Results 161 to 170 of about 582,090 (311)
An all‐in‐one microfluidic platform consists of two‐layered PDMS channels integrated with a hydrogel microwell array. This platform enables flow‐driven tumor cell capture, enhanced spheroid formation within the microwells, and advective drug testing. ABSTRACT Effective cancer drug screening requires platforms that replicate the physiological complexity
Omar M. Rahman +2 more
wiley +1 more source
Strength and Microstructural Characteristics of Fly Ash-Waste Glass Powder Ternary Blended Concrete. [PDF]
Yusuf MO +4 more
europepmc +1 more source
Fabrication, Properties, and Applications of Scaffolds for Bone Tissue Regeneration
This review explores cutting‐edge biomaterials and fabrication techniques for scaffolds in bone tissue regeneration. It conducts a critical comparison of various strategies, meticulously analyzes the key contradictions in the field, and outlines an integrated development path spanning from biomaterial selection to clinical application, while ...
Shangsi Chen, Min Wang
wiley +1 more source
Development of Iron-Silicate Composites by Waste Glass and Iron or Steel Powders. [PDF]
Rada R +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
Incorporation of Waste Glass Powder in the Sustainable Development of Concrete. [PDF]
Sivasuriyan A, Koda E.
europepmc +1 more source
A mask‐free and cost‐effective UV‐pico‐second laser‐based microfabrication method is proposed to fabricate large‐area biodegradable microelectrode arrays and pressure sensors. These devices demonstrate low impedance, good conformability, excellent biocompatibility, and rapid degradation, providing a new route for next‐generation transient electronics ...
Bhavani Prasad Yalagala +5 more
wiley +1 more source
Machine learning-driven optimization of compressive and tensile strength in concrete with GGBS, eggshell powder, and waste glass powder. [PDF]
Alnadish AM +4 more
europepmc +1 more source
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source

