Results 101 to 110 of about 988,014 (312)

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Health and inequality: institutions and public policies in the 21st century [PDF]

, 2002
Lígia Giovanella, Jeni Vaitsman, Sarah Escorel, Rosana Magalhães, Nílson do Rosário Costa   +4 more
openalex   +1 more source

Journal of Community Mental Health and Public Policy

, 2021

openalex   +1 more source

Redefining the Health Risk of Battery Materials Through a Biologically Transformed Metal Mixture

Advanced Science, EarlyView.
Inhaled NCM particles undergo lysosomal degradation, releasing complex ion mixtures that induce systemic impact. The impact is determined by a critical balance between antagonistic Ni‐Co interactions and synergistic Mn effects. To capture these complexities in risk assessment, we develop an IAI model, ensuring a more accurate quantitative risk ...
Ze Zhang, Gan Miao, Xueyu Zhang, Zhao Shu, Dawei Lu, Yujie Song, Shanfa Yu, Qian Liu, Yang Song, Rong Zhang, Xiaoting Jin, Yuxin Zheng   +11 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Changes in diet and physical activity following a community-wide pilot intervention to tackle childhood obesity in a deprived inner-London ward

BMC Public Health
Background Local authorities in England have an important role in shaping healthy local environments contributing to childhood obesity. This study examined changes in diet and physical activity in primary school children following a three-year, complex ...
Charan Bijlani, Charlotte Vrinten, Cornelia Junghans, Kiara Chang, Ellie Lewis, UmmeZeinab Mulla, Paraskevi Seferidi, Anthony A. Laverty, Eszter P. Vamos   +8 more
doaj   +1 more source

Towards Good Governance of Public-Private Alliance Councils Supporting Industrial Policies in Latin America [PDF]

, 2014
Robert Devlin
openalex   +1 more source

Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring

Advanced Science, EarlyView.
This study presents a semantic representation framework for clinically interpretable cardiac monitoring from contactless radio signals. It formulates radio semantic learning as an information‐bottleneck problem and approximates the objective via intra‐modal compression and cross‐modal alignment, structuring radio measurements into meaningful semantic ...
Jinbo Chen, Haoyu Wang, Guixin Xu, Yuqin Yuan, Xinmeng Cai, Zhengwu Wei, Dongheng Zhang, Qibin Sun, Tianwei Zhang, Cuntai Guan, Yan Chen   +10 more
wiley   +1 more source

Impact of academic title structure of university research teams on research output: evidence from 30 Chinese universities

Humanities & Social Sciences Communications
Despite widespread agreement in the scholarly community about the significance of academic title structure on research output, research on the underlying mechanisms remains insufficient.
Mengmeng Zhang, Liyuan Liu, Dongmei Zeng, Xiaoying Li   +3 more
doaj   +1 more source