Results 141 to 150 of about 13,592 (226)
Artificial intelligence accelerates cancer therapeutic development through an iterative, closed‐loop pipeline: from AI‐driven target and drug discovery, through automated synthesis and screening, to experimental validation in in vivo tumor models, culminating in clinical translation guided by patient data.
Tuğba Ören Varol, Mehmet Varol
wiley +1 more source
This graphical abstract presents a lightweight and automated BiLSTM‐based Multi‐Cycle GAN framework for retinal blood vessel and optic disc segmentation in fundus images. Initially, fundus images undergo preprocessing, including green channel extraction, denoising, resizing, and dataset splitting.
Rasmita Kumari Mohanty +7 more
wiley +1 more source
Expression EEG Multimodal Emotion Recognition Method Based on the Bidirectional LSTM and Attention Mechanism. [PDF]
Zhao Y, Chen D.
europepmc +1 more source
Our research establishes a hybrid feature selection and ensemble machine learning pipeline for the classification of euthyroid, hyperthyroid, hypothyroid, and subclinical hypo‐ and hyperthyroid disorders. Variance Threshold with Backward Feature Elimination attained nearly 100% accuracy, while SHAP and LIME clarified the significance of features and ...
Md. Minhajul Abedin +5 more
wiley +1 more source
LSTMCNNsucc: A Bidirectional LSTM and CNN-Based Deep Learning Method for Predicting Lysine Succinylation Sites. [PDF]
Huang G, Shen Q, Zhang G, Wang P, Yu ZG.
europepmc +1 more source
Toward Autonomous Clinics: Human–Robot Collaboration in Clinical Care
This graphical abstract summarizes the conceptual structure of human–robot collaboration (HRC) for autonomous clinical systems. The framework is organized around a dual‐brain architecture in which a professional brain supports clinical reasoning tasks such as diagnosis, image analysis, treatment planning, and patient monitoring, while a physical brain ...
Xinyuan Wu +8 more
wiley +1 more source
Abstract Multiple sclerosis (MS) arises from an autoimmune response in which the immune system erroneously targets myelin autoantigens within the central nervous system, leading to myelin degradation and subsequent neurological dysfunction. Identifying myelin autoantigenic peptides (MAPs) is therefore critical for understanding MS pathogenesis and ...
Watshara Shoombuatong +4 more
wiley +1 more source
Hybrid deep learning model for brain age prediction using time-distributed convolutional and bidirectional LSTM networks. [PDF]
Mahmoud E, Elshennawy NM, Elkholy A.
europepmc +1 more source
ABSTRACT Background Despite the extensive research on skill assessment in minimally invasive surgery, applications in open surgery (OS) remain limited. Methods Twenty trainees performed three OS tasks—knot tying (KT), continuous suturing (CS), and interrupted suturing (IS)—yielding 201 trials.
Constantinos Loukas +4 more
wiley +1 more source
Enhancing cardiac disease prediction with explainable bidirectional LSTM. [PDF]
Lipsa S +5 more
europepmc +1 more source

