Results 141 to 150 of about 89,316 (267)
Advanced Intelligent Discovery, EarlyView.Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
The Rank-2PL IRT Models for Forced-Choice Questionnaires: Maximum Marginal Likelihood Estimation with an EM Algorithm. [PDF]
J Educ Behav StatFu J, Tan X, Kyllonen PC.
europepmc +1 more source
Advanced Experiment Design Strategies for Drug Development
Advanced Intelligent Discovery, EarlyView.Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
An acceleration with errors of the APX-EM algorithm
四川大学学报. 自然科学版Factor analysis models are widely used in different disciplines such as economics.When a factor analysis model is implemented， it is needed to estimate the values of the parameters， and the maximum likelihood method is a common method for the estimation ...
DENG Yin, TANG Ya-Yong
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Estimating Transition Intensity Rate on Interval-censored Data Using Semi-parametric with EM Algorithm Approach. [PDF]
Commun Stat Theory MethodsQian C +4 more
europepmc +1 more source
Knowledge-Guided Biclustering via Sparse Variational EM Algorithm. [PDF]
10th IEEE Int Conf Big Knowl (2019), 2019 Chang C, Oh J, Min EJ, Long Q.
europepmc +1 more source
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 +4 more
wiley +1 more source
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Advanced Intelligent Discovery, EarlyView.Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
An EM algorithm to improve the estimation of the probability of clonal relatedness of pairs of tumors in cancer patients. [PDF]
BMC Bioinformatics, 2019 Mauguen A +3 more
europepmc +1 more source