Results 31 to 40 of about 31,305 (267)

Toward Prostate Cancer Early Warning with a Self‐Powered Wearable Biosensing Platform Integrated with Machine Learning

Advanced Science, EarlyView.
ABSTRACT Current prostate cancer detection methods remain limited in non‐invasiveness and specificity, prompting interest in urinary biomarkers such as sarcosine. Here, we report a urine‐powered wearable platform for non‐invasive sarcosine detection as a proof‐of‐concept for decentralized early warning.
Jing Xu, Hanxiao Chen, Qichen Yuan, Liucun Yin, Yifang Tao, Hong Wang, Yuquan Xue, Delai Fu, Huan Pang, Tie Chong, Li Xue   +10 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Application of machine learning to predict delayed fecundability among women in sub-Saharan Africa

Reproduction and Fertility
Delayed fecundability, defined as trying to conceive for ≥12 months without success, is a growing global concern due to the threat of fertility rates falling below the replacement level.
Meron Asmamaw Alemayehu, Nebiyu Mekonnen Derseh, Tigist Kifle Tsegaw, Tilahun Yemanu Birhan, Banchlay Addis, Berhanie Addis Ayele, Emebet Birhanu Lealem, Eyob Akalewold Alemu, Fetlework Gubena Arage, Gebrie Getu Alemu, Getaneh Awoke Yismaw, Habtamu Abebe Getahun, Habtamu Wagnew Abuhay, Mekuriaw Nibret Aweke   +13 more
doaj   +1 more source

The Use of The SHAP Algorithm in Building Energy Efficiency: A Bibliometric Analysis

KAPU Trakya Mimarlık ve Tasarım Dergisi
Buildings account for a significant percentage of global energy consumption. Optimizing building energy consumption is important in terms of reducing carbon emissions and environmental impacts. In particular, with the advancement of technology in recent years, the use of artificial intelligence algorithms has gained importance in the field of building ...
Resul Özlük, Yusuf Yıldız
openaire   +2 more sources

Integrating Machine Learning With Constant‐Potential Simulation to Unravel Charge‐Transfer Mechanisms in Electrochemical Nitrogen Fixation

Advanced Science, EarlyView.
Integrating interpretable machine learning with the fixed‐potential method reveals a novel mechanism: the catalytic activity of the electrochemical nitrogen reduction reaction is governed by partial charge transfer, induced by variations in the intermediate potential of zero charge under constant potential.
Yufei Xue, Dushuo Feng, Yuefei Zhang, Yang Zhang, Yalong Jiao, Aijun Du, Guoping Gao   +6 more
wiley   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Interpretable landslide susceptibility evaluation using a BP neural network model optimized by multiple algorithms

Zhongguo dizhi zaihai yu fangzhi xuebao
Current landslide susceptibility evaluation methods predominantly rely on statistical techniques and machine learning models, both of which are prone to errors related to sample quality and parameter selection.
Hao LU, Shuqiang LU, Jiale LI, Zhen LIN, Yong LI   +4 more
doaj   +1 more source

Clinicopathological Role of Serum-Derived Hyaluronan-Associated Protein (SHAP)-Hyaluronan Complex in Endometrial Cancer

Obstetrics and Gynecology International, 2011
The role of hyaluronan (HA), serum-derived HA-associated protein (SHAP)-HA complex and hyaluronan synthase (HAS) in endometrial carcinomas was investigated.
Hiromitsu Yabushita, Keita Iwasaki, Kouhei Kanyama, Yukihiko Obayashi, Lisheng Zhuo, Naoki Itano, Koji Kimata, Akihiko Wakatsuki   +7 more
doaj   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

Climate-based predictive modeling of malaria incidence using statistical and machine learning approaches

Transactions on Computational Modeling and Intelligent Systems
Malaria remains a major public health burden in Nigeria, where climatic variability plays a critical role in shaping transmission dynamics. This study develops and evaluates climate-based predictive models for malaria incidence by integrating historical ...
Oluwaseun Okundalaye, Necati Ozdemir, Bunmi Rotimi, Funmilola Akanbi   +3 more
doaj   +1 more source