Predicting intraocular pressure using neural networks: Incorporating eye fundus images and clinical data from PAPILA dataset
Predicting MGMT Methylation in Glioblastoma for Informed Clinical Decisions: An AI-Driven Approach in Resource-Limited Settings
Integrating Immune Multi-Omics and Machine Learning to Improve Prognosis, Immune Landscape, and Sensitivity to First- and Second-Line Treatments for Head and Neck Squamous Cell Carcinoma
Exploiting Question-Answer framework with multi-GRU to detect Adverse Drug Reaction on social media
Bidirectional Chemical Intelligent Net: A unified deep learning–based framework for predicting chemical reactions
Machine Learning-Based Prediction Models for the Prognosis of COVID-19 Patients with DKA
A genetic perspective on the recent demographic history of Ireland and Britain
Identifying causal genes in alopecia areata using integrative analysis of differential expression and Mendelian randomization
Bioactive Compounds Derived from Sargassum wightii Exhibit Antibacterial Activity against Multi-Drug Resistant Acinetobacter baumannii
Multi-omics analysis reveals an anoikis-related signature for non-small cell lung cancer