Results 261 to 270 of about 57,554 (348)

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Fear of cancer recurrence and coping strategies among patients with oral cancer: the impact on post-traumatic growth. [PDF]

BMC Psychol
Zhang X, Yuan M, Yue Y, Duan X.
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Correspondence: Statistical errors in "Factors influencing fear of cancer recurrence among prostate cancer patients: a systematic review and meta analysis" by Ziyi Qi, Sijia Hou, Ying Zhang, Siyuan Wu, and Wei Wang. [PDF]

Support Care Cancer
Weißflog G.
europepmc   +1 more source

Predicting Postresection Colorectal Liver Metastases Recurrence Using Advanced Graph Neural Networks with Explainability and Causal Inference

Advanced Intelligent Systems, EarlyView.
This study introduces a framework that combines graph neural networks with causal inference to forecast recurrence and uncover the clinical and pathological factors driving it. It further provides interpretability, validates risk factors via counterfactual and interventional analyses, and offers evidence‐based insights for treatment planning ...
Jubair Ahmed, Md. Abdur Rahman, Mohaimenul Azam Khan Raiaan, Sami Azam   +3 more
wiley   +1 more source

Treating Fear of Cancer Recurrence with Eye Movement Desensitization Reprocessing: A Sequential, Randomized Single-Case Experimental Design. [PDF]

J Pers Oriented Res
Van der Wolf PAI, Schellekens MPJ, van der Lee ML.   +2 more
europepmc   +1 more source

RanBALL: An Ensemble Machine Learning Framework for Accurate Subtype Identification of Pediatric B‐Cell Acute Lymphoblastic Leukemia

Advanced Intelligent Systems, EarlyView.
Here, we present RanBALL, an ensemble random projection‐based model for accurate and cost‐effective identification of B‐cell acute lymphoblastic leukemia subtypes is presented. By preserving patient‐to‐patient distance after dimension reduction by random projection and ensemble learning, RanBALL can facilitate the discovery of B‐ALL subtype‐specific ...
Lusheng Li, Hanyu Xiao, Xinchao Wu, Zhenya Tang, Joseph D. Khoury, Jieqiong Wang, Shibiao Wan   +6 more
wiley   +1 more source

The impact of fear of cancer recurrence on anxiety and depression in women with cancer: The chain mediating roles of financial toxicity and psychological distress - A multicenter investigative study. [PDF]

Asia Pac J Oncol Nurs
Liu L, Liu M, Liu Y, Yi H, Lyu Z, Xing S, Liu Y.   +6 more
europepmc   +1 more source

Characteristics and influencing factors of fear of cancer recurrence among family caregivers of breast cancer patients: a latent class analysis. [PDF]

BMC Nurs
Liu W, Li W, Deng L, Luo X, Tan Y, Xiang J, Wu Y, Hu Y, Sun H, Yang Y.   +9 more
europepmc   +1 more source

MCV/Q, Medical College of Virginia Quarterly, Vol. 16 No. 1 [PDF]

, 1980

core   +1 more source