecific antibody, mosunetuzumab, in NHL

(2023) Monica E. Susilo et al.   CTS-Clinical and Translational Science

Predicting cellular responses to complex perturbations in high‐throughput screens

(2023) Mohammad Lotfollahi et al.   Molecular Systems Biology

Diffusion Models in Vision: A Survey

(2023) Florinel-Alin Croitoru et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Predicting transcriptional outcomes of novel multigene perturbations with GEARS

(2023) Yusuf Roohani et al.   NATURE BIOTECHNOLOGY

A deep generative model of 3D single-cell organization

(2022) Rory M. Donovan-Maiye et al.   PLoS Computational Biology

Deep learning-based surrogate model for 3-dimensional patient-specific computational fluid dynamics

(2022) Pan Du et al.   PHYSICS OF FLUIDS

Digital Twins in Healthcare: Is It the Beginning of a New Era of Evidence-Based Medicine? A Critical Review

(2022) Patrizio Armeni et al.   Journal of Personalized Medicine

Evaluating Digital Twins for Alzheimer’s Disease using Data from a Completed Phase 2 Clinical Trial

(2022) Jonathan R. Walsh et al.   Alzheimers & Dementia

The role of AI for developing digital twins in healthcare: The case of cancer care

(2022) Rohit Kaul et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Digital Twins for Tissue Culture Techniques—Concepts, Expectations, and State of the Art

(2021) Johannes Möller et al.   Processes

GANDA: A deep generative adversarial network conditionally generates intratumoral nanoparticles distribution pixels-to-pixels

(2021) Yuxia Tang et al.   JOURNAL OF CONTROLLED RELEASE

The role of machine learning in clinical research: transforming the future of evidence generation

(2021) E. Hope Weissler et al.   Trials

A Digital Twins Machine Learning Model for Forecasting Disease Progression in Stroke Patients

(2021) Angier Allen et al.   Applied Sciences-Basel

Digital Twins: From Personalised Medicine to Precision Public Health

(2021) Maged N. Kamel Boulos et al.   Journal of Personalized Medicine

Forecasting progression of mild cognitive impairment (MCI) and Alzheimer’s disease (AD) with digital twins

(2021) Daniele Bertolini et al.   Alzheimers & Dementia

Tox-GAN: An Artificial Intelligence Approach Alternative to Animal Studies—A Case Study With Toxicogenomics

(2021) Xi Chen et al.   TOXICOLOGICAL SCIENCES

Clinical impact of Sim & Size® simulation software in the treatment of patients with cerebral aneurysms with flow-diverter Pipeline stents

(2021) Daniel Mantilla et al.   INTERVENTIONAL NEURORADIOLOGY

Possible Contexts of Use for In Silico Trials Methodologies: A Consensus-Based Review

(2021) Marco Viceconti et al.   IEEE Journal of Biomedical and Health Informatics

Predicting cell lineages using autoencoders and optimal transport

(2020) Karren Dai Yang et al.   PLoS Computational Biology

Online Patient Recruitment in Clinical Trials: A Systematic Review and Meta Analysis (Preprint)

(2020) Mette Brøgger-Mikkelsen et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Digital Twin for Drug Discovery and Development—The Virtual Liver

(2020) Kalyanasundaram Subramanian   JOURNAL OF THE INDIAN INSTITUTE OF SCIENCE

Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing

(2019) Brett K. Beaulieu-Jones et al.  

scGen predicts single-cell perturbation responses

(2019) Mohammad Lotfollahi et al.   NATURE METHODS

MildInt: Deep Learning-Based Multimodal Longitudinal Data Integration Framework

(2019) Garam Lee et al.   Frontiers in Genetics

Image generation by GAN and style transfer for agar plate image segmentation

(2019) Paolo Andreini et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Rethinking drug design in the artificial intelligence era

(2019) Petra Schneider et al.   NATURE REVIEWS DRUG DISCOVERY

Credibility of In Silico Trial Technologies—A Theoretical Framing

(2019) Marco Viceconti et al.   IEEE Journal of Biomedical and Health Informatics

Mechanistic models versus machine learning, a fight worth fighting for the biological community?

(2018) Ruth E. Baker et al.   Biology Letters

Estimation of clinical trial success rates and related parameters

(2018) Chi Heem Wong et al.   BIOSTATISTICS

In silico clinical trials: concepts and early adoptions

(2018) Francesco Pappalardo et al.   BRIEFINGS IN BIOINFORMATICS

Multimodal Machine Learning: A Survey and Taxonomy

(2018) Tadas Baltrusaitis et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Artificial intelligence in drug development: present status and future prospects

(2018) Kit-Kay Mak et al.   DRUG DISCOVERY TODAY

Master Protocols to Study Multiple Therapies, Multiple Diseases, or Both

(2017) Janet Woodcock et al.   NEW ENGLAND JOURNAL OF MEDICINE

Deep learning for computational biology

(2016) Christof Angermueller et al.   Molecular Systems Biology

Deep learning

(2015) Yann LeCun et al.   NATURE

Single-cell analysis tools for drug discovery and development

(2015) James R. Heath et al.   NATURE REVIEWS DRUG DISCOVERY

The Living Heart Project: A robust and integrative simulator for human heart function

(2014) Brian Baillargeon et al.   EUROPEAN JOURNAL OF MECHANICS A-SOLIDS

A practical approach to parameter estimation applied to model predicting heart rate regulation

(2012) Mette S. Olufsen et al.   JOURNAL OF MATHEMATICAL BIOLOGY