Artificial Intelligence for Biomedical Data: First International Workshop, AIBio 2025, Held in Conjunction with the European Conference on Artificial Intelligence, ECAI 2025, Bologna, Italy, October 2526, 2025, Proceedings [Pehme köide]

.- AI for Desease.
.- Improving Early Sepsis Onset Prediction Through Federated Learning.
.- Experimenting Federated AI Models for Hematological Diseases.
.- Hearing Impairment Assessment in Infants through Explainable Computer
Vision Analysis of Facial Features.
.- Type 2 Diabetes Prediction from multi-center Electronic Health Records in
General Practice using Machine Learning.
.- Self-Attention as a Predictor of EEG Anomalies.
.- Cross-dataset Multivariate Time-series Model for Parkinsons Diagnosis via
Keyboard Dynamics.
.- Assessment and Compliance of Personalized Machine Learning Pharmacokinetic
Models in the European Regulatory Environment.
.- Data Generation and Augmentation.
.- Knowledge Graph-Enhanced Retrieval-Augmented Generation for
Nutrigenetics.
.- Generative Data Augmentation by Dataset Distillation.
.- Semantic Similarity in Radiology Reports via LLMs and NER.
.- From Scarce to Sufficient: Imaginary Image-like Features via Diffusion
Models for Imbalanced Medical Data.
.- Flow-Based Synthetic Data Generation: A Unified Approach for Biomedical
Tasks.
.- Multimodal Techniques.
.- Multimodal Machine Learning Architecture for Predictive Diagnosis and
Treatment of Ophthalmic Diseases.
.- GNN-based Multimodal Analysis of Brain Anatomical and Functional Features
for Parkinsons Disease and Cognitive Decline Detection.
.- Data Donation for Digital Twins in Healthcare: Potential and Challenges in
the European Context.
.- Image Segmentation.
.- Quality-Guided Focal Loss: Enhancing Minority Class Detection in
Haematological Imaging.
.- Auto-prompting Foundation Models for Clinical Segmentation: The Case of
Pathological Scapula.
.- Keynote Papers.
.- Towards Segmenting the Invisible: An End-to-End Registration and
Segmentation Framework for Weakly Supervised Tumour Analysis.
.- Transcending the Annotation Bottleneck: AI-Powered Discovery in Biology
and Medicine.
.- Increasing Data Availability Through Standardization: Unlocking AI in
Digital Pathology.
.- Why accuracy isnt enough. Rethinking Model Evaluation in Clinical AI with
a user-centered utility metric.