A Low‐Cost, Handheld Optical Stiffness Sensor for Minimally Invasive Surgery
A novel handheld stiffness sensor is presented for real‐time tissue stiffness characterization. By simultaneously sensing contact force and tissue deformation, the device enables accurate stiffness quantification without requiring precise manual control. This approach offers a promising solution for intraoperative tumor detection and minimally invasive
Qianyu Ma +4 more
wiley +1 more source
Multimodal Learning of Protein-Protein Interactions for Accurate Binding Affinity Prediction. [PDF]
Mo J, Guo J, Duan H.
europepmc +1 more source
Intelligent Micro/Nanorobots for Targeted Interventional Therapy: From Bench to Clinic
Zirui Zhang et al. reviewed the application and challenges of mobile nanomachines in interventional therapy. By converting exogenous energy, including chemical, magnetic, optical, and ultrasonic sources, into mechanical forces, micro/nanorobots (MNRs) enable precise actuation at unprecedented scales. Evolving far beyond traditional drug delivery, these
Zirui Zhang +5 more
wiley +1 more source
Quantifying emotional resonance of cultural symbols across visual media: a multimodal learning approach for heritage tourism. [PDF]
Wu M, Zhang C, Lyu L, Jiang X.
europepmc +1 more source
Flexible Sensors for Robotics Tactile Perception: A Review
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley +1 more source
Text guided cross attentive multimodal learning with visual feature modulation for automated skin lesion detection. [PDF]
Suresh P, Keerthika P, Kumar ARN.
europepmc +1 more source
Sparse active‐infrared proximity sensing is coupled to an adaptive thigmotactic controller for camera‐inaccessible object retrieval. After grasping, receptor‐informed encoding transforms force, temperature, and wrist force–torque signals into spike trains for spiking neural network recognition.
Fengyi Wang, Nitish Thakor, Gordon Cheng
wiley +1 more source
Leveraging multimodal learning for enhanced drug-target interaction prediction. [PDF]
Chen G, Sun K.
europepmc +1 more source
TacVerse: A Multisensor Dataset and Benchmark for Cross‐Sensor Vision‐Based Tactile Perception
TacVerse provides a controlled benchmark of 106 800 tactile images from seven vision‐based tactile sensors across shape classification, grating classification, and force regression. Direct cross‐sensor transfer reveals substantial sensor‐shift degradation, with grating and force perception more affected than shape recognition.
Lan Wei +8 more
wiley +1 more source
Multimodal learning on heterogeneous subgraphs and LLMs representation for MHC-peptide binding affinity prediction. [PDF]
Li R, Wang Y, Li H, Zhou B, Peng Q.
europepmc +1 more source

