A1
ID 0040
Posters
Poster Session A - Wednesday 2 September 2026, 16:45-18:30, Museo di Arte Classica, Sapienza University of Rome.
HomePosters
Biostatistics
A2
ID 5486
Functional Shapley Representations for Longitudinal Random Survival Forests using Hierarchical FPCA
A3
ID 8845
Comparative Deep Learning and Statistical Analysis for Spatial Prediction of Lymph Node Metastasis in Gastric Cancer
A4
ID 4182
Spatial host pathogen transcriptomics maps bacterial burden linked urothelial injury and repair in bladder infection
A5
ID 0078
Early Warning of Extremely Rare Events from Pediatric Cardiac Intensive Care Electronic Health Records
A6
ID 0060
QFARM - hierarchical quantitative association rule mining
A7
ID 0024
Modified Gompertz Function in Quantitative Evaluation of Endolysin Lytic Activity in Physiological Fluids
Medical Informatics
A8
ID 0085
AEGLOS V7: Hyperbolic Digital Pathology for Morphology-to-Genomics Prediction in Advanced Non-Small Cell Lung Cancer
A9
ID 3784
A new MRI-based feature for quantifying the Diffuse Low-Grade Glioma brain infiltration and discriminating patterns of patients
A10
ID 6293
On the adoption of Quantum Machine Learning for Privacy-Preserving and Explainable Diabetic Retinopathy Detection and Localisation
A11
ID 0068
FFPE-Open-ST: high-resolution, unbiased spatial transcriptomics profiling of archival samples
A12
ID 0054
Beyond the Diagnosis: Semi-Automated Risk Analysis of Inappropriate Antibiotic Prescribing in Mexico and the Potential for Real-Time Alerts
Bioinformatics
A13
ID 0072
Quantum Optimization for Protein-Protein Interaction Network Alignment
A14
ID 0034
Quantum Annealing for De Novo Genome Assembly
A15
ID 0087
Benchmarking LLMs for automated systems biology model replication
A16
ID 3745
Analysis of Prompt Engineering for Drug Toxicity Prediction
A17
ID 0059
Autoresearch Discovery of Interpretable Filter Rules for Antibody Binder Classification
A18
ID 5995
Statistical Model Checking of Uncertain Continuous Time Markov Chain in Systems Biology
A19
ID 5265
A ML-powered Multiscale Computational Platform Based on QSP and PBPK Modeling to Support the Development of mRNA-based Therapies
A20
ID 0029
Computational Framework for the Design of Second-Generation Pharmacochaperones Targeting Allosteric Pockets
A21
ID 0077
Pathway-Mediated Networks for Drug Repurposing in Breast Cancer
A22
ID 0089
Large-scale analysis and clustering of RNA 3D structures
A23
ID 0062
Machine learning approaches for predicting functional lncRNAs and key regulatory interactions in plant gene networks
A24
ID 0023
Computational Prediction of Pathogenic FMR1 Variants in Fragile X Syndrome
A25
ID 0047
VISMA: Vector Integration Site Mutation Analysis
A26
ID 0022
A Network Story: tumor educated platelets transcriptome and Glioblastoma
A27
ID 0033
FLiCoN: Friendship Like differential Coexpression Network for the identification of Tumor-Educated Platelets Driver Genes in Glioma via structural Imbalance
A28
ID 0070
Beyond Differential Expression: Network Centrality measures reveal Tissue-Specific Signatures in Tumor-Educated Platelets
A29
ID 0066
Investigating Immunotherapy Response in Non-Small Cell Lung Cancer Using Machine Learning and Differential Networks
A30
ID 0095
Repeats Enrichment Analysis of sequencing Datasets (READs) reveals unique repair and transcription dynamics of human satellites
A31
ID 0079
Mutational signature in Mycobacterium tuberculosis under pretomanid and nitric oxide exposure
A32
ID 0050
geneslator: a R package for comprehensive gene identifier mapping and annotation
A33
ID 0044
REV-AGE and REV-AGE 2.0: From Systematic Evidence Mapping to AI-Guided Mechanistic Discovery in Aging Research
A34
ID 0035
Toward Accessible and Reproducible Bioinformatics Workflows for Nanopore-Based Virus Surveillance
A35
ID 0086
Learning Read-Level joint genomic and epigenomic status representations from Nanopore sequencing data using Jesica-Fetcher and NTv3-like architecture
A36
ID 0083
Single-Molecule Tissue-of-Origin Profiling for Prenatal and Oncology cfDNA Applications
A37
ID 0030
Integrative analysis of multi-modal single-cell data reveals chromosome alterations underlying critical disease development stages: a proof-of-principle in MDS
A38
ID 0036