Purpose Real world evidence is crucial to understanding the diffusion of new oncologic
therapies, monitoring cancer outcomes, and detecting unexpected toxicities. In practice, real …

Cancer is a complex disease involving the deregulation of intricate cellular systems beyond
genetic aberrations and, as such, requires sophisticated computational approaches and …

Artificial intelligence (AI) promises to be the next revolutionary step in modern society. Yet,
its role in all fields of industry and science need to be determined. One very promising field …

Purpose Artificial intelligence (AI) has contributed to the advancement of medical research,
particularly cancer research. AI technology is an inclusive science comprising computer …

This collection aims to disseminate the latest research and advancements in all aspects of
artificial intelligence (AI) within the realm of cancer research, including basic, translational …

Cancer is associated with significant morbimortality globally. Advances in screening,
diagnosis, management and survivorship were substantial in the last decades, however …

The molecular characterization of patient tumors provides a rational and highly promising
approach for guiding oncologists in treatment decision-making. Notwithstanding, genomic …

One substantial limitation of randomized clinical trials (RCTs) relates to the stringent
eligibility criteria that are typically used. As a result, only a small percentage of patients who …

In recent years, the field of artificial intelligence (AI) in oncology has grown exponentially. AI
solutions have been developed to tackle a variety of cancer‐related challenges. Medical …

The rapid development of artificial intelligence (AI) technologies in the context of the vast
amount of collectable data obtained from high-throughput sequencing has led to an …