Results 271 to 280 of about 442,254 (313)

Artificial intelligence in polycystic ovary syndrome: a systematic review of diagnostic and predictive applications. [PDF]

BMC Med Inform Decis Mak
Ghaderzadeh M, Garavand A, Salehnasab C.
europepmc   +1 more source

Consensus findings of an International Workshops on Genotoxicity Testing workshop on using transcriptomic biomarkers to predict genotoxicity

Environmental and Molecular Mutagenesis, EarlyView.
Abstract Gene expression biomarkers have the potential to identify genotoxic and non‐genotoxic carcinogens, providing opportunities for integrated testing and reducing animal use. In August 2022, an International Workshops on Genotoxicity Testing (IWGT) workshop was held to critically review current methods to identify genotoxicants using ...
Roland Froetschl, J. Christopher Corton, Henghong Li, Jiri Aubrecht, Scott S. Auerbach, Florian Caiment, Tatyana Y. Doktorova, Yurika Fujita, Danyel Jennen, Naoki Koyama, Matthew J. Meier, Roman Mezencev, Leslie Recio, Takayoshi Suzuki, Carole L. Yauk   +14 more
wiley   +1 more source

Detection of Fluconazole Resistance in <i>Candida parapsilosis</i> Clinical Isolates with MALDI-TOF Analysis: A Proof-of-Concept Preliminary Study. [PDF]

J Fungi (Basel)
Franconi I, Tuvo B, Maltinti L, Falcone M, Mancera L, Lupetti A.   +5 more
europepmc   +1 more source

Review of Transcriptomic Biomarkers That Predict In Vitro Genotoxicity in Human Cell Lines

Environmental and Molecular Mutagenesis, EarlyView.
ABSTRACT The current genotoxicity testing paradigm provides little mechanistic information, has poor specificity in predicting carcinogenicity in humans, and is not suited to assessing a large number of chemicals. Genomic technologies enable the characterization of genome‐wide transcriptional changes in response to chemical treatments that can inform ...
Heng‐Hong Li, Jiri Aubrecht, Tatyana Y. Doktorova, Danyel Jennen, J. Christopher Corton, Roland Froetschl, Roman Mezencev, Carole L. Yauk   +7 more
wiley   +1 more source

Enhanced Gas Classification in Electronic Nose Systems Using an SMOTE-Augmented Machine Learning Framework. [PDF]

Sensors (Basel)
Li M, Wu C, Wang Z, Wu Z, Huang W, Chen J, Yu K, Wen T, Yin H, Wang Z.   +9 more
europepmc   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

A computer-aided diagnosis system of parkinson's disease based on hilbert spectrum features of speech. [PDF]

Sci Rep
Ma Y, Zheng F, Lu J, Wang J.
europepmc   +1 more source

Enhancing image based classification for crop disease detection using a multiclass SVM approach with kernel comparison. [PDF]

Sci Rep
Sridhar P, Angamuthu P.
europepmc   +1 more source

Explainable Cluster-Based Predictive Framework for Early Diagnosis of Autism Spectrum Disorder Using Behavioral Biomarkers. [PDF]

Diagnostics (Basel)
Alshammeri M, Ahmad Z, Humayun M, Alamri M.   +3 more
europepmc   +1 more source

Prediction models developed using artificial intelligence: similar predictive performances with highly varying predictions for individuals - an illustration in deep vein thrombosis. [PDF]

Diagn Progn Res
Yusufujiang M, Navarro CLA, Damen JA, Takada T, Geersing GJ, Hooft L, Schuit E, Moons KG, de Jong VM, van Smeden M.   +9 more
europepmc   +1 more source