ICCABS 2023: 2023 12TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL ADVANCES IN BIO AND MEDICAL SCIENCES
PROGRAM

Days: Monday, December 11th Tuesday, December 12th Wednesday, December 13th

Monday, December 11th

View this program: with abstractssession overviewtalk overview

09:15-10:15 Session 1: 1st Keynote Talk

1st Keynote Talk

09:15
Growing Opportunities for Computational Advancements in Biomedical Research (abstract)
10:30-12:30 Session 2A: ICCABS - Immunotherapy and Cancer Research

ICCABS - Immunotherapy and Cancer

10:30
Single-cell RNA-sequencing analysis of breast tumor infiltrating lymphocytes treated with localized ablative cancer immunotherapy (abstract)
10:54
Cancer and Tissue Prediction Using Mutational Signatures in Highly Mutated Cancers (abstract)
11:18
Decoding Heterogeneity in Quadruple-Negative Breast Cancer: A Data-Driven Clustering Approach (abstract)
11:42
A Unified Machine Learning Framework for Multi-subtype Tumour Classification across Diverse Datasets (abstract)
12:06
DNA Methylation Based Subtype Classification of Breast Cancer (abstract)
10:30-12:30 Session 2B: CAME Workshop - I

CAME Workshop - I

Location: OMU Scholars
10:30
Antigenic cooperation and cross-immunoreactivity networks
10:54
Hashed Embeddings: A Promising Technique for Efficient Protein Sequence Representation
11:18
Assessment of PHRED Score Characteristics in Illumina MiSeq Amplicon Sequencing
11:42
Gaussian Beltrami-Klein Model for Protein Sequence Classification: A Hyperbolic Approach
12:06
Mitogenome Assembly from Ultraconserved Elements Sequencing Reads
13:30-14:30 Session 3: 2nd Keynote Talk

2nd Keynote Talk

13:30
Unraveling the Early-Life Origins of Nonalcoholic Fatty Liver Disease (NAFLD) Using Multi-'Omics Approaches (abstract)
14:30-16:30 Session 4A: ICCABS - Deep Learning and Predictive Models

ICCABS- Deep Learning and Predictive Models

14:30
SpaNN: a flexible deep neural network framework for predicting the transcript distribution of the spatial transcriptomics (abstract)
14:54
An Explainable Deep Learning Framework for Mandibular Canal Segmentation from Cone Beam Computed Tomography volume (abstract)
15:18
FedDP: Secure Federated Learning with Differential Privacy for Disease Prediction (abstract)
15:42
Optimizing Deep Learning for Biomedical Imaging (abstract)
16:06
Automated Formalization of Biological Model Properties into Temporal Logics using Large Language Models (abstract)
PRESENTER: Sunny Raj
14:30-16:30 Session 4B: CAME Workshop - II

CAME Workshop - II

Location: OMU Scholars
14:30
A rigorous benchmarking of methods for SARS-CoV-2 lineage abundance estimation in wastewater
14:54
Tracking and modeling the dynamics of evolving SARS-CoV-2 Variants
15:18
Clustering-Based Multi-Characteristic Comparative Analysis of COVID-19 Epidemiology in Europe
15:42
Early detection of emerging viral variants with altered phenotypes using viral epistatic networks
16:06
On Multi-Phase Metagenomics Reads Binning (abstract)
17:00-18:30 Session 5: Poster Session

Poster Session

VISTA: An integrated framework for structural variant discovery (abstract)
Genetic Predisposition to Alcoholism Significantly Alters the Functional Connectivity of the Brain (abstract)
A Model for Elucidating the Single Molecule Synthesis Process through Temporal Information (abstract)
A rigorous benchmarking of methods for SARS-CoV-2 lineage abundance estimation in wastewater (abstract)
Role of walnut-derived urolithins in reducing colonic inflammation in a patient cohort elucidated by an integrated omics analysis (abstract)
Computational tumor progression analysis via seriation based trajectory inference (abstract)
Predicting Antibiotic Metabolites with One and Two-Steps in Silico Biotransformations to Support Identification of Unknown Chemicals in Exposome and Metabolome Studies (abstract)
Exploring Protein Design Landscapes with Semi-Supervised Adaptive Sampling (abstract)
A Simple and Interpretable Deep Learning Model for Diagnosing Pneumonia from Chest X-Ray Images (abstract)
Network-Based Bioinformatics Highlights Broad Importance of Human Milk Hyaluronan (abstract)
mRNA stability prediction (abstract)
PHViT4Lung: Parallel Hybrid Vision Transformers Augmented by Transfer Learning to Enhance Lung Cancer Diagnosis (abstract)
Integrating Neural Networks into DNA Sequence-Based Predictions of RSS Functionality and Activity Level
Fast Multi-level Neural Networks to Overcome Bias in Healthcare Applications (abstract)
Investigating Microbial Community Functions in Chronic Bacterial Infections (abstract)
A computational framework for identifying TCell Receptor specificity in single cell resolution (abstract)
Tuesday, December 12th

View this program: with abstractssession overviewtalk overview

09:00-10:00 Session 6: 3rd Keynote Talk

3rd Keynote Talk

09:00
Computational and modeling aspects of analyzing high-throughput genomic data (abstract)
10:30-12:30 Session 7A: ICCABS - Sequence Analysis

ICCABS - Sequence Analysis

10:30
A rigorous benchmarking of alignment-based HLA typing algorithms for RNA-seq data
10:54
Identification of Chimeric RNAs: a novel machine learning perspective (abstract)
11:18
A Novel String Map-Based Approach for Distance Calculations with Applications to Faster Record Linkage (abstract)
11:42
Preserving Hidden Hierarchical Structures: Poincaré Distance for Enhanced Genomic Sequence Analysis
12:06
On the Hardness of Wildcard Pattern Matching on de Bruijn Graphs (abstract)
10:30-12:30 Session 7B: ASI Workshop - I

ASI Workshop - I

Location: OMU Scholars
10:30
Single-cell RNA sequencing reveals the atlas of a breast tumor microenvironment and the remodeling by photo-immunotherapy
10:54
Single cell RNA phylogenetics of cancer
11:18
Adaptive receptor repertoire profiling methods for RNA sequencing
11:42
Investigating Microbial Community Functions in Chronic Bacterial Infections (abstract)
12:06
Association of baseline tumor-specific neoantigens and CD8+ T infiltration with immune-related adverse events secondary to immune checkpoint inhibitors
13:30-15:30 Session 8A: ICCABS - Machine Learning Models

ICCABS - Machine Learning Models

13:30
Repeated Measures Latent Dirichlet Allocation for Longitudinal Microbiome Analysis (abstract)
13:54
GenoDiffusion: Conditional Denoising Diffusion Model for Genomic Data Augmentation (abstract)
14:18
PartialFibers: An efficient method for predicting Drug-Drug Interactions (abstract)
14:42
Machine Learning Application for Predicting Smoking Cessation Among US Adults: An Analysis of Waves 1-5 of the PATH Study (abstract)
15:06
ParMEC: A Set of Algorithms for Parallel Metagenomic Error Correction (abstract)
13:30-15:30 Session 8B: ASI Workshop - II / CASCODA Workshop - I

ASI Workshop II / CASCODA Workshop I

Location: OMU Scholars
13:30
Improved inference of single-cell haplotype-aware copy numbers in cancer
13:54
Epigenetic regulation of endogenous viral elements in the aging brain
14:18
Genotyping complex immune loci using integer linear programming
14:42
Incorporating structural variation into single-cell clonal lineage inference
15:06
Benchmarking computational methods for single-cell chromatin data analysis
16:00-17:36 Session 9A: ICCABS - Deep Learning and Biomedical Imaging

ICCABS - Deep Learning and Biomedical Imaging

16:00
Enhancing Biomedical Research Using Novel Optical Imaging Technologies and Deep Learning (abstract)
16:24
Improving Disease Comorbidity Prediction with Biologically Supervised Graph Embedding (abstract)
16:48
A 3D Deep Learning Architecture for Denoising Low-Dose CT Scans (abstract)
17:12
Lightweight and Generalizable Model for COVID-19 Detection Using Chest Xray Images (abstract)
16:00-17:36 Session 9B: CASCODA Workshop - II

CASCODA Workshop - II

Location: OMU Scholars
16:00
A deep neural network to de-noise single-cell RNA sequencing data (abstract)
16:24
Plastic: An easy to use and modular tool for designing tumor phylogeny reconstruction pipelines
16:48
Computational framework for spatial omics analysis of colon polyp tissue
17:12
A Computational Atlas for Transcriptomic Exploration of M. buryatense Using Unsupervised Machine Learning and Interactive Data Visualization (abstract)
Wednesday, December 13th

View this program: with abstractssession overviewtalk overview

08:30-10:30 Session 10A: ICCABS - Neural Networks and Neuroscience

ICCABS - Neuroscience session, including topics in Neuroscience and Neural Networks.

Location: OMU Scholars
08:30
Multilayer Network Analysis of Brain Signals for Detecting Alzheimer’s Disease (abstract)
08:54
Functional Connectivity Disruptions in Alzheimer’s Disease: A Maximum Flow Perspective (abstract)
09:18
Exploring a Solution Curve in the Phase Plane for Extreme Firing Rates in the Izhikevich Model (abstract)
PRESENTER: Chu-Yu Cheng
09:42
AFA: Abstract Functional Analysis Identifies New Microglial Subtypes at Single Cell Level in Alzheimer’s Disease (abstract)
10:06
How to Record a Phantom Sound - Tinnitus Assessment via Electrophysiology (abstract)
08:30-10:30 Session 10B: CANGS Workshop - I

CANGS Workshop - I

08:30
Towards improved reconstruction of single-cell copy number phylogenies
08:54
Single-cell Multiomics Clustering Using Graph Embedded Contrastive Learning
09:18
A Rigorous Benchmarking of alignment-based HLA callers for RNA-seq data (abstract)
09:42
VISTA: An integrated framework for structural variant discovery
10:06
Genetic Algorithm with Evolutionary Jumps (abstract)
10:45-12:45 Session 11: ICCABS / CANGS Workshop - II

ICCABS / CANGS Workshop - II

10:45
Role of Data Assimilation in Prediction: Potential applications to Biological and Medical Sciences (abstract)
11:09
An exact matching method for 16S rRNA taxonomy classification
11:33
Assessing Microbial Genome Representation Across Various Reference Databases: A Comprehensive Evaluation
11:57
A Hybrid Approach for Antibiotic Resistance Gene Characterization: Leveraging Pre-trained Protein Language Models and Alignment-Based Scoring
12:21
Multiomics, Causality, and Longitudinal microbiomics
12:45-13:30 Closing Remarks and Lunch

Lunch (Fajita bar) and Closing Remarks