Results 161 to 170 of about 41,060,851 (256)

Evaluating Turkish society's approaches to hemorrhoid treatment using text mining and sentiment analysis methods. [PDF]

Front Surg
Doğaner A.
europepmc   +1 more source

The Hastings Mining Association, organized Dec. 27, 1906 [electronic resource].

, 1906
In double columns.Date from text."Board of Trade and Mining Association : one of the largest and most enthusiastic meetings ever held in Madoc."Electronic reproduction.Mode of access: Internet ...
Hastings Mining Association.
core  

Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics

Advanced Intelligent Discovery, EarlyView.
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha, Jesus Gil, Pedro J. Ballester   +2 more
wiley   +1 more source

The DSMZ Digital Diversity Annotation Hub: a pipeline for database expansion via text mining and human curation. [PDF]

J Integr Bioinform
Quadros E, Reimer LC, Koblitz J.
europepmc   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Mining the Public Mind: A Text-Mining Approach to Dental Implants and Dentures. [PDF]

Dent J (Basel)
Kong HJ.
europepmc   +1 more source

A Critical Assessment of Bonding Descriptors for Predicting Materials Properties

Advanced Intelligent Discovery, EarlyView.
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik, Nidal Dhamrait, Katharina Ueltzen, Christina Ertural, Philipp Benner, Gian‐Marco Rignanese, Janine George   +6 more
wiley   +1 more source

A Mechanism-Centered Text-Mining Landscape of Mitochondrial Bioenergetics and Signaling in Disease Research. [PDF]

Int J Mol Sci
Yonar H, Beşoluk FÇ, Parlak TM.
europepmc   +1 more source

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

A pretrained biomedical large language model for Persian biomedical text mining. [PDF]

Sci Rep
Merzah BM, Taami T, Asoudeh S, Mirzaee S, Hossein Pour AR, Bengari AA, Shahmarvandi EK.   +6 more
europepmc   +1 more source