Results 151 to 160 of about 86,196 (281)
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
Advanced Intelligent Discovery, EarlyView.The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Most UK scientists who publish extremely highly-cited papers do not secure funding from major public and charity funders: A descriptive analysis. [PDF]
PLoS One, 2019 Stavropoulou C, Somai M, Ioannidis JPA.
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 +4 more
wiley +1 more source
Highly cited publications in World War II: a bibliometric analysis
, 2017 Ho, Y.S. and Hartley, J. ；2017, Highly cited publications in World War II: a bibliometric analysis. Scientometrics, 110 ；2, 1065-1075.[[abstract]]What are the characteristics of scientific papers published in World War II, and what papers from World War ...
何玉山；Ho, Yuh-Shan；Hartley, Jam；Hartley, James
core
Articles of UFRGS represented in Web of Science: highly cited and the citing papers
, 2013 This paper uses bibliometric indicators of activity and impact to analyse articles published by authors from Universidade Federal do Rio Grande do Sul (UFRGS), represented in the Web of Science (WoS) at the period 2000-2009. The review covers theoretical visibility, citation and indicators of scientific production.
Brambilla, Sônia Domingues Santos +1 more
openaire +1 more source
Advanced Intelligent Systems, EarlyView.Hallgrimson et al. introduce a machine learning algorithm, siMILe, that takes features of single‐molecule localization microscopy localization clusters (e.g., size and sphericity) and finds the clusters that are associated with certain cell conditions (such as differential protein expression or drug treatment).
Christian Hallgrimson +8 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Is the promotion of research reflected in bibliometric data? A network analysis of highly cited papers on the Clusters of Excellence supported under the Excellence Initiative in Germany. [PDF]
Scientometrics, 2016 Bornmann L.
europepmc +1 more source
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Advanced Intelligent Systems, EarlyView.Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source