Results 181 to 190 of about 10,962 (248)

Sensory reliability takes priority over the central tendency effect in temporal and spatial estimation. [PDF]

Sci Rep
Tonelli A, Phan CK, Alais D.
europepmc   +1 more source

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

Reliability analysis of horseshoe tunnels by radial-based importance sampling method based on complex function displacement solution. [PDF]

PLoS One
Rong Y, Liu Q, Sun Y, Chen X, Zhang X, Li S.   +5 more
europepmc   +1 more source

Interpretable Machine Learning for Bandgap Prediction and Descriptor‐Guided Design Rules of Phosphates

Advanced Intelligent Discovery, EarlyView.
An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang, Abudukadi Tudi, Ran An, Zhihua Yang   +3 more
wiley   +1 more source

Thalamic Neuromodulation: New Frontiers. [PDF]

Epilepsy Curr
Hsu J, Ali R, Air E, Englot D, Muh CR, Richardson RM, Rammo R.   +6 more
europepmc   +1 more source

Improved Inference for the Instrumental Variable Estimator [PDF]

Richard Startz, Eric Zivot, Charles Nelson   +2 more
core  

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

Decoding Complex Traits in Goats Through Genome-Wide Association Studies: Progress, Challenges, and Perspectives. [PDF]

Int J Mol Sci
Feng D, Wei C, Hu SY, Gan SQ.
europepmc   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios, Léon Chiriatti, Simon Poppinga, Thomas Speck, Vincent Le Houérou   +4 more
wiley   +1 more source

Quantifying leaf herbivory: A guide to methodological trade-offs and best practices. [PDF]

Ecology
Cornelissen T, Mendes GM, Silveira FAO, Dáttilo W, Guevara R, Aguilar R, Boaventura MG, Campos R, Del Val E, Demetrio GR, Fagundes M, de Paiva Farias R, Fernandes GW, Fernandes T, Gomes I, Kloss T, Kuchenbecker J, Maracahipes L, Neves F, Paolucci L, Pereira CC, Queiroz E, Ramos L, Ribeiro SP, Romero GQ, Oliveira C, Silva JO, Sobrinho T, Solar R, Vasconcelos H, Zorzal G, Wetzel WC.   +31 more
europepmc   +1 more source