Cerebrospinal fluid (CSF) samples are increasingly being used for genomic profiling of brain tumors, offering a less invasive alternative to tissue biopsies. CSF samples provide a higher signal-to-noise ratio for detecting tumor-derived cell-free DNA (cfDNA) compared to plasma samples, making them particularly useful for …
The upcoming ASCO 2026 meeting will focus on the clinical application of AI in cancer care, emphasizing multimodal AI models that integrate pathology, radiology, molecular data, and liquid biopsy.
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Thermo Fisher Scientific’s SwiftArrayStudio microarray analyzer was developed in response to customer needs for simpler workflows, more consistent turnaround times, and lower operational burden in genomics labs.
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February 2026—Prepared with expert insight from Anil Parwani, MD, PhD; Scott Hammond; and Melinda Schumacher, MD, Grundium’s white paper describes, from a pathologist’s perspective, how compact WSI systems can shorten consult turnaround times and reduce variability, improve access to subspecialty review without adding travel or courier burden, enhance community pathologists’ professional satisfaction and confidence, support scalable, secure, and validated workflows and lay the foundation for AI and advanced analytics as digital adoption grows. Download the white paper here.
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Laboratory and pathology billing face challenges from reimbursement threats, downcoding, denials, and prior authorizations.
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May 2025—Pathology plays a critical role in cancer care, encompassing the development of new treatments, diagnosis, staging, grading of disease, and clinical decision-making. While histopathological slides of tissue biopsies using hematoxylin and eosin staining and immunohistochemical staining remain central to this process, the rise of precision medicine testing is placing greater demands on pathology labs. Health care organizations globally are grappling with ways to address these challenges, mainly due to the declining number of individuals choosing pathology as a specialty. Additional challenges include the rising incidence of cancer, increased testing rates, and the growing complexity of testing. In this evolving landscape, artificial intelligence is emerging to revolutionize pathology, meeting these demands and improving patient outcomes.