Biomimetic artificial muscle advances volumetric muscle loss treatment and prosthetic application
Peer-Reviewed Publication
Updates every hour. Last Updated: 2-Jul-2025 01:10 ET (2-Jul-2025 05:10 GMT/UTC)
Researchers have developed a biomimetic artificial muscle that replicates the structure and mechanical properties of natural muscle tissue, offering a promising solution for volumetric muscle loss treatment. Published in National Science Review, the study highlights the material's superior biocompatibility, mechanical adaptability, and multifunctionality. The artificial muscle promotes myogenic differentiation, enhances angiogenesis, and demonstrates exceptional actuation performance, making it a viable candidate for applications in prosthetics and regenerative medicine. This innovation sets the stage for new directions in clinical treatments and advanced biomedical materials.
New Haven, Conn. — In 2020, the federal minimum age for buying tobacco products was officially raised from 18 to 21 as an increasing number of states and localities across the country sought to raise the age for tobacco purchases to protect the health of young adults.
One of the driving factors behind the change was a 2015 report from the National Academy of Medicine (NAM) that found that a federal Tobacco 21 (T21) law could prevent as many as 249,000 deaths through the year 2100.
A new study led by Yale researchers with the Cancer Intervention and Surveillance Modeling Network (CISNET) Lung Working Group has now determined that the NAM report grossly underestimated the number of averted deaths. The findings significantly amplify the potential impact of the T21 law and provide important new information for future state and local policy discussions surrounding tobacco regulation and public health.
New Haven, Conn. — Lissencephaly is a spectrum of rare, genetic disorders in which the brain fails to develop its hallmark folds. The disorders are often associated with seizures and intellectual disability and currently there are no available treatments.
A new Yale study, however, has identified a molecular mechanism that underlies some lissencephaly disorders — and a drug that prevents and reverses lissencephaly malformations in organoids (small, three-dimensional replicas of developing brains that allow scientists to study early brain development).
The findings, reported Jan. 1 in Nature, may point to a target for treatment, researchers say.
“Lissencephaly belongs to a group of disorders we call malformations of cortical development, meaning the normal development and structure of the brain is disrupted,” said Angeliki Louvi, professor of neurosurgery and of neuroscience at Yale School of Medicine (YSM) and co-senior author of the study. “They come about because certain genes that are very important for brain development are affected by rare mutations.”
Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the result of AutoPET, an international competition in medical image analysis, where researchers of Karlsruhe Institute of Technology (KIT) were ranked fifth. The seven best autoPET teams report in the journal Nature Machine Intelligence on how algorithms can detect tumor lesions in positron emission tomography (PET) and computed tomography (CT). (DOI: 10.1038/s42256-024-00912-9)