The field of oncology has witnessed an extraordinary surge in the application of big data and
artificial intelligence (AI). AI development has made multiscale and multimodal data fusion …

Background Digitized histopathological tissue slides and genomics profiling data are
available for many patients with solid tumors. In the last 5 years, Deep Learning (DL) has …

Histopathology image evaluation is indispensable for cancer diagnoses and subtype
classification. Standard artificial intelligence methods for histopathology image analyses …

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

Histologic grading of breast cancer involves review and scoring of three well-established
morphologic features: mitotic count, nuclear pleomorphism, and tubule formation. Taken …

Given their tumor-specific and stage-specific gene expression, long non-coding RNAs
(lncRNAs) have demonstrated to be potential molecular biomarkers for diagnosis …

PURPOSE Cancers with homologous recombination deficiency (HRD) can benefit from
platinum salts and poly (ADP-ribose) polymerase inhibitors. Standard diagnostic tests for …

Background Timely and accurate intraoperative cryosection evaluations remain the gold
standard for guiding surgical treatments for gliomas. However, the tissue-freezing process …

This is a review on the use of artificial intelligence for digital breast pathology. A systematic
search on PubMed was conducted, identifying 17,324 research papers related to breast …

Molecular and genomic properties are critical in selecting cancer treatments to target
individual tumors, particularly for immunotherapy. However, the methods to assess such …