Results 171 to 180 of about 1,212,418 (284)

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source

Development of a robust corpus for automated evaluation of online health information in Chinese using the DISCERN scale. [PDF]

J Am Med Inform Assoc
E T, Li X, Liang J, Ma J, Fang Q, Chen S, Lei J, Chute CG.   +7 more
europepmc   +1 more source

AI‐Powered Framework for Evaluating Drug Efficacy for Three‐Dimensional In Vitro Cancer Models in Robot‐Assisted Production

Advanced Robotics Research, EarlyView.
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy, Jesus Nieves, Lukas Königer, Matthias Peindl, Fabio Erhard, Marc Möllmann, Anke Klingner, Markus Münig, Bibin Babu, Thomas Schwarz, Marco Metzger, Gudrun Dandekar, Maximiliane Wußmann, Jan Hansmann   +13 more
wiley   +1 more source

Machine Learning Prediction of Pharmacogenetic Testing Uptake Among Opioid-Prescribed Patients Using Electronic Health Records: Retrospective Cohort Study.

JMIR Med Inform
Yaseliani M, Hong JW, Bian J, Cavallari L, Duarte JD, Nelson D, Lo-Ciganic WH, Nguyen KA, Hasan MM.   +8 more
europepmc   +1 more source

Exploring the association between complete blood cell count-derived inflammatory biomarkers and cancer incidence through interpretable machine learning models: A study based on NHANES 1999 to 2016. [PDF]

Medicine (Baltimore)
Zhao S, Fu P, Lin L, Zhou H, Huang Y, Li Y, Tang C.   +6 more
europepmc   +1 more source

Reviewer #3 (Public Review): Lipid discovery enabled by sequence statistics and machine learning

Priya M. Christensen, Jonathan Martin, Aparna Uppuluri, Luke R. Joyce, Yahan Wei, Ziqiang Guan, Faruck Morcos, Kelli L. Palmer   +7 more
openalex   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

Clinical Application of Machine Learning Models for Early-Stage Chronic Kidney Disease Detection. [PDF]

Diagnostics (Basel)
Iftikhar H, Hashem AF, Qureshi M, Rodrigues PC.   +3 more
europepmc   +1 more source

Investigating Student Success Rates in Biomedical Engineering Education using Machine Learning and Descriptive Statistics

Dimitris Glotsos, Spiros Kostopoulos, P. Liaparinos   +2 more
openalex   +1 more source

A Self‐Healing Permanent Magnet Putty for Soft Robot Skins With Force Sensing and Functional Recovery

Advanced Robotics Research, EarlyView.
Permanent magnet putty (PMP) integrates high‐coercivity NdFeB particles with a dynamic polyborosiloxane–Ecoflex matrix, achieving rapid self‐healing (90% mechanical recovery in 10 s) and magnetic recovery within 20 min. With twice the sensitivity of commercial putties, PMP enables precise 5–30 N force detection and discrimination between pressing and ...
Ruotong Zhao, Mitsuhiro Kamezaki, Ryosuke Dobashi, Yuhiro Iwamoto, Yasushi Ido, Yoshihiro Kawahara   +5 more
wiley   +1 more source