Results 281 to 290 of about 222,396 (351)

Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery

Med Research, EarlyView.
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu, Sanchit Arora, Dinesh Kumar, Ashish Kumar Agrawal   +3 more
wiley   +1 more source

Local Binary Pattern-Cycle Generative Adversarial Network Transfer: Transforming Image Style from Day to Night. [PDF]

J Imaging
Almohamade A, Kammoun S, Alsolami F.
europepmc   +1 more source

Advances and Prospects of Stereotactic Radiosurgery and Stereotactic Ablative Body Radiotherapy: Evolving Paradigms in Precision Oncology

Med Research, EarlyView.
The graphical abstract outlines the progressive development and impact of stereotactic radiosurgery (SRS) and stereotactic body radiotherapy (SBRT). Technological Evolution illustrates the transition from brachytherapy with single‐dose, LDR/HDR schedules to fractionated radiotherapy, three‐dimensional conformal radiotherapy (3DCRT) and Gamma Knife ...
Jing Zhang, Wenhao Xu, Weiqing Lu, Yingxuan Lin, Luoxi He, Zonglin Lv, Yiliyaer Nuerrula, Zouting, Zhen Zhang, Hailiang Zhang, Xuejun Ma   +10 more
wiley   +1 more source

Dual-Stream Contrastive Latent Learning Generative Adversarial Network for Brain Image Synthesis and Tumor Classification. [PDF]

J Imaging
Zafar J, Koc V, Zafar H.
europepmc   +1 more source

Artificial Intelligence in Ovarian Cancer: Current Advances and Perspectives

Medicine Advances, EarlyView.
This article provides a comprehensive summary of the applications of artificial intelligence, including radiomics and deep learning, in ovarian cancer. It also discusses the current challenges and future directions, which mainly involve certain aspects of model generalizability, interpretability, and ethical and regulatory considerations.
Zijing Lin, Jinwei Qiang, Yajia Gu, Haiming Li   +3 more
wiley   +1 more source

Hybrid generative adversarial network based on frequency and spatial domain for histopathological image synthesis. [PDF]

BMC Bioinformatics
Liu Q, Zhou T, Cheng C, Ma J, Hoque Tania M.   +4 more
europepmc   +1 more source

Populism and policy capacity: Evidence from an opposition municipality in Istanbul

Public Administration and Development, EarlyView.
Abstract Despite achievements in its conceptual rigor, policy capacity still represents a relatively depoliticized concept that fails to sufficiently consider the ways in which politics plays a role in its creation, mobilization, or decay. This article seeks to contribute to this debate by investigating the impact of populism on policy capacity, the ...
Ebru Ertugal, Faik Gür, İnan Sevinç
wiley   +1 more source

Reservoir Stochastic Simulation Based on Octave Convolution and Multistage Generative Adversarial Network. [PDF]

Sci Rep
Wu X, Fan W, Peng S, Qin B, Wang Q, Li M, Li Y.   +6 more
europepmc   +1 more source

A Conditional Wasserstein Generative Adversarial Network for Pixel-level Crack Detection using Video Extracted Images. [PDF]

, 2019
Qipei Mei, Mustafa Gül
openalex  

Context, Culture, and Governance in an Informal Community in Ghana: A Case Study for Community‐Based Adaptation in Public Administration

Public Administration and Development, EarlyView.
ABSTRACT In its quest for development, Ghana must address socioeconomic challenges not of its own making, use resources it does not have, and apply externally imposed technocratic knowledge‐based solutions largely incompatible with Ghanaians' lived experience.
Jessica Kritz, Peter F. Haruna
wiley   +1 more source