iMetaMed, EarlyView.Artificial intelligence (AI) technology is revolutionizing antimicrobial drug development. In response to increasingly severe antimicrobial resistance challenges, AI can efficiently predict pathogen evolutionary trends, identify potential drug targets, and accelerate compound design and optimization, thereby significantly shortening the development ...
Kexin Li +6 more
wiley +1 more source
Multimodal artificial intelligence technology in the precision diagnosis and treatment of gastroenterology and hepatology: Innovative applications and challenges. [PDF]
World J GastroenterolWu YM, Tang FY, Qi ZX.
europepmc +1 more source
Multimodal Biometrics for Robust Fusion Systems using Logic Gat es
, 2015 Celik N Manivannan N
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InfoMat, EarlyView.This work introduces a self‐powered rehabilitation sensor using a Kresling‐structured TPU substrate with integrated TENGs and EMGs for high‐sensitivity motion detection. By combining AIoT technologies and machine learning, it enables immersive, personalized rehabilitation with over 98% accuracy in identity verification, limb and wrist motion monitoring,
Liang Xu +8 more
wiley +1 more source
SegGen: An Unreal Engine 5 Pipeline for Generating Multimodal Semantic Segmentation Datasets. [PDF]
Sensors (Basel)McMillen J, Yilmaz Y.
europepmc +1 more source
Artificial intelligence agents in orthopaedics: Concepts, capabilities and the road ahead
Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.Abstract Artificial intelligence (AI) is increasingly used in orthopaedics, yet current models are often limited to narrow, isolated tasks like analysing an X‐ray or predicting a single outcome. This paper introduces AI agents—a new class of AI systems designed to overcome these limitations. Unlike traditional AI, agents can autonomously manage complex,
Felix C. Oettl +9 more
wiley +1 more source
Integrating phytoplankton phenology, traits, and model‐data fusion to advance bloom prediction
Limnology and Oceanography Letters, EarlyView.Abstract While there is a diversity of approaches for modeling phytoplankton blooms, their accuracy in predicting the onset and manifestation of a bloom is still lagging behind what is needed to support effective management. We outline a framework that integrates trait theory and ecosystem modeling to improve bloom prediction.
Matthew R. Hipsey +6 more
wiley +1 more source
Efficient hybrid fuzzy weighted 3D FCNN with TSO PSO optimization for accurate multi modal MRI brain tumor classification. [PDF]
Sci RepFeng L, Hao G, Jian W.
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Movement Disorders Clinical Practice, EarlyView.Abstract Background The digitized Archimedes spiral drawing test (DAST) provides an objective approach for assessing tremor in Parkinson's disease (PD) and essential tremor (ET). Despite its growing adoption in patient care settings and clinical research, the measurement properties of the digitized spiral drawing test beyond tremor are underexplored ...
Stella Wang +4 more
wiley +1 more source
Intelligent deep learning model for recommending ideological and political music education resources. [PDF]
Sci RepZhang L.
europepmc +1 more source