Results 221 to 230 of about 137,634 (294)

AI-Driven De Novo Binder Design: From Structure Prediction to Closed-Loop Optimization. [PDF]

Comput Struct Biotechnol J
Li X, Fan Z, Yang J, Jiang R, Cao F, Li J, Xie D, Meng X, Sun M, Wang L.   +9 more
europepmc   +1 more source

Xenes for Sustainable Energy: A Roadmap From First‐Principles Design to Practical Deployment

Advanced Materials Interfaces, EarlyView.
Emerging 2D Xenes are advancing from theoretical predictions toward practical energy‐storage and conversion technologies through the integration of first‐principles modelling, experimental synthesis, electrochemical validation, and AI‐assisted materials design, enabling accelerated discovery of high‐performance and sustainable electrochemical systems ...
Onur Karaman, Ceren Karaman
wiley   +1 more source

Label-Free High-Throughput Screening of CYP3A4 Inhibitors Using Acoustic Ejection Mass Spectrometry. [PDF]

Anal Chem
Rimmer MA, Wang J, Ranathunge TA, Shi Z, Li Y, Lee D, Chai SC, Lin W, Twarog NR, Ansari AZ, Shelat AA, Young BM, Chen T, Yang L.   +13 more
europepmc   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
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, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Establishment and Characterization of a Stable hERG Cell Line for High-Throughput Drug Cardiac Safety Screening. [PDF]

Int J Mol Sci
Lu H, Guo Q, Qiu Q, Hu J.
europepmc   +1 more source

Large‐Scale and Cost‐Effective Fabrication of Ultra‐Thin, Biodegradable Microelectrode Arrays and Pressure Sensors Using Laser Micromachining

Advanced Materials Technologies, EarlyView.
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, Asfand Tanwear, María Cerezo‐Sánchez, Hossein Parvizi, Morteza Amjadi, Hadi Heidari   +5 more
wiley   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Biophysical Sensing Tools in Drug Discovery: Integrating Kinetics, Thermodynamics, Cellular Target Engagement and Structure. [PDF]

Sensors (Basel)
Balıkçı E, Akıl C.
europepmc   +1 more source

Benchmarking Coaxial and Angular Optical Emission Spectroscopy With Recommendations for Reliable Compositional In Situ Monitoring During Laser Powder Bed Fusion

Advanced Materials Technologies, EarlyView.
ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel, Bastian Jülich, Anna Rosa Ziefuss, Florian Eibl, Stephan Barcikowski   +4 more
wiley   +1 more source

WormSpot: a machine learning-powered viability scoring platform in <i>C. elegans</i> for <i>Candida</i> pathogenicity studies. [PDF]

Microbiol Spectr
Lee JGW, Ong VEY, Zhang D.
europepmc   +1 more source