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Healthcare Business Review | Friday, December 06, 2024
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AI and ML revolutionize cellular pathology by assisting with image analysis and diagnostic predictions.
Fremont, CA: Cellular pathology, the study of tissues and cells to diagnose diseases, is a cornerstone of modern healthcare. It is critical in understanding diseases such as cancer, infectious conditions, and autoimmune disorders. Digital pathology, enabled by high-resolution scanners, digitizes histological slides into whole slide images (WSI). Digital pathology enables remote collaboration among specialists, making seamless second opinions and multidisciplinary discussions. Automated workflows and digital image management reduce turnaround times, allowing faster diagnoses.
Digital storage of pathology slides ensures easy retrieval for future reference, research, or quality control. Algorithms trained on large datasets can identify patterns and anomalies with high precision. AI can detect cancerous cells, grade tumors, and quantify biomarkers, enhancing accuracy and reducing human error. AI models can predict disease progression or response to therapies, supporting personalized treatment plans. It enables simultaneous detection of multiple biomarkers on a single tissue section, providing comprehensive insights into the tumor microenvironment.
Pathologists can focus on complex cases as AI handles routine tasks such as screening for specific markers or counting mitotic figures. Automated platforms ensure reproducibility and reliability, crucial for consistent diagnostic outcomes. Cellular pathology is becoming increasingly integrated with molecular pathology, which analyzes genetic and molecular markers. It enables more profound insights into disease mechanisms. Tissue samples analyzed for genetic mutations help guide targeted therapies, particularly in oncology.
Combining cellular and molecular data provides a comprehensive view of the disease, improving diagnostic precision. While not strictly cellular pathology, the ability to complement tissue biopsies with minimally invasive techniques enhances overall diagnostic capabilities.