Virtual twins and the future of human developmental biology.

IF 4.4 2区生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY

NPJ Systems Biology and Applications Pub Date : 2026-06-23 DOI:10.1038/s41540-026-00771-7

Maria Abou Chakra, Nika Shakiba

引用次数: 0

Abstract

Human development begins with a zygote, yet how this cell forms complex tissues remains a mystery. Progress has been limited by ethical constraints and scarce biological materials. Advances in stem-cell models and virtual twins are now transforming research, healthcare, and our understanding of development. Collaboration among scientists, ethicists, and policymakers is essential to responsibly advance these tools. The Virtual Human Development consortium will bridge experts to co‑develop a reliable simulation platform.

查看原文本刊更多论文

虚拟双胞胎和人类发育生物学的未来。

人类的发育始于一个受精卵，然而这个细胞如何形成复杂的组织仍然是个谜。进展受到伦理约束和生物材料稀缺的限制。干细胞模型和虚拟双胞胎的进步正在改变研究、医疗保健和我们对发育的理解。科学家、伦理学家和政策制定者之间的合作对于负责任地推进这些工具至关重要。虚拟人类发展联盟将在专家之间架起桥梁，共同开发一个可靠的仿真平台。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

NPJ Systems Biology and Applications Mathematics-Applied Mathematics

CiteScore

5.80

自引率

0.00%

发文量

审稿时长

8 weeks

期刊介绍： npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.