Results 171 to 180 of about 1,141,752 (328)

Anthropomorphism, Perceived Learning for Creation, and Growth Creative Mindset as Predictors of Acceptance Toward Artificial Intelligence Creativity

, 2023
Yei-Beech Jang
openalex   +1 more source

Accelerating Discovery to Deployment: Argonne's Materials Engineering Research Facility (MERF) and Its Role in Scaling Materials Technologies for Water and Resource Solutions

Advanced Materials Technologies, EarlyView.
In this Perspective, we highlight the processing science and scale‐up capabilities of the Materials Engineering Research Facility (MERF) at the U.S. Department of Energy's Argonne National Laboratory, with an emphasis on practical solutions for sustainable water and critical resource recovery. We demonstrate how national laboratories bridge fundamental
Yuepeng Zhang, Bratin Sengupta, Xiaoao Shi, Haihui Pu, Jeffrey W. Elam, Gregory K. Krumdick, Jessica Durham Macholz, Allison Bennett Irion, Junhong Chen, Seth B. Darling   +9 more
wiley   +1 more source

Can algorithms come to the rescue of a failing heart? Machine learning, artificial intelligence, and decision-making in cardiogenic shock. [PDF]

J Anesth Analg Crit Care
Bottussi A, Wieruszewski PM, Bignami EG, Swol J, Buda KG, Cheungpasitporn W, Elmadhoun O, D'Andria Ursoleo J.   +7 more
europepmc   +1 more source

Flow‐Adaptive Gas Sensing Enabled Using a Uniform Au Nanosheet Sensor Array and a Neural Network Inference

Advanced Materials Technologies, EarlyView.
Integrated Au nanosheet sensor array enables simultaneous inference of gas concentration and flow rate via deep neural network analysis, without external flow control. ABSTRACT Gas sensor responses are considerably affected by gas flow rates, thereby inhibiting the accurate detection of target gas concentrations in variable‐flow applications such as ...
Taro Kato, Takahisa Tanaka, Yusuke Hamanaka, Ryo Toyoshima, Ken Uchida   +4 more
wiley   +1 more source

Tumor cell- and infiltrating immune cell-based supervised learning artificial intelligence multimodal platform for tumor prognosis. [PDF]

NPJ Precis Oncol
Cai XJ, Peng CR, Ding CY, Cui YY, Gao L, Xu ZX, Li L, Zhang JY, Li TJ.   +8 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

Deep Learning Artificial Intelligence and Restriction Spectrum Imaging for Patient-level Detection of Clinically Significant Prostate Cancer on Biparametric Magnetic Resonance Imaging. [PDF]

Eur Urol Open Sci
Song Y, Domingo MR, Conlin CC, Do DD, Baxter MT, Dornisch A, Xu G, Bagrodia A, Barrett T, Harisinghani M, Hollenberg G, Kamran S, Kane CJ, Kessler DA, Kuperman J, Lee K, Liss MA, Margolis DJA, Murphy PM, Nakrour N, Ngyuen T, Osinski TL, Rakow-Penner R, Roychowdhury S, Shabik AS, Trecarten S, Wehrli N, Weinberg EP, Woolen SA, Dale AM, Seibert TM.   +30 more
europepmc   +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

Prediction of Postoperative Mortality After Fontan Procedure: A Clinical Prediction Model Study Using Deep Learning Artificial Intelligence Techniques. [PDF]

J Cardiovasc Dev Dis
Kolcz J, Budzynska A, Stefaniak J, Szydlak R, Kononowicz AA.   +4 more
europepmc   +1 more source

Chemically Doped Conductive Polymers for Wearable Health Monitoring

Advanced Materials Technologies, EarlyView.
Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo, Jian Song, Hong Hu, Le Zheng, Lei Zhang, Charles H. Lawrie   +5 more
wiley   +1 more source