Chemical Neural Networks and Synthetic Cell Biotechnology: Preludes to Chemical AI
Development of Bayesian network for multiple sclerosis risk factor interaction analysis
Real-Time Automatic Plankton Detection, Tracking and Classification on Raw Hologram
The first in-silico model of leg movement activity during sleep
Transfer learning and magnetic resonance imaging techniques for deep neural network-based diagnosis of early cognitive decline and dementia
Improving bacterial sRNA identification by combining genomic context and sequence-derived features
High-dimensional multi-trait GWAS by reverse prediction of genotypes using machine learning methods
A Non-Negative Matrix Tri-Factorization based Method for Predicting Antitumor Drug Sensitivity
A Rule-based Approach for Generating Synthetic Biological Pathways
Machine Learning Classifiers based on Dimensionality Reduction Techniques for the Early Diagnosis of Alzheimers Disease using Magnetic Resonance Imaging and Positron Emission Tomography Brain Data
Text Mining Enhancements for Image Recognition of Gene Names and Gene Relations
Sentence Classification to Detect Tables for Helping Extraction of Regulatory Interactions in Bacteria
RF-Isolation: a Novel Representation of Structural Connectivity Networks for Multiple Sclerosis Classification
Summarizing Global SARSCoV2 Geographical Spread by Phylogenetic Multitype Branching Models
Explainable AI Models for COVID-19 Diagnosis using CT-Scan Images and Clinical Data
The need of standardised metadata to encode causal relationships: Towards safer data-driven machine learning biological solutions
Deep Recurrent Neural Networks for the Generation of Synthetic Coronavirus Spike Protein Sequences
Recent Dimensionality Reduction Techniques for High-Dimensional COVID-19 Data
Soft brain ageing indicators based on light-weight LeNet-like neural networks and localized 2D brain age biomarkers.