Results 231 to 240 of about 411,688 (293)

Strategies for Enhancing Thermal Conductivity of PDMS in Electronic Applications

Advanced Materials Technologies, EarlyView.
This review explores effective strategies for enhancing heat dissipation in Polydimethylsiloxane (PDMS)‐based composites, focusing on particle optimization, 3D network design, and multifunctional integration. It offers key insights into cutting‐edge methods and simulations that are advancing thermal management in modern electronic devices.
Xiang Yan, Marisol Martin‐Gonzalez
wiley   +1 more source

Systematic Pathway Screening via Integrated Machine Learning Identifies FOXO-Mediated Transcription Signature for Robust Immunotherapy Response Prediction in Non-Small Cell Lung Cancer. [PDF]

Hum Mutat
Wu S, Deng C, Fan C, Liang Q, Zhu L, Mou W, Huang H, Wu K, Li Y, Deng G, Xu L, Xie J, Hong C, Deng Y, Li X, Wu C, Yang T, Luo P, Wong HZH, Jiang A, Lin A, Chen X, Ren M.   +22 more
europepmc   +1 more source

Flexible, Integrated‐Porous Microneedle Sensor for Biofluid Sampling and On‐Site Biomarker Detection

Advanced Materials Technologies, EarlyView.
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, Heyi Jing, Jongho Park, Beomjoon Kim   +3 more
wiley   +1 more source

GNR: Genetic-Embedded Nuclear Reaction Optimization with F-Score Filter for Gene Selection in Cancer Classification. [PDF]

Int J Mol Sci
Alkamli S, Alshamlan H.
europepmc   +1 more source

Programmable Dimensional Lithography with Digital Micromirror Devices for Multifunctional Microarchitectures

Advanced Materials Technologies, EarlyView.
This review explores recent advances in digital micromirror device (DMD)‐based lithography, focusing on its programmable light modulation, multi‐material compatibility, and dimensional patterning strategies. It highlights innovations from optical system design to materials integration and multifunctional applications, positioning DMD lithography as a ...
Yubin Lee, Byungcheon Yoo, Chaeyeong Ryu, Jongwon Oh, Dahye Baek, Jiseok Lee   +5 more
wiley   +1 more source

Improving protein interaction prediction in GenPPi: a novel interaction sampling approach preserving network topology. [PDF]

BMC Bioinformatics
Silva A, Marquez C, Godoy I, Silva L, Prado M, Beppler M, Avila N, Travençolo B, Santos AR.   +8 more
europepmc   +1 more source

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

Advanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue, Yuan Gao, Fanping Sui, Jason Wang, Megan Teng, Peggy Tsao, Huicong Deng, Yande Peng, Liwei Lin   +8 more
wiley   +1 more source

Integrative machine learning identifies lactylation-related gene signature prognostic for chemotherapeutic efficacy in colorectal carcinoma. [PDF]

Discov Oncol
Hu H, Peng F, Ba Q, Hu W, Lu Y.
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

Development of a single-cell derived MDSCs signature score for prognostic risk stratification and therapeutic decision guidance in breast cancer. [PDF]

Transl Oncol
Yin J, Li B, Xiong H, Gan J, Liang L.
europepmc   +1 more source