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Table of Contents: “... Analysis -- Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers -- Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning -- RoFormer for Position Aware Multiple Instance...”

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Table of Contents: “...Vaccine Design: an introduction -- Epitope binning of monoclonal and polyclonal antibodies by biolayer interferometry -- Clustering and annotation of T-cell receptor repertoires -- Protocol for Classification Single Cell PBMC Types from Pathological...”

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Table of Contents: “... of quantile regression models for biomedical data -- Hippocampus shape analysis via skeletal models and kernel smoothing -- Methods for analysis of microbiome count data with applications -- The FMM model as a classifier of cardiovascular pathologies -- A novel...”

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Table of Contents: “... the Differentiation of Pathological Voices in Parkinsonian Patients -- 12-Effects of an 8-Week Stress Management Program in Women with Breast Cancer: A Randomized Controlled Trial -- 13-The Rosenberg Self-Esteem Scale: Translation and Validation in the Greek Language...”

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Table of Contents: “...1. COVID-19: An overview of virology, mutations, pathology, epidemiology, diagnosis, preventions and treatments -- 2. The recent development of therapeutic strategies against COVID-19 -- 3. Plant immunoenhancers: Promising ethnopharmacological candidates...”

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Table of Contents: “... from Hi-C Data -- Predictive Polymer Models for 3D Chromosome Organization -- Polymer Modeling of 3D Epigenome Folding: Application to Drosophila -- A Polymer Physics Model To Dissect Genome Organization In Healthy And Pathological Phenotypes -- The 3D...”

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Table of Contents: “...Development and Optimization of Clinical Informatics Infrastructure to Support Bioinformatics at an Oncology Center -- Leveraging Pathology Informatics Concepts to Achieve Discrete Lab Data for Clinical Use and Translational Research -- Cohort...”

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Table of Contents: “...Machine Learning - Self-Supervised Learning -- SSLP: Spatial Guided Self-supervised Learning on Pathological Images -- Segmentation of Left Atrial MR Images via Self-supervised Semi-supervised Meta-learning -- Deformed2Self: Self-Supervised Denoising...”

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Table of Contents: “... Medical Image Segmentation -- Federated Contrastive Learning for Decentralized Unlabeled Medical Images -- Machine Learning - Interpretability / Explainability -- Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input...”

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Table of Contents: “... of Hippocampal Sclerosis from Clinical Routine Head MR Images using Structure-Constrained Super-Resolution Network -- U-Net Transformer: Self and Cross Attention for Medical Image Segmentation -- Pre-biopsy multi-class classification of breast lesion pathology...”

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Table of Contents: “...Clinical Applications - Abdomen -- Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy -- Learning-based attenuation quantification in abdominal ultrasound -- Colorectal Polyp Classification...”

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Table of Contents: “...-trained Feature Extractor -- Alleviating Data Imbalance Issue with Perturbed Input during Inference -- A Deep Reinforced Tree-traversal Agent for Coronary Artery Centerline Extraction -- Sequential Gaussian Process Regression for Simultaneous Pathology...”

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Table of Contents: “...Computational Anatomy -- Unfolding the medial temporal lobe cortex to characterize neurodegeneration due to Alzheimer's disease pathology using ex vivo imaging -- Distinguishing Healthy Ageing from Dementia: a Biomechanical Simulation of Brain Atrophy...”

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Table of Contents: “... Generalizability in Breast Cancer Diagnosis using Ultrasonography -- Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy using Multi-scale Patch Learning with Mammography -- The Pitfalls of Sample Selection: A Case Study on Lung Nodule...”

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