Results 241 to 250 of about 199,526 (288)

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz   +2 more
wiley   +1 more source

Battlefield Neck Injuries: Contemporary Insights From the Israeli National Trauma Registry. [PDF]

open access: yesJ Am Coll Emerg Physicians Open
Tsur N   +9 more
europepmc   +1 more source

Toward Autonomous Self‐Healing in Soft Robotics: A Review and Perspective for Future Research

open access: yesAdvanced Intelligent Systems, EarlyView.
In this article, five different phases (damage detection, cleaning, damage closure, material healing, and healing assessment) are investigated to have an autonomous self‐healing at the system level with the focus on soft robotics. It delves into the importance of each phase, why and where they matter, and reviews relevant technologies that enable ...
Seyedreza Kashef Tabrizian   +2 more
wiley   +1 more source

A novel method of airway management in a case of penetrating neck injury.

open access: yesIndian J Anaesth, 2016
Kulkarni M, Prabhu M, Maddineni S.
europepmc   +1 more source

A Soft Pneumatic Exosuit to Assist Pronosupination in Individuals with Spinal Cord Injury

open access: yesAdvanced Intelligent Systems, EarlyView.
A lightweight (30 g) textile‐based pneumatic exosuit assists forearm pronosupination in individuals with cervical spinal cord injury. The soft robot enhances forearm range of motion and reduces muscle effort without hindering hand function. Tested in 10 patients during an interactive exergame, it improves motor performance and demonstrates promise for ...
Roberto Ferroni   +10 more
wiley   +1 more source

Clinlabomics‐Enabled Blending Ensemble Learning for Low‐Cost Pan‐Cancer Detection and Classification Using Routine Clinical Laboratory Data

open access: yesAdvanced Intelligent Systems, EarlyView.
Researchers develop clinlabomics assisted for cancer identification, an artificial intelligence‐powered system using routine clinical lab data to detect and identify 10 cancer types. Tested on 19 199 individuals, it achieves 90.39% sensitivity and 82.41% specificity in cancer detection, with 72.57% accuracy in identifying specific cancer types ...
Bowen Zhang   +9 more
wiley   +1 more source

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