Biobanking plays a pivotal role in biomedical research by providing standardized
processing, precise storing, and management of biological sample collections along with the …

Artificial intelligence (AI) can acquire characteristics that are not yet known to humans
through extensive learning, enabling to handle large amounts of pathology image data …

Biobanks, through the collection and storage of patient blood, tissue, genomic, and other
biological samples, provide unique and rich resources for the research and management of …

Abstract Artificial Intelligence (AI) and Machine Learning (ML) are transforming the field of
medicine. Healthcare organizations are now starting to establish management strategies for …

Pathology, a cornerstone of medical diagnostics and research, is undergoing a revolutionary
transformation fueled by digital technology, molecular biology advancements, and big data …

Artificial intelligence (AI) and machine learning (ML) show promise in various medical
domains, including medical imaging, precise diagnoses, and pharmaceutical research. In …

Biomedical data encompasses images, texts, physiological signals, and molecular omics
data. As the costs of various data acquisition methods, such as genomic sequencing …

Cancer genomics plays a crucial role in oncology by enhancing our understanding of how
genes drive cancer and facilitating the development of improved treatments. This field …

ABSTRACT Introduction Rare diseases (RDs) are a heterogeneous group of diseases
recognized as a relevant global health priority but posing aspects of complexity such as …

Introduction Acute pancreatitis (AP) is a common disease, and several scores aim to assess
its prognosis. Our study aims to automatically recognize mild AP from computed tomography …