Digital twins as global learning health and disease models for preventive and personalized medicine

Genome Medicine, Journal Year: 2025, Volume and Issue: 17(1)

Published: Feb. 7, 2025

Abstract Ineffective medication is a major healthcare problem causing significant patient suffering and economic costs. This issue stems from the complex nature of diseases, which involve altered interactions among thousands genes across multiple cell types organs. Disease progression can vary between patients over time, influenced by genetic environmental factors. To address this challenge, digital twins have emerged as promising approach, led to international initiatives aiming at clinical implementations. Digital are virtual representations health disease processes that integrate real-time data simulations predict, prevent, personalize treatments. Early applications DTs shown potential in areas like artificial organs, cancer, cardiology, hospital workflow optimization. However, widespread implementation faces several challenges: (1) characterizing dynamic molecular changes biological scales; (2) developing computational methods into DTs; (3) prioritizing mechanisms therapeutic targets; (4) creating interoperable DT systems learn each other; (5) designing user-friendly interfaces for clinicians; (6) scaling technology globally equitable access; (7) addressing ethical, regulatory, financial considerations. Overcoming these hurdles could pave way more predictive, preventive, personalized medicine, potentially transforming delivery improving outcomes.

Language: Английский

---

Self-driving laboratories, advanced immunotherapies and five more technologies to watch in 2025

Nature, Journal Year: 2025, Volume and Issue: 637(8047), P. 1008 - 1011

Published: Jan. 20, 2025

Language: Английский

---

Build the virtual cell with artificial intelligence: a perspective for cancer research

Military Medical Research, Journal Year: 2025, Volume and Issue: 12(1)

Published: Jan. 27, 2025

Language: Английский

---

Cancer drug resistance as learning of signaling networks

Biomedicine & Pharmacotherapy, Journal Year: 2025, Volume and Issue: 183, P. 117880 - 117880

Published: Jan. 29, 2025

Language: Английский

---

System level network data and models attack cancer drug resistance

British Journal of Pharmacology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

Drug resistance is responsible for >90% of cancer related deaths. Cancer drug a system level network phenomenon covering the entire cell. Small‐scale interactomes and signalling models guide directed development. Recently, proteome‐wide human interactome data have become available, which been extended by drug–target interactions, resistance‐inducing mutations, as well several resistance‐related multi‐omics datasets. System available examining therapy resistance, performing in silico clinical trials, conducting large, combination screens. interoperable reliable. These advances paved road building models.

Language: Английский

---

Interrogating nucleotide sequences with AI to understand codon usage patterns

Proceedings of the National Academy of Sciences, Journal Year: 2025, Volume and Issue: 122(7)

Published: Feb. 10, 2025

Language: Английский

---

With Release of First Virtual Cells, Chan Zuckerberg Initiative Begins Delivering on Its Artificial Intelligence Promises

GEN Biotechnology, Journal Year: 2025, Volume and Issue: 4(1), P. 7 - 10

Published: Feb. 1, 2025

Language: Английский

---

An initiative on Digital Nephrology: The Kidney Imageomics Project

National Science Review, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 21, 2025

Language: Английский

---

Large language model for knowledge synthesis and AI-enhanced biomanufacturing

Trends in biotechnology, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Large language models (LLMs) are transforming synthetic biology (SynBio) education and research. In this review we cover the advancements potential impacts of LLMs in biomanufacturing. First, summarize recent developments compare capabilities US Chinese addressing fundamental SynBio questions. Second, discuss application extracting information from unstructured data, constructing knowledge graphs, enabling retrieval-augmented generation. Third, anticipate that will not only revolutionize design-build-test-learn (DBTL) cycle metabolic modeling engineering but also enable self-driving laboratories future Finally, emphasize need for establishing benchmarks LLMs, fostering trustworthy synthesis, developing biosecurity frameworks to prevent misuse, encouraging collaboration among artificial intelligence (AI) scientists, researchers, bioprocess engineers.

Language: Английский

---

Necessity for modeling hormonal crosstalk in arabidopsis root development?

Trends in Plant Science, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

HighlightsPhytohormones play vital roles in root development. The activity of each hormone cannot change independently others. development mathematical models is required to understand their interplay.The necessity for modeling hormonal crosstalk Arabidopsis thaliana explored, and we discuss new insights that can be developed by artificial intelligence (AI). Important questions addressed include: regulation auxin biosynthesis cytokinin ethylene the simultaneous patterning auxin, cytokinin, ethylene? How does a given PIN-FORMED (PIN) other pin mutants, what role it ethylene-related gene expression related crosstalk?We propose one integrative model should integrate all experimental data elucidating growth.AbstractHormones plant Mathematical have been employed study functions. However, different research groups focus on aspects hormones therefore used growth as an system involves functions hormones. To use development, nature requires further interplay context diverse data. This opinion article discusses beyond We growth.

Language: Английский

---