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ORCID17th BCB 2026: Rende, Italy
- Pierangelo Veltri, Giuseppe Pozzi, Patrizia Vizza, Matteo Mantovani, Pietro Hiram Guzzi, Yunan Luo, Li Shen:
Proceedings of the 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, BCB 2026, Rende, Italy, 30 June 2026 - 3 July 2026. ACM 2026, ISBN 979-8-4007-2653-8
Regular Papers
- Alexander Nemecek, Wenbiao Li, Xiaoqian Jiang, Jaideep Vaidya, Erman Ayday:
Quantifying Memorization and Privacy Risks in Genomic Language Models. 1:1-1:10 - Mahjabeen Tamanna Abed, Xinghui Zhao:
Multimodal Fusion and Adaptive Learning for Cardiopulmonary Classification. 2:1-2:10 - Matteo Mantovani, Simone Scaglia, Carlo Combi:
Scalability and Saturation in Swarm Learning: A KPI-Driven Analysis on Real-World Clinical Data. 3:1-3:10 - Xinqi Su, Hanyun Yin, Yining Yang, Rongrong Wang, Qiuhao Lu, Sunyang Fu, Hongfang Liu, Ruihong Huang:
Towards Optimal Prompt Design for Clinical Information Extraction using Large Language Models. 4:1-4:10 - Shakib Mahmud Dipto, Soumya Banerjee, Sandip Roy, Ahmad F. Al Musawi, Preetam Ghosh, Sachin Shetty, Pratip Rana:
An Investigation of Federated GNNs under Aggregation, Data Poisoning, and Differential Privacy for ICU Length-of-Stay Prediction. 5:1-5:10 - Jiayu Zhao, Xinzhu Jiang, Chongxiao Mao, Hongyi Xin:
Cross-batch concordant clustering for comprehensive single-cell transcriptomic stratification. 6:1-6:10 - Yuyu Liu, Jiannan Yang, Ziyang Yu, Weishen Pan, Fei Wang, Tengfei Ma:
Efficient Imputation for Patch-Based Missing Single-Cell Data via Cluster-Regularized Optimal Transport. 7:1-7:10 - Taolue Yang, Youyuan Liu, Bo Jiang, Chong Li, Xinghua Shi, Sian Jin:
CuVert-Q: Resolving the Throughput-Ratio Tradeoff in Genomic Sequence Data Compression via GPU Acceleration. 8:1-8:10 - Ashala Senanayake, Zilu Liang:
CIERTe: Continuous Inter-Event Relative Temporal Anchoring for Anxiety Detection from Social Media Posts. 9:1-9:10 - Yue Zhang, Nandini Amit Gadhia, Georgios Karagiannis, Michalis Smyrnakis:
Structured Gaussian Processes for Uncertainty-Aware Classification of High-Dimensional, Small-Sampled Omics Data. 10:1-10:10 - Hajar Homayouni, Veera Venkata Satya Sai Kiran Polu, Ana Julia Morais Arantes, Hossein Shirazi:
CACL: Context-Aware Contrastive Learning for Semantic Modeling of Anomalies in EHR Data. 11:1-11:10 - Danielle Hodaya Shrem, Yaron Orenstein:
iMotifPredictor: i-motif prediction by multi-data integration. 12:1-12:10 - Eunyoung Jang, Euiseong Ko, Mingon Kang:
Inference of Disease-Associated Pathway Interaction Networks using Graph Neural Networks. 13:1-13:10 - Fabrizio Angiulli, Fabio Fassetti, Maria Pia Zupi:
Out-of-Distribution Detection in Medical Imaging Benchmarks using Concentration-Free Density Estimation. 14:1-14:10 - Yunni Qu, Dzung Dinh, Grant King, Whitney R. Ringwald, Bing Cai Kok, Kathleen Gates, Aidan G. C. Wright, Junier Oliva:
Relaxed Efficient Acquisition of Context and Temporal Features. 15:1-15:10 - Hung-Tien Huang, Maxwell Lennon, Shreyas Bhat Brahmavar, Sean Sylvia, Junier Oliva:
Dynamic Information Sub-Selection for Adaptive Decision Support. 16:1-16:10 - Po-Yu Liang, Tibo Duran, Jun Bai:
PepEDiff: Out-of-Distribution Sampling Peptide Binder Design via Protein Embedding Diffusion. 17:1-17:10 - Jingbo Liang, Bruna Jacobson:
Voxel-Based Deep Learning Method for Local Detection of Protein-Ligand Binding Sites. 18:1-18:10 - Yuanxian Li, Siyu Tao, Yimiao Feng, Jie Zheng:
BASIS: An LLM-Empowered Benchmark and Agent System for Inferring Synthetic Lethality. 19:1-19:10 - Kusal Debnath, Pratip Rana, Preetam Ghosh:
Attention-Based Multi-Omics Fusion for Drug Synergy Prediction. 20:1-20:9 - Quang Cat Tuong Duong, Mohammad Golzarijalal, Uwe Aickelin, Ellen Otte:
A Generalized Framework for Multi-fidelity Acquisition Functions for Bioprocessing Applications. 21:1-21:10 - Siyu Tao, Yingfan Rui, Jie Zheng:
SLAMR: LLM-Augmented Multimodal Learning for Cold-Start Synthetic Lethality Recommendation in Cancer Cell Lines. 22:1-22:10 - Sikha Pentyala, Abhinava Bharathi Babu, Joseph C. Ahn, Martine De Cock:
Federated Synthetic Data Generation for Hepatology Research: A UNOS based Evaluation. 23:1-23:10 - Weixi Luo, Cheng Wang, Chongxiao Mao, Yang Yang, Qiuyu Lian, Hongyi Xin:
Reliable Decomposition of Binary and Continuous Correlations in scRNA-seq. 24:1-24:10 - Md Moin Uddin, Mouzhi Ge:
MedFSN-Bench: A Benchmark Corpus for Medical Device Safety. 25:1-25:10 - Yu Zhou, Vladimir Vutov, Susmita Ghosh, Fabienne Meier-Abt, Sibylle Pfammatter, Sandra Kummer, Odit Gutwein, Rosary Yao, Thorsten Zenz, Matthias Gunzer, Junyan Lu, Jianxu Chen:
Beyond Binning: Resolution-Preserving MS1 Pretraining for Clinical Proteomics Classification. 26:1-26:10 - Abhishek H. S, Akash Ganamukhi, Abhimanyu Suresh, Aditya G. Hiremath, Prasad B. Honnavalli, Adithya Balasubramanyam:
Transformer-Guided Graph Attention for Direct Cardiac Mesh Reconstruction: A Structural Digital Twin Framework. 27:1-27:9 - Bryan Cheng, Austin Hanchi Jin, Jasper Zhang:
When Does Conformer Geometry Help? Selective Complementarity of 3D Ensemble Statistics and 2D Fingerprints. 28:1-28:9 - Farica Zhuang, Zixuan Wen, Christos Davatzikos, Li Shen:
Expert-Driven Survival Machines: Improving Stratification and Interpretability in Multiple Clinical Cohorts. 29:1-29:10 - Mohammed Al-Ani, Siddhi P. Jani, Halima Bensmail, Raghvendra Mall:
CLIP-AML: Contrastive Learning Framework for AML treatment response prediction. 30:1-30:10 - Manjveekar Prabantu Vasam, Mengbo Wang, Shourya Verma, Luopin Wang, Ananth Grama, Nadia Atallah Lanman:
Velocity-Weighted Gene Regulatory Modeling Identifies Drivers of Drug-Induced Plasticity. 31:1-31:10 - Zihan Li, Tianyu Kang, Ping Chen, Yash Gondkar, Wei Ding:
SkillNet: Open-Style Skill Acquisition and Adaptive Inference for Robust Biomedical Deep Learning. 32:1-32:10 - Jaroslaw Zola, Andrew J. Mikalsen, Devendra Rana, Dong Xie, Douglas B. Rumbaugh, Zhuoyue Zhao:
Generic and Easy Method to Update Static Text Indexes. 33:1-33:10 - Bryan Cheng, Jasper Zhang, Austin Jin:
DegradoMap: Multi-Modal Protein Representations Enable Pre-Synthesis Prediction of PROTAC Degradability. 34:1-34:10 - Po-Yu Liang, Wei Wang, Zeyu Wang, Jun Bai:
Hierarchical Enzyme Classification with Integrated Sequence and Folding‑Derived Representations. 35:1-35:10 - Lening Zhao, Tianhua Zhai, Li Shen:
UniPocket: Unified Ligand and Cryptic Pocket Prediction from Protein Language Model Embeddings. 36:1-36:9 - Yunni Qu, Bhargav Vaduri, Karthikeya Jatoth, James Wellnitz, Dzung Dinh, Seth Veenbaas, Jonathan Chapman, Alexander Tropsha, Junier Oliva:
Reliable OOD Virtual Screening with Extrapolatory Pseudo-Label Matching. 37:1-37:10 - Sonal Jha, Saikat Dey, Wu Feng:
A Multimodal Graph-based Approach for Early and Explainable Health Risk Assessment. 38:1-38:10 - Zexuan Wang, Zhuoping Zhou, Qipeng Zhan, Li Shen:
Faithful Supervised Dimensionality Reduction for Biomedical Data via Decision Geometry. 39:1-39:10 - Aashamsu Nepal, Ruben Nuredini, Gerrit Meixner:
When Medical LLMs Eat Their Own Output: The Effects of Recursive Self-Training on German Medical Text. 40:1-40:10
Short Papers
- Md Kamran Hussin Chowdhury, Proloy Kumar Mondal, Md Raj Kabir:
DisentangleCascade: Disentangled Representation Learning with Uncertainty-Driven ROI Zoom for Skin Lesion Classification. 41:1-41:6 - Daniele Malpetti, Christian Berchtold, Francesco Gualdi, Marco Scutari, Laura Azzimonti, Francesca Mangili:
FPLIER: Federated Pathway-Level Information Extractor. 42:1-42:6 - Chengqian Zhang, Kyumin Lee, Zhongyi Tong:
A Two-Stage Fusion Framework for Few-Shot Species Identification from Melting Curve Data. 43:1-43:6 - Xinran Wang, Bowen Liu, Dawn Wiest, Zeyuan Qiu, Dianxiang Xu, Mei R. Fu, Zhiqiang Chen:
Trigger-Outcome Analysis with Adjusted Risk-Difference Envelopes for Substance Use Disorder at a Community Scale. 44:1-44:6 - Carson Green, Ali Momennsab, Maxwell Nguyen, Ethan Reidel, Siddhi Narayan, Sai Phani Krishna Parsa, Sai Chandra Kosaraju:
Slide-Omics: An Interpretable Bi-Directional Attention Framework for Integrating Multi-Omics and Pathology in Cancer Survival Analysis. 45:1-45:6 - Fei Wang, Yang Zhang, Yue Chen, Hai Chen, Dongliang Yang, Xiujuan Lei, Fang-Xiang Wu, Yansen Su, Junfeng Xia:
A Multi-View Fusion Framework Integrating Graph Representations and Pre-trained Models for Drug-Target Mechanisms of Action Prediction. 46:1-46:6 - Lorenzo Ruggeri, Manuel Tognon, Rosalba Giugno:
WaveDNA: Wavelet-Based Encoding Enables Transfer Learning from Vision Models for Transcription Factor Binding Site Prediction. 47:1-47:6 - Likitha P, Smera Arun Setty, Lolitha Y, Manya Chandrashekhar Gaonkar, Ayush Dangi, Prasad B. Honnavalli, Adithya Balasubramanyam:
MedDreamBooth: Structure-Guided Chest X-Ray Generation with Fine-Tuned Stable Diffusion. 48:1-48:6 - Anushree Bhople, Aakash Anil Kolekar:
Mathematical Insights into Tumor-Immune Interactions: A Stochastic and Delayed Response Model. 49:1-49:6 - Noelia Barranco Godoy, Marian Diaz-Vicente, Sergio González-Cabeza, Mario Sanz-Guerrero, Belén Díaz-Agudo, Juan A. Recio-García:
Explainable Deep Learning for Multi-Label ECG Classification: Clinical Validation and Analysis of Signal Transformations. 50:1-50:6 - Pratul Gupta, Satvik Yechuri, Praneet Raj Lingamallu:
Adaptive State-Dependent Integration for Efficient And Scalable Simulation of the Izhikevich Neuron Model. 51:1-51:6 - Juan Diaz-Lara, Ernestina Menasalvas Ruiz, Alejandro Rodríguez González, Paloma Tejera-Nevado:
Integrating Molecular Dynamics and Structure Analysis to Reveal Context-Dependent Effects of Disease-Associated TSHR Variants. 52:1-52:6 - Mirna Elizondo, Daniel J. Amante, Jelena Tesic:
PRECISION-Connect: AI-Ready Multimorbidity and SDOH Risk Vectors for Explainable 30-Day Readmission and County-Level Disparity Modeling. 53:1-53:6 - Aldo Marzullo, Abdelrahman Ali Mohamed Dafalla, Elena De Momi:
Assessing Subgroup Fairness in Clinical Missing Data Imputation: A Case Study Using MIMIC-IV. 54:1-54:6 - Desta Haileselassie Hagos, Saurav Keshari Aryal, Patrick Ymele-Leki, Anietie Andy, Legand L. Burge:
Deep Temporal Modeling and Ensemble Fusion for Multimodal Emotion Recognition from Physiological Signals. 55:1-55:6 - Usman Ali, Abdullahi Abubakar Imam, Rosyzie Anna Apong:
MoCo-DRG: Patch and Image-Level Self-Supervision for Generalizable Diabetic Retinopathy Grading. 56:1-56:6 - Allison Austin, Shilpika, Aditya Tanikanti, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma:
Interactive Visual Analytics for Generating and Exploring LLM-Predicted Protein-Protein Interactions. 57:1-57:6 - Aruzhan Bolatova, Mai Oudah:
Endometriosis Screening Using Machine Learning And Microbiome Analysis. 58:1-58:6 - Ismael Villanueva-Miranda, Zifan Gu, Guanghua Xiao, Yang Xie:
HarmoMed: An Agentic Framework for Auditable Multimodal Biomedical Data Harmonization. 59:1-59:6 - Jillur Rahman Saurav, Thuong Pham, Pritam Mukherjee, Paul Yi, Brent A. Orr, Jacob M. Luber:
UNIStainNet: Foundation-Model-Guided Virtual Staining of H&E to IHC. 60:1-60:6 - Gilchan Park, Guang Zhao, Byung-Jun Yoon, Shinjae Yoo:
Auditing Retrieval-Augmented LLM Hypotheses for Longitudinal Cell Painting Morphology. 61:1-61:6 - Shashank Pathak, Guohui Lin:
ppLM-CO: Parameter-Efficient Codon Optimization with Frozen Pre-trained Protein Language Model and Guaranteed Translation Fidelity. 62:1-62:6 - Aldo Marzullo, Sebastián Andrés Cajas Ordóñez, Leo Anthony Celi, Elena De Momi:
Assessing Utility-Leakage Trade-offs in Coreset Selection for Chest X-Ray Embeddings. 63:1-63:6 - Jannek Maximilian Sekowski, Luisa Persau, Alexander Raphael Fichtenberg, Danilo Lofaro, Carlo Adornetto:
Multimodal Deep Learning for Predicting Treatment Outcomes in Acute Ischemic Stroke: A Comparative Analysis of Clinical, Structural, and Perfusion Data. 64:1-64:6 - Kim Andy Ystebø, Carl-Eirik Dahl Johnsen, Lars-Even Stubberud Andersen, Bithi Banik, Debasish Ghose:
Adversarially Robust Federated Learning for IoMT-based Physiological Condition Monitoring: A Benchmark Dataset and ML-Aided Aggregation Framework. 65:1-65:6 - Sahand Hamzehei, Mostafa Karami, Afsana Ahsan Jeny, Stephen Andrew Baker, Tucker Van Rathe, Clifford Yang, Sheida Nabavi:
Quantum Information-Inspired Distance Functions for Siamese Networks in Longitudinal Mammogram Imaging. 66:1-66:6 - Guojing Cong, Parker Combs, Jeremy Ericson, Scott Auerbach:
TransTissueFormer : Translating Transcriptomic Profiles Between Tissues. 67:1-67:6 - A. S. M. Bakibillah, Hampei Sasahara, Jun-ichi Imura:
Graph Neural RNA Velocity: Manifold-Aware Prediction of Single-Cell State Transitions from Spliced/Unspliced Counts. 68:1-68:6 - Ebunoluwa Makinde, Farhad Maleki, Alan M. Rosenberg, Katie L. Ovens:
Evaluating Retrieval‑Augmented Open‑Source LLMs for Generating Context‑Rich Gene Sets. 69:1-69:6 - Li Tong, Qunfang Mao, Jing Lin, Peng Huang:
Large-Scale Synthetic Data-Driven Fine-Tuning SegGPT for In-Context Key Point Detection in Medical Imaging. 70:1-70:6 - Everest Yang, Ria Vasishtha, Andrew Hope, Lisa A. Kachnic, Eric Wang, Igor Shuryak:
Estimating Continuous Chemotherapy Effect Trajectories in Head and Neck Squamous Cell Carcinoma. 71:1-71:6 - Sajib Acharjee Dip, Liqing Zhang:
Patch-Level Tissue Context Improves Learning from Frozen Pathology Foundation Model Embeddings. 72:1-72:6 - Mohammadjavad Zohrabi, Gamze Gürsoy, Russell Bowler, Katerina J. Kechris, Farnoush Banaei Kashani:
AE-AEPD: Repurposing Adversarial Evasion for Cross-Omics Linkage Defense. 73:1-73:6 - Yang Lu, Justin Zhan, Jichao Chen:
EvoMod: Evolutionary Optimization of Modular Prompts for Biomedical Relation Extraction. 74:1-74:6 - Junxiang Chen, Justin L. Couetil, Nigel Gordon Maher, Richard A. Scolyer, Ahmed Alomari, Kun Huang, Jie Zhang:
PNEA-MIL: Interpretable Multiple-Instance Learning for Whole-Slide Images through Positive-Negative Evidence Analysis. 75:1-75:6 - Shiv Shankar:
CSTATE: Predicting cellular responses to perturbations. 76:1-76:6 - Zhiyi Zheng, Xin Chen:
Learning and Neutralizing Structured Stochasticity in DNA Synthesis for Deterministic Entropy Conditioning. 77:1-77:6 - Yiming Liao, Zeno Franco, Jose Eduardo Lizarraga Mazaba, Keke Chen:
Med-HEAL: Analyzing and Mitigating Hallucinations in Medical LLMs with Hallucination-Aware In-Context Learning. 78:1-78:6 - Alessandro Stefano, Nicolò Lauciello, Enrico Rizzo, Gaia Pucci, Giovanni Pasini, Alessia Finti, Giusi Irma Forte, Franco Marinozzi, Giorgio Russo, Fabiano Bini:
Feasible radiomics workflow for the zebrafish model: a preliminary study. 79:1-79:5 - Pablo Arozarena Donelli, Simone Rancati, Giovanna Nicora, Riccardo Bellazzi, Enea Parimbelli, Luigi Portinale:
Exploring the Evolutionary Landscape of AI-Generated Viral Sequences: a Case Study on HIV-1. 80:1-80:6 - Phuong Cam Thai, Mario Hidalgo Soria, Jacob Ede Levine, Chen Yun Wen, Yun Lyna Luo, Sai Chandra Kosaraju:
Variational Generative Modeling for Forecasting Protein Diffusion from Molecular Dynamics. 81:1-81:6 - Sovon Chakraborty, Eleni Adam, Terry Stilwell, Harold Riethman, Desh Ranjan, Pratip Rana:
AttF-GNN: An Attention-Based Multi-omics Graph Neural Network with Modality Learning for Disease Subtyping. 82:1-82:6 - Karl Paygambar, Adda-Akram Bendoukha, Oana Stan, Mallek Mziou, Vincent Meyer:
Assessing BRCA Subtyping fairness with Ancestry-aware and Secure Federated Learning. 83:1-83:6 - Ashley Babjac, Adrienne Hoarfrost:
An Active Learning Framework for Data-Efficient, Human-in-the-Loop Enzyme Function Prediction. 84:1-84:6 - Jingyu Qian, Aleksander Ksiazkiewicz, Jane Patricia Betchley, Stephen Schneider, Carl A. Gunter:
Exploring User Perspectives on Security and Privacy of Genetic Home Testing. 85:1-85:6 - Kamal Al-Nasr, Ahmad Jad Allah, Mohammad Alamri, Mohammad Al Sallal:
Context-based Hierarchical Backbone-Dependent Rotamer Library. 86:1-86:6 - Ziyan Song, Xiaoqing Huang, Jiahui Liu, Junxiang Chen, Travis Steele Johnson, Jie Zhang, Kun Huang:
Integrative Multi-Omics Approach with Graph Attention Network and Cross-Attention to Uncover Alzheimer's Disease Subtypes. 87:1-87:6 - Tasnimul Alam Taz, Melike Yildirim, Suzan Arslanturk:
CLOVER: A Cross-Cancer Learning Model using Somatic Variant Data for Biomarker Recognition. 88:1-88:6 - Bingkun Liu, Yangfan Xu, Yunpeng Wang, Zihang Wu, Runming Wang:
DeepMetal: A Hierarchical Coarse-to-Fine Framework for Metal-Binding Site Prediction via Protein Language Models and SE(3)-Equivariant Graph Neural Networks. 89:1-89:6 - Riccardo Lunardi, Vincenzo Della Mea, Carsten Eickhoff, Kevin Roitero:
Stochastic Retrieval for Fairness-Accuracy Trade-offs in Clinical RAG. 90:1-90:6 - Chinmay Bhardwaj, Ishaan Saxena, Manoj K. Rajpoot:
Lightweight Discriminative Indel Refinement via Artifact-Aware Alignment Modeling. 91:1-91:6 - Xueheng Lv, Yimiao Feng, Jie Zheng:
GenoME-SL: Genomic-LLM Fused Mechanism Explanation Framework for Synthetic Lethality. 92:1-92:6 - Giuseppe Albi, Giovanni Sclavi, Alberto Malovini, Sandra Atlante, Carlo Gaetano, Riccardo Bellazzi, Arianna Dagliati:
Stratified Molecular Data Splitting using Topological Graph Barycenter. 93:1-93:6 - Proloy Kumar Mondal, Oluwatosin Oluwadare:
HiC-SuperNet: Multi-Scale Attention-Based Deep Learning for High-Resolution Chromatin Contact Map Enhancement. 94:1-94:6 - Silvia Pugliese, Claudia Torino, Raffaele Giancotti, Antonio Demetrio Vilasi, Stefano Curcio:
Sex-specific causal effects of immune gene expression on biological aging in subcutaneous adipose tissue: a DoWhy-based analysis of GTEx data. 95:1-95:6 - Kim Anh Phung, Justin Zhan:
From Genes to Subtypes: Benchmarking Feature Selection in Glioblastoma. 96:1-96:6 - Ahmet Çagatay Savasli, Emre Sefer, Ilknur Karadeniz:
GraphXtract: Adaptive Graph-Based Sentence Selection for Resource-Efficient Lay Summarization with Large Language Models. 97:1-97:6 - Haotian Ma, Yi Lin, Elizabeth Godschall, Bruno Matuck, Kevin Matthew Byrd, Yifan Peng, Jinze Liu:
Understanding Channel Complementarity for Multiplex Cell Segmentation. 98:1-98:6 - Alessandro Stefano, Tommaso Latino, Giovanni Pasini, Alessia Finti, Nicolò Lauciello, Franco Marinozzi, Giorgio Russo, Fabiano Bini:
Graph Signal Processing as an Experimental Approach to Radiomics Analysis. 99:1-99:6 - Shamima Naznin, M. Saifur Rahman:
CB-Gene: A Computational-Biological Framework for Gene Prioritization in High-Dimensional-Low-Sample-Size (HDLSS) Lymphoma Data. 100:1-100:6 - Sajib Acharjee Dip, Liqing Zhang:
Stable-Shift: Predicting Transcriptional Responses of Unseen Gene Perturbations Using Graph Neural Networks with Biological Priors. 101:1-101:6 - Lara Console, Sara Filice, Annamaria Tonazzi, Nicola Giangregorio, Mattia Di Sevo, Cesare Indiveri:
Integrated virtual and wet-lab screening to identify ligands of a SLC benchmark, SLC25A20. 102:1-102:6 - Konghao Zhao, Yimin Wang, Osvaldo Hernandez-Segura, Natalia Khuri:
Multi-Objective Evolutionary Optimization for the Discovery of Structurally Diverse and Active Compounds. 103:1-103:6 - Mohammad Mansoori, Amira Soliman, Farzaneh Etminani:
LTR-ICD: A Ranking-Aware Framework for Automatic ICD Coding. 104:1-104:6 - Fatih Aksu, Laura Ciuffetti, Francesco Di Feola, Filippo Ruffini, Giulia Romoli, Fabrizia Gelardi, Arturo Chiti, Valerio Guarrasi, Paolo Soda:
Virtual Scanning for NSCLC Histology: Investigating the Discriminatory Power of Synthetic PET. 105:1-105:6 - Avelyn Jing:
Feasibility of Risk-Calibrated Early-Termination for Molecular Dynamics Screening of Antifungal Resistance-Mediating ABC Transporter Pockets. 106:1-106:6 - Shiv Shankar:
CellTarNet: Robust Single-Cell Perturbation Prediction using Transformer Generative Model. 107:1-107:6 - Rui Jesus, Luís Godinho, Eduardo Pinho, Shelton Agostinho, Luís Bastião Silva, Carlos Costa:
Secure Integration of Image Analysis Services in Cloud-Based PACS Using an Anonymization Framework. 108:1-108:6 - Bjarte Nerland, Bithi Banik, Yuan Lin, Debasish Ghose:
FedBalance: An Adaptive Cross-Silo Federated Learning Approach for Stress Detection under non-IID Data Distributions. 109:1-109:6 - Chiara Sirtoli, Arianna Dagliati, Marco Vincenzo Lenti, Antonio Di Sabatino, Antonio Ferramosca, Daniele Pala:
Characterization of Temporal Trajectories of Autoimmune Atrophic Gastritis Using a Graph Representation Learning Pipeline. 110:1-110:6 - Riccardo Lunardi, Kevin Roitero, Vincenzo Della Mea:
Probing the Intrinsic Effectiveness of Large Language Models for Medical Classifications. 111:1-111:6 - Howard Prioleau, Santiago Romero-Brufau, Saurav Keshari Aryal, Legand Burge:
Decomposing Adverse Drug Event Extraction via Sentence-Level Inference. 112:1-112:6 - Alessia Finti, Guido Manni, Franco Marinozzi, Fabiano Bini:
A Physics-Informed Generative Framework for Joint Estimation of Biomechanical Parameters and Interaction Forces from Laparoscopic Depth Maps. 113:1-113:6 - Roberto Pagliarini, Alberto Policriti, Michele Morgante:
Study of Cis-regulatory Effects at the Population Level. 114:1-114:6 - Delower Hossain, Fuad Al Abir, Jake Y. Chen:
Generative Artificial Intelligence for de novo Antibody Design and Agentic Evaluation. 115:1-115:6 - Suhyeong Jeon, Louis Dumontet, So-Ra Han, Tae-Jin Oh, Mingon Kang:
IDF-EC: Interpretable Dynamic Feature-Logit Fusion for Enzyme Commission Number Prediction. 116:1-116:6 - Aycan Sahin, Mehmet Ali Erdogan, Utku Sabri Kaya, Ali Cakmak:
MetabOmics: Metabolism-Oriented Omics Data Integration. 117:1-117:6
Poster Presentations (2-page abstract)
- Orit Mazza, Roni Ramon-Gonen, Philip Rosinsky, Galia Cohen Peres, Omri Lubovsky:
Identifying Modifiable Risk Factors for One-Year Mortality After Hip Fracture Using Explainable Machine Learning. 118:1 - Piercarlo Del Console, Luca Gelsomino, Cinzia Giordano, Ines Barone, Stefania Catalano, Balazs Györffy:
Pan-Cancer Integration of Gene Expression and Body Mass Index Data Enables Systematic Exploration of Obesity-Associated Molecular Signatures. 119:1-119:2 - Rui Zhou, Jingjing Zhang, Liangzhen Zheng, Ye Li, Yanjie Wei:
Bridging Literature Mining and Reliable Enzyme Kinetics Prediction via Multimodal Extraction and Multi-Task Learning. 120:1-120:2 - Francesco Casadei, Claudio Fiorini, Alberto Pasti, Andrea Legati, Daniele Ghezzi, Leonardo Caporali:
Combining short- and long- read sequencing with machine learning to decipher multiple deletions patterns in mitochondrial disorders. 121:1 - Muhammad Kashif, Patrizia Vizza, Giuseppe Tradigo, Sergio Flesca:
Task-Conditioned PEFT with Prompt-Aligned ASR Error Structure Fusion for Parkinson's Speech Assessment. 122:1-122:2 - Stefania Galassi, Davide Durante, Francesca Filice, Simone Bartucci, Edoardo De Rose, Maria Pia Zupi, Fabrizio Angiulli, Francesco Calimeri, Fabio Fassetti:
AI-Assisted Pre-Reporting for Head CT Case Prioritization in High-Throughput Healthcare Scenarios. 123:1-123:2 - Chandler N. Buckingham, Kyle Johnson:
A Computational Framework for Deep Phenotyping of Maternal Autonomic Resilience Using 65 Months of Continuous Wearable Biometric Data. 124:1-124:2 - Arissa Islam, Asef Islam:
Towards Computational ASD Prediction via Lung Airway Geometry using Vision Language Models and and Attention for Interpretability. 125:1-125:2 - Mirna Elizondo, Chloe Marie Jones, Jelena Tesic:
N3C Data Analytics for Attribute Importance and Prediction Tasks. 126:1 - Caterina Francesca Perri, Annamaria Defilippo, Valentina Carbonari, Ugo Lomoio, Barbara Puccio:
Extracting Clinical Insights: LLM-Powered EHR Knowledge Graphs. 127:1-127:2 - Sarita Mourya, Francesco Di Feola, Paolo Soda:
3D CT-to-PET Translation via Latent-Guided Contrastive Alignment and Brownian Bridge Diffusion. 128:1-128:2 - Sikha Pentyala, Ziwei Pan, Patrick J. McKeever, Jineta Banerjee, Luca Foschini, Martine De Cock:
Synthetic Germline VCF Generation for Rare Diseases: Case Study in NF1. 129:1-129:2 - Harshit Soni, Gabriel Nixon, Woodward Galbraith, Benjamin M. Gyori:
Weakly Supervised Representation Learning for Cross-Ontology Mapping. 130:1-130:2 - Tanoy Debnath, Anichur Rahman, Md. Shohel Rana, Hayden Wimmer:
Wearable Intelligent System for Non-Invasive Glucose Monitoring Using Quantum Sensing. 131:1-131:2 - Aadhya Vijil, Peng Zheng:
Mol-Detox: Reducing Animal Testing Through Toxicity Prediction and Molecule Optimization. 132:1 - Michael Aaron G. Sy, Tiancheng Zhou, Toni Betiku, Daniel M. Czyz, Vidhu Kariyawasam, Simone Marini:
An application of genomic language models for antimicrobial resistance prediction in S. pneumoniae. 133:1 - Francesco De Rose, Francesco Dattola, Catia Grazioso, Pasquale Iaquinta, Miriam Iusi, Simona Leo, Martina Francesca Maiorano, Francesco Pelle, Ivana Pellegrino, Giorgio Veltri, Mario Cannataro, Chiara Zucco, Tommaso Ruga, Ester Zumpano:
SupportAI: A Multimodal AI Platform for Clinical Decision Support. 134:1-134:2 - Mattia Zicarelli, Tamer Kahveci, Tamim Khatib, Omer Kahveci:
An Interactive Web Application for Exploring Age-Dependent Gene Switching Across Human Tissues. 135:1-135:2 - Raffaele Giancotti, Maria Ghita Cassano, Federica Mirabelli, Elisabetta Anello, Patrizia Vizza, Giuseppe Tradigo:
A Hybrid Framework Integrating REDCap and LLMs for the Optimization of Surgical Workflows and Evidence-Based Clinical Governance. 136:1-136:2 - Federica Sicilia, Marida De Maria, Marco Mercuri, Patrizia Vizza:
Design of a Radar-Based System for Contactless OSAS Monitoring. 137:1-137:2 - Kartik Vinod Jhawar, Tapasvi Bhatt, Rohan Sunil, Lipo Wang:
MkAtt-SDN2GO: A Preliminary Multi-Modal Attention Framework for Human Protein Function Prediction. 138:1-138:2 - Lavanya Mandava, Husam Ghazaleh, Guilin Zhao, Rahul Biswa Karma:
Horizon-Aware Event-Driven Glucose Forecasting from Integrated CGM-Insulin Pump Data. 139:1-139:2 - Diego Pagnoncelli:
A Decision-Support Framework for Clinical Engineering Internalization: The Case of ASST Spedali Civili di Brescia. 140:1-140:2 - Danilo Arnone, Patrizia Vizza, Gionata Fragomeni, Francesco Lamonaca, Nicola Marotta, Antonio Ammendolia, Daniele Masala, Emanuele Sgambitterra, Giuseppe Tradigo:
A Low-Cost Wearable Platform for Gait Assessment and Plantar-Pressure Monitoring in Clinical and Sports Contexts. 141:1-141:2 - Neil Lin:
Translating Deep Multi-Omic Latent Spaces into LLM-Synthesized Mechanistic Hypotheses. 142:1-142:2 - Kresimir Friganovic, Jia Jun Raphael Han, Navrag B. Singh:
CAMINO: Context-Aware Mobility In Neighbourhoods and Outdoor Environments. 143:1-143:2 - Kai Zhe Tan, Zhi Yi Yong, Kresimir Friganovic, Yong Kuk Kim, Navrag B. Singh:
From Laboratory to Real World Gait: Leveraging Progressive Transfer Learning for Accurate and Reliable Event Detection. 144:1-144:2 - Martina De Salazar, Marida De Maria, Alexandra Lazar, Francesca Ogliari, Lidija Antunovic, Arturo Chiti, Patrizia Vizza:
Integrating Clinical Drivers and PET Radiomic Features: Application for Lung Cancer Survival Prediction. 145:1-145:2 - Mason Zito Ritchotte, Sheida Nabavi:
Depth-Gated Cross-Omics Graph Fusion for Cancer Subtype Classification. 146:1-146:2 - Ludovico Ferreri, Elena Fenoglio, Enea Parimbelli, Marianna Semprini, Roberto De Icco:
Graph-Theoretical Analysis of HD-EEG Functional Connectivity in High-Frequency Episodic Migraine Patients Following Atogepant Treatment. 147:1-147:2 - Luca Barillaro, Chiara Zucco, Giuseppe Agapito, Mario Cannataro:
Robustness and Energy-Aware ECG Classification under Input and Model Compression. 148:1-148:2
Tutorials (2-page abstract)
- Matteo Bonfanti, Damian Dalle Nogare, Sara Terzoli, Alberto Riva:
Spatial transcriptomics meets advanced image analysis: AI-driven integration of spatial omics data. 149:1-149:2 - Chaini Konwar, Beryl C. Zhuang:
How Old Are You Really? A Hands-on Computational Tutorial on Epigenetic Clocks as Biomarkers of Biological Aging Across Diverse Populations. 150:1-150:2
Highlight (2-page abstract)
- Timothy James Becker:
Generative genome modeling for simulation. 151:1-151:2
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