Results 101 to 110 of about 69,991 (228)

Multitasking Smart Intestinal Capsule Robot: A Cutting‐Edge Platform for Sampling, Diagnosis, and Therapy

Advanced Robotics Research, EarlyView.
Gut microbiota and biomarkers are linked to diseases like neurological disorders and metabolic syndromes. Ingestible capsule robots enable minimally invasive gut health assessment. This article proposes a promising direction for the advancement of capsule robots, integrating in situ sampling, real‐time diagnostics, and personalized therapy.
Xizong Chen, Libing Huang, Lei Ren, Miao Wang   +3 more
wiley   +1 more source

Prediction of reproductive and developmental toxicity using an attention and gate augmented graph convolutional network

Scientific Reports
Due to the diverse molecular structures of chemical compounds and their intricate biological pathways of toxicity, predicting their reproductive and developmental toxicity remains a challenge.
Si Hoon Lee, Eunwoo Choi, JunHo Park, Seohwi Yoon, Myung-Ha Song, Ji Young Lee, Jungkwan Seo, Sun Kyung Shin, Sang Hee Lee, Han Bin Oh   +9 more
doaj   +1 more source

An integrated approach to predict activators of NRF2 - the transcription factor for oxidative stress response

Artificial Intelligence in the Life Sciences
A variety of environmental and physiological conditions can cause oxidative stress that damage cellular components such as DNA, proteins and lipids.
Yaroslav Chushak, Rebecca A. Clewell
doaj   +1 more source

Using NLG to Manage Information in Medical Emergencies [PDF]

, 2011
Peer reviewedPublisher ...
Kindness, Peter Alasdair, Knight, Jonathan, Mellish, Christopher Stuart, Mort, Alasdair James, Nguyen, Hien, Reiter, Ehud Baruch   +5 more
core   +1 more source

Liquid Metal Sensors for Soft Robots

Advanced Robotics Research, EarlyView.
This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang, Nan Li, Yujia Song, Chen Hua, Tangzhen Guan, Yibing Ma, Cai Cheng, Jing Liu   +7 more
wiley   +1 more source

Real-Time Prediction of S-Wave Accelerograms from P-Wave Signals Using LSTM Networks with Integrated Fragility-Based Structural Damage Alerts for Induced Seismicity

Applied Sciences
Early warning of structural damage from induced seismic events requires rapid and reliable ground motion forecasting. This study presents a novel real-time framework that couples a deep learning approach with structural fragility assessment to generate ...
Konstantinos G. Megalooikonomou, Grigorios N. Beligiannis   +1 more
doaj   +1 more source

Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots

Advanced Robotics Research, EarlyView.
Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
wiley   +1 more source

Generative Artificial Intelligence and Machine Translators in Spanish Translation of Early Vulnerability Cybersecurity Alerts

Applied Sciences
The increasing reliance on artificial intelligence in cybersecurity has broadened the role of generative artificial intelligence in tasks such as text generation and translation. This study assesses the effectiveness of generative artificial intelligence
Javier Román Martínez, David Triana Robles, Mouhcine El Oualidi Charchmi, Ines Salamanca Estévez, Noemí DeCastro-García   +4 more
doaj   +1 more source

Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling

Advanced Robotics Research, EarlyView.
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou, Eran Beeri Bamani, Joao Buzzatto, Bryan Busby, Lucas Ferrari Gerez   +4 more
wiley   +1 more source

ToxBERT: An explainable AI framework for enhancing prediction of adverse drug reactions and structural insights

Journal of Pharmaceutical Analysis
Accurate prediction of drug-induced adverse drug reactions (ADRs) is crucial for drug safety evaluation, as it directly impacts public health and safety.
Yujie He, Xiang Lv, Wulin Long, Shengqiu Zhai, Menglong Li, Zhining Wen   +5 more
doaj   +1 more source