Results 151 to 160 of about 5,262,248 (269)

The Machine Learning Classification of Retinal Ganglion Cell Dendritic Texture in a 3xTg-Alzheimer's Disease Mouse Model. [PDF]

Diagnostics (Basel)
Kulmaganbetov M, Khaidarov S, Bevan R, Morgan JE.   +3 more
europepmc   +1 more source

High‐throughput image‐based phenotyping of soybean hilum color

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Hilum color in soybean (Glycine max [L.] Merr.) is an important morphological trait influencing market classification and seed quality traits, yet its phenotyping is largely subjective, relying on visual inspection and assignment to one of eight color classes. This study developed an image‐based high‐throughput pipeline to measure and classify
Katherine Fortune, Ali Heidari, Milad Eskandari   +2 more
wiley   +1 more source

Decoding basal ganglia motor circuit dysfunction from handwriting: a physics-informed neural signal interpretation framework for Parkinson's disease screening. [PDF]

Front Neuroinform
Batri K, Lakshmi S, Khan S, Iqbal Z, Alhefdi M, Atteia G, Murugan S.   +6 more
europepmc   +1 more source

Machine Learning‐Assisted Design of BaTiO3‐Based Superparaelectric High‐Entropy Ceramics with Superior Energy Storage

ENERGY &ENVIRONMENTAL MATERIALS, Volume 9, Issue 6, November 2026.
This study employed an adaptive iterative strategy combining machine learning algorithms, domain knowledge, experimental design, and experimental feedback to aim to precisely and quickly discover high‐entropy ceramics with excellent energy storage performance.
Haowen Liu, Xiaoyan Zhang, Zhiyuan Ma, Kailong Ma, Xiwei Qi   +4 more
wiley   +1 more source

Path Analysis of the Cancer Mueller Matrix: From Physical Decomposition to High-Dimensional Vector Mapping. [PDF]

J Biophotonics
Wang C, Huang D, Liu Z, Dai R, Li X, Xie Y, Song D, Hong J.   +7 more
europepmc   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, Volume 104, Issue 10, Page 5328-5349, October 2026.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source

Agomelatine as augmentation therapy with second‐generation antipsychotics for negative symptoms of schizophrenia: An open‐label randomised clinical trial and electroencephalogram‐derived model for treatment response prediction

General Psychiatry, Volume 39, Issue 5, October 2026.
ABSTRACT Background Negative symptoms are a core diagnostic domain of schizophrenia that affect functional outcomes and remain difficult to treat. Agomelatine, a novel antidepressant with melatonin receptor agonism and serotonin 2C receptor antagonism, may have therapeutic potential.
Wanyan Zhou, Fei Liang, Nizhe Chen, Yao Zhang, Xiaoxiao Wang, Xin Li, Daofeng Lu, Fang Guo, Yuan Yao, Jiayu Zhu, Chengjia Shen, Chongze Wang, Peiyun Zhang, Lilan Zhao, Ying Wang, Jinyu Han, Wei Li, Haisu Wu, Peijuan Wang, Qi Yan, Ping Zhang, Qinyu Lv, Zhenghui Yi   +22 more
wiley   +1 more source

Complexity of fractal dimension patterns and machine learning-based classification of altered motor cortical oscillatory activity in rodent models of Parkinson disease. [PDF]

Front Neurol
Alam M, Abdulbaki A, Armstrong A, Schwabe K, Krauss JK.   +4 more
europepmc   +1 more source

Identification and Experimental Validation of PANoptosis Key Genes for Constructing a PANoptosis Risk Diagnostic Model in Intervertebral Disc Degeneration

The Journal of Gene Medicine, Volume 28, Issue 10, October 2026.
This study identified seven PANoptosis key genes (ACSBG1, FXYD1, APCS, CEACAM1, ERAP2, ABL1, and FZD3) in intervertebral disc degeneration (IDD) through integrated bioinformatics analysis of GEO datasets. Using machine learning algorithms (RF, SVM, XGB, and GLM), a PANoptosis risk diagnostic model was constructed and validated.
Kui Deng, Xia Lan, WenZhao Chen, LiuXue Du, JiangWei Chen   +4 more
wiley   +1 more source

Macroscopic EEG reveals discriminative low-frequency oscillations in plan-to-grasp visuomotor tasks. [PDF]

J Neural Eng
Cetera A, Ghafoori S, Rabiee A, Farhadi MH, Shahriari Y, Abiri R.   +5 more
europepmc   +1 more source