Highly packable and deployable electronics offer a variety of advantages in electronics and robotics by facilitating spatial efficiency. These electronics must endure extreme folding during packaging and tension to maintain a rigid structure in the deployment state. Here, we present foldable and robustly deployable electronics inspired by Plantago, characterized by their tolerance to folding and tension due to integration of tough veins within thin leaf. The primary design approach for these electronics involves a high resistance to folding and tension, achieved through a thin multilayered electronic composite, which manages the neutral axis and incorporates tough Kevlar. The fabricated electronics can be folded up to 750,000 times without malfunctions and endure pulling an object 6667 times heavier than itself without stretching. Such robust electronics can be used as a deployable robot with sensor arrays, demonstrating practical applicability, as it maintains their mechanical and electrical properties during inflation from the packaged state.
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http://dx.doi.org/10.1126/sciadv.adr3654 | DOI Listing |
Biosens Bioelectron
January 2025
Department of Physics, Virginia Commonwealth University, Richmond, VA, 23284, USA; Institute for Sustainable Energy and Environment, Virginia Commonwealth University, Richmond, VA, 23284, USA. Electronic address:
Wearable devices designed for the somatosensory system aim to provide event-cue feedback electronics and therapeutic stimulation to the peripheral nervous system. This prompts a neurological response that is relayed back to the central nervous system. Unlike virtual reality tools, these devices precisely target peripheral mechanoreceptors by administering specific stimuli.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Univ Rennes, CHU Rennes, INSERM, LTSI - UMR 1099, F-35000 Rennes, France.
Background: To reduce the mortality related to bladder cancer, efforts need to be concentrated on early detection of the disease for more effective therapeutic intervention. Strong risk factors (eg, smoking status, age, professional exposure) have been identified, and some diagnostic tools (eg, by way of cystoscopy) have been proposed. However, to date, no fully satisfactory (noninvasive, inexpensive, high-performance) solution for widespread deployment has been proposed.
View Article and Find Full Text PDFSci Adv
January 2025
Multiscale Bio-inspired Technology Lab, Department of Mechanical Engineering, Ajou University, 206 World cup-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do 16499, South Korea.
Highly packable and deployable electronics offer a variety of advantages in electronics and robotics by facilitating spatial efficiency. These electronics must endure extreme folding during packaging and tension to maintain a rigid structure in the deployment state. Here, we present foldable and robustly deployable electronics inspired by Plantago, characterized by their tolerance to folding and tension due to integration of tough veins within thin leaf.
View Article and Find Full Text PDFFront Plant Sci
January 2025
Research Center for Agricultural Monitoring and Early Warning, Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing, China.
As the source of data acquisition, sensors provide basic data support for crop planting decision management and play a foundational role in developing smart planting. Accurate, stable, and deployable on-site sensors make intelligent monitoring of various planting scenarios possible. Recent breakthroughs in plant advanced sensors and the rapid development of intelligent manufacturing and artificial intelligence (AI) have driven sensors towards miniaturization, intelligence, and multi-modality.
View Article and Find Full Text PDFBiochim Biophys Acta Mol Basis Dis
January 2025
AIBioMed Research Group, Taipei Medical University, Taipei 110, Taiwan; In-Service Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan; Translational Imaging Research Center, Taipei Medical University Hospital, Taipei 110, Taiwan. Electronic address:
The convergence of artificial intelligence (AI) and genomics is redefining cancer drug discovery by facilitating the development of personalized and effective therapies. This review examines the transformative role of AI technologies, including deep learning and advanced data analytics, in accelerating key stages of the drug discovery process: target identification, drug design, clinical trial optimization, and drug response prediction. Cutting-edge tools such as DrugnomeAI and PandaOmics have made substantial contributions to therapeutic target identification, while AI's predictive capabilities are driving personalized treatment strategies.
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