Computational Intelligence Methods for Bioinformatics and Biostatistics -- A Smartphone-Based Clinical Decision Support System for Tremor Assessment -- cyTRON and cyTRON/JS: two Cytoscape-based applications for the inference of cancer evolution models -- Effective use of evolutionary computation to parameterise an epidemiological model -- Extending knowledge on genomic data and metadata of cancer by exploiting taxonomy-based relaxed queries on domain-specific ontologies -- GAN-Based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis -- Improving the Fusion of Outbreak Detection Methods with Supervised Learning -- Learning cancer drug sensitivities in large-scale screens from multi-omics data with local low-rank structure -- Mass Spectra Interpretation and the Interest of SpecFit for Identifying Uncommon Modifications -- MSAX: Multivariate symbolic aggregate approximation for time series classification -- NeoHiC: a Web Application for the Analysis of Hi-C Data 100 Random sample consensus for the robust identification of outliers in cancer data -- Solving Equations on Discrete Dynamical Systems -- SW+: On Accelerating Smith-Waterman Execution of GATK HaplotypeCaller -- Algebraic and Computational Methods for the Study of RNA Behaviour -- Algebraic Characterisation of Non-coding RNA 141 Bi-Alignments as Models of Incongruent Evolution of RNA Sequence and Secondary Structure -- Label Core for Understanding RNA Structures -- Modification of Valiant's Parsing Algorithm for the String-Searching Problem -- On Secondary Structure Analysis by Using Formal Grammars and Artificial Neural Networks -- Intelligence methods for molecular characterization and dynamics in translational medicine -- Integration of single-cell RNA-sequencing data into flux balance cellular automata -- Machine Learning in Healthcare Informatics and Medical Biology -- Characterizing bipolar disorder-associated single nucleotide polymorphisms in a large UK cohort using Association Rules -- Evaluating deep semi-supervised learning for whole-transcriptome breast cancer subtyping -- Learning Weighted Association Rules in Human Phenotype Ontology -- Network modeling and analysis of normal and cancer gene expression data -- Regularization techniques in Radiomics: A case study on the prediction of pCR in Breast Tumours and the Axilla -- Modeling and Simulation Methods for Computational Biology and Systems Medicine -- In Silico evaluation of daclizumab and vitamin D effects in Multiple Sclerosis using Agent Based Models -- Multiple Sclerosis disease: a computational approach for investigating its drug interactions -- Observability of bacterial growth models in bubble column bioreactors -- On the simulation and automatic parametrization of metabolic networks through Electronic Design Automation.