Researchers develop first gas-solid hydride ion battery for efficient ambient hydrogen storage
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Updates every hour. Last Updated: 27-Oct-2026 09:16 ET (27-Oct-2026 13:16 GMT/UTC)
A recent comprehensive review highlights that artificial intelligence, by integrating multiscale data from wearables, multiomics, imaging and largescale cohorts, can finally turn the “exercise is medicine” slogan into truly individualized clinical practice. This openaccess article entitled “Artificial intelligenceempowered multiscale data integration for precision exercise biomedicine” (DOI: 10.1515/teb20260009), was published in Translational Exercise Biomedicine (ISSN: 2942-6812), an official partner journal of International Federation of Sports Medicine (FIMS).
A research paper by scientists from Beijing University of Posts and Telecommunications designed a multimodal controller termed the tactile, kinesthetic, and electromyography (EMG) bionic gripping controller (TKE-BGC).
The new research paper, published on May. 13 in the journal Cyborg and Bionic Systems, developed a bioinspired control framework that dramatically improves prosthetic hand stability during such dynamic tasks.
A research paper by scientists from Capital Medical University proposed a diffusion tensor imaging (DTI)-based DenseNet to identify SVCI from subcortical ischemic vascular disease (SIVD) and to profile multidomain cognitive risks.
The new research paper, published on May. 13 in the journal Cyborg and Bionic Systems, developed a deep‑learning framework that uses routine diffusion tensor imaging to both identify SVCI and profile an individual’s domain‑specific cognitive weaknesses.