Results 221 to 230 of about 26,740 (302)

Concerns Regarding Control Group Design and Statistical Rigor in the Study on ER Stress-Induced Neuroinflammation Via LCN2. [PDF]

Invest Ophthalmol Vis Sci
Liang N, Liu C, Ke Y, Li X, Cao J.
europepmc   +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, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

CRISPR gene editing of angiopoietin-like 3: toward one-time precision therapy for dyslipidaemia. [PDF]

Signal Transduct Target Ther
Mondal A, Misra A.
europepmc   +1 more source

To the Story of Anna Karenina. Parody as a Precedent Text

Izvestiya of Saratov University. New Series. Series: Philology. Journalism, 2017
openaire   +1 more source

PROBLEMS OF TRANSLATION OF UKRAINIAN PRECEDENT TEXTS INTO ENGLISH

Scientific Bulletin of Kherson State University. Series Linguistics, 2019
Mitina Olena, Shvelidze Lidiia
openaire   +2 more sources

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

Brain-computer interface commercialization. [PDF]

J Neuroeng Rehabil
Powell J, Zhou A.
europepmc   +1 more source

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang, Sile Hu, Rigahai Ji, Riguna A, Siqige Hao, Ma Zhuo, Yi‐Hung Chen, Bisihalatu Hu, Ulana Bai, Xigui Hada   +9 more
wiley   +1 more source

Editorial: Bioactive metabolites in traditional medicine: dual pathways to metabolic health. [PDF]

Front Pharmacol
Sun W.
europepmc   +1 more source