Results 171 to 180 of about 7,281,808 (291)

Functional Fibers in Soft Robotics: Advances in Material, Structural, and Systemic Tactics

open access: yesAdvanced Robotics Research, EarlyView.
Fiber‐form robotic systems offer a scalable pathway toward embodied intelligence in soft robotics. This review surveys functional fibers as material, structural, and systemic elements, highlighting advances in responsive materials, architectural programing, and fabrication strategies.
Joonhee Won   +5 more
wiley   +1 more source

Intelligent Micro/Nanorobots for Targeted Interventional Therapy: From Bench to Clinic

open access: yesAdvanced Robotics Research, EarlyView.
Zirui Zhang et al. reviewed the application and challenges of mobile nanomachines in interventional therapy. By converting exogenous energy, including chemical, magnetic, optical, and ultrasonic sources, into mechanical forces, micro/nanorobots (MNRs) enable precise actuation at unprecedented scales. Evolving far beyond traditional drug delivery, these
Zirui Zhang   +5 more
wiley   +1 more source

Cell‐Based Biohybrid Micro/Nanorobots for Biotherapy

open access: yesAdvanced Robotics Research, EarlyView.
This review systematically evaluates cell‐based biohybrid micro/nanorobots (CB‐BMRs), highlighting their cell selection criteria, fabrication strategies, and diverse actuation modes. Furthermore, it surveys the promising therapeutic applications of CB‐BMRs in targeted cancer, thrombosis, and inflammation treatments, while comprehensively discussing ...
Lin Wang   +11 more
wiley   +1 more source

Host Genetics of Infectious Diseases: Old and New Approaches Converge

open access: yesEmerging Infectious Diseases, 1998
Adrian V.S. Hill
doaj   +1 more source

Outcome of treatment with trametinib in adults with histiocytic neoplasms in the United Kingdom. [PDF]

open access: yesBr J Haematol
Amerikanou R   +15 more
europepmc   +1 more source

Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences

open access: yesAdvanced Science, EarlyView.
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu   +7 more
wiley   +1 more source

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