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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July 2025—Ibex Medical Analytics reports that a study conducted at Ohio State University Wexner Medical Center confirms that Ibex Breast, an AI-powered diagnostic support solution, significantly improves accuracy and efficiency in evaluating breast pathology cases (Tahir M, et al. Clin Breast Cancer. Published online March 26, 2025). The study analyzed 104 real-world breast biopsies, including invasive and microinvasive carcinomas, ductal carcinoma in situ, atypical lobular hyperplasia, and other benign lesions. Three breast pathologists independently reviewed each case digitally, with and without the support of Ibex Breast. Results demonstrated that when using AI, diagnostic accuracy improved from 97.1 percent to 100 percent, with previously missed precancerous lesions, such as lobular neoplasia and microcalcifications, correctly identified.