Abstract Explainable Artificial Intelligence (XAI) is an emerging research topic of machine
learning aimed at unboxing how AI systems' black-box choices are made. This research field …

Technological advances have made it possible to study a patient from multiple angles with
high-dimensional, high-throughput multiscale biomedical data. In oncology, massive …

High-throughput next-generation sequencing now makes it possible to generate a vast
amount of multi-omics data for various applications. These data have revolutionized …

Artificial intelligence (AI) is gradually changing medical practice. With recent progress in
digitized data acquisition, machine learning and computing infrastructure, AI applications …

Histopathologic assessment is indispensable for diagnosing colorectal cancer (CRC).
However, manual evaluation of the diseased tissues under the microscope cannot reliably …

Advances in omics technologies—such as genomics, transcriptomics, proteomics and
metabolomics—have begun to enable personalized medicine at an extraordinarily detailed …

Artificial intelligence (AI) models are increasingly finding applications in the field of
medicine. Concerns have been raised about the explainability of the decisions that are …

Lung cancer is the most prevalent cancer worldwide, and histopathological assessment is
indispensable for its diagnosis. However, human evaluation of pathology slides cannot …

On a clear January morning in Florida, a Tesla enthusiast and network entrepreneur was
driving his new Tesla Model S on US Highway 27A, returning from a family trip. He had …

Breast cancer (BC) is a highly heterogeneous disease. The treatment of BC is complicated
owing to intratumoral complexity. Tissue biopsy and immunohistochemistry are the current …