Results 191 to 200 of about 154,933 (276)

Cap‐oPMN: Oral Inflammatory Load Quantification Using Capillary Microfluidics and Automated Image Processing

Advanced Materials Technologies, EarlyView.
ABSTRACT Quantifying oral polymorphonuclear neutrophils (oPMNs) is a clinically validated approach for assessing periodontal inflammation. However, current methods, such as manual hemocytometry and flow cytometry, are time‐consuming (>3 h), require invasive sampling, and depend on staining and complex instrumentation, making them unsuitable for point ...
Mohsen Hassani, Azam Zare, Fatemeh Soheili, S. M. Mahdi H. Daneshvar, Mahdi Amrollahi Biouki, Yasaman Tahernezhad, Chunxiang Sun, Michael Glogauer, Ebrahim Ghafar‐Zadeh, Amir Sanati‐Nezhad   +9 more
wiley   +1 more source

Integrating WGCNA and machine learning algorithm to identify ACSM5 as a prognostic biomarker and therapeutic target for predicting immunotherapy efficacy in non-small cell lung cancer. [PDF]

Transl Cancer Res
Ma X, Du W, Bai M, Dai Z.
europepmc   +1 more source

Additive Manufacturing of Ni‐Based Thermoelectric Materials for Waste Heat Recovery

Advanced Materials Technologies, EarlyView.
Thermoelectric generators convert waste heat into electricity but are constrained by conventional fabrication. Here, laser powder bed fusion enables direct printing of customised n‐type Cu60Ni40 and p‐type Ni90Cr10 legs. The assembled module achieves 0.8% efficiency at ΔT = 419 K, demonstrating scalable additive manufacturing of eco‐friendly, design ...
Karolin Amstein, Aayush Dobhal, Heiko Reith, Ran He, Julia Kristin Hufenbach, Kornelius Nielsch, Pingjun Ying   +6 more
wiley   +1 more source

Human endogenous retrovirus profiling reveals heterogenous expression in cutaneous melanoma. [PDF]

Front Oncol
Fei T, Singh B, Dopkins N, Marston JL, Francis JH, Nixon DF, Shoushtari AN, Bendall ML.   +7 more
europepmc   +1 more source

Graphene‐Based Wearable Textile Triboelectric Nanogenerators and Biomechanical Sensors

Advanced Materials Technologies, EarlyView.
This study presents a wearable textile‐based triboelectric nanogenerator (T‐TENG) using sprayed graphene enhanced with a PVA adhesion layer. The graphene‐based electrode demonstrates high electrical conductivity and robustness to multiple bends. The fabricated T‐TENG provides stable and efficient output, with strong responsiveness to biomotion.
Hongyang Dang, Benji Fenech‐Salerno, Antonio Alessio Leonardi, Federico La Barbera, Felice Torrisi   +4 more
wiley   +1 more source

Integrative transcriptomic profiling reveals subtype-specific therapeutic vulnerabilities and resistance mechanisms in prostate cancer. [PDF]

BMC Cancer
Liu W, Kong W, Jiang S, Wei Y, Yu Z, Cao X, Yang J, Wei X, Shen L, Qin C, Zhu Q.   +10 more
europepmc   +1 more source

Graphene‐Interfaced Stretchable Sweat Patch for Multiplexed Electrochemical Monitoring of IL‐6, Glucose, and Calcium Ions

Advanced Materials Technologies, EarlyView.
Flexible sweat sensor patch integrating graphene‑interfaced gold microelectrodes functionalized with bio‑receptors and ion‑selective membrane, coupled with a capillary‑driven microfluidic layer and portable potentiostat electronics for multiplexed monitoring of inflammatory, metabolic, and electrolyte biomarkers in microliter sweat volumes.
Roomia Memon, Ali Tufani, Süleyman Çelik, Javed H. Niazi, Anjum Qureshi   +4 more
wiley   +1 more source

Construction of a ubiquitination-related gene signature to predict prognosis and treatment response in lung adenocarcinoma. [PDF]

Pak J Med Sci
Li X, Lai J, Guo M, Lian Z.
europepmc   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source