Flexible, Integrated‐Porous Microneedle Sensor for Biofluid Sampling and On‐Site Biomarker Detection
A paper‐integrated porous PGA microneedle array patch capable of both high strength and absorption capacity is proposed. With an image‐processing system, an optimized colorimetric sensor achieves a low limit of detection of 0.09 mm in cholesterol.
Haitao Deng +3 more
wiley +1 more source
Risk prediction models for sarcopenia in maintenance hemodialysis patients: a systematic review and meta-analysis. [PDF]
Chen L +6 more
europepmc +1 more source
Statistical inference in logistic regression model with immune fraction
Aba Diop
openalex +1 more source
BLOC: Buildable and Linkable Organ on a Chip
We developed a “Buildable and Linkable Organ on a Chip” (BLOC) that can construct diverse microphysiological systems (MPSs). The BLOC is standardized to the same size and has one of the functions of “Culture,” “Control,” or “Analysis.” Users can freely configure various MPSs, including developing perfusion, cytotoxicity analysis, and biochemical ...
Yusuke Kimura +7 more
wiley +1 more source
Machine learning model integrating radiomics and clinical features for predicting postoperative bleeding after percutaneous nephrolithotomy. [PDF]
Zou XC +5 more
europepmc +1 more source
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Evaluating zero-shot prediction of monomeric protein design success by AlphaFold, ESMFold, and ProteinMPNN. [PDF]
Garcia M, Dixit SM, Rocklin GJ.
europepmc +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
Development of an explainable machine learning model for predicting poststroke anxiety: A multicenter study using Shapley Additive Explanations and nomogram visualization. [PDF]
Lyu M, Xie Y, Li M, Hölscher C, Shen X.
europepmc +1 more source
Liquid Metal Sensors for Soft Robots
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 +7 more
wiley +1 more source

