EEG imagined speech neuro-signal preprocessing and deep learning classification. [PDF]
Elwasify F, Shaaban E, Abdelmoneem RM.
europepmc +1 more source
A coherent phthalimide acceptor platform with planar (Cz—carbazole) and spiro‐type (SAF—spiroacridine fluorene) donors enables systematic tuning of donor geometry and coupling, driving the evolution of excited‐state topology from classical CT‐TADF and fluorescence/RTP to CT‐driven and LE‐assisted TADF with OLED efficiencies ≈ 36%.
Christopher Anton Wallerius +8 more
wiley +1 more source
A hybrid learning framework for automated multiclass electrocardiogram classification with SimCardioNet. [PDF]
Majid MD +6 more
europepmc +1 more source
From Rigid to Soft Robotic Approaches for Neuroendoscopy
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday +3 more
wiley +1 more source
Attitudes of Men Who Have Sex With Men Toward HIV Functional Cure: Community-Based Study. [PDF]
Wong NS, Chung SL, Kwan TH, Lee SS.
europepmc +1 more source
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 +13 more
wiley +1 more source
Mapping the regulatory landscape for environmental sustainability of medical device practices within the European Union. [PDF]
Zarro M +4 more
europepmc +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
LeafFusionNet: a hybrid deep learning approach for robust plant disease detection. [PDF]
Das S, Prethija G, Sudha C.
europepmc +1 more source
Toward Wireless Implantable Robotic Systems Driven by Magnetic Field for Personalized Therapy
Robotic materials are playing an increasingly vital role in enabling sensing and actuation at small scales. This perspective highlights recent advances in magnetic materials and magnetically actuated devices for wireless sensing, actuation, and energy harvesting toward implantable robotic systems for closed‐loop therapy.
Yusheng Wang, Ruijian Ge, Xiaoguang Dong
wiley +1 more source

