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Related Experiment Video

Updated: Jul 23, 2025

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

Digital pathology systems enabling quality patient care.

Matthew G Hanna¹, Orly Ardon¹

¹Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.

Genes, Chromosomes & Cancer

|July 17, 2023

Summary

Digital pathology systems are transforming healthcare by enabling digital workflows and computational discovery. These innovations, including whole slide imaging and AI, enhance diagnostic accuracy and patient care.

Keywords:

artificial intelligence digital pathology digital transformation machine learning patient care personalized medicine

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Area of Science:

Digital pathology
Medical imaging
Computational pathology

Background:

Pathology labs are adopting digital technologies for enhanced patient care.
Digital pathology systems replace traditional glass slides with whole slide images.
Regulatory bodies like the FDA have authorized digital pathology for primary diagnosis.

Purpose of the Study:

To review the digital pathology transformation process.
To discuss clinical, educational, and research use cases.
To explore the integration of image analysis and machine learning in pathology.

Main Methods:

Review of current digital pathology technologies and systems.
Analysis of clinical validation guidelines and regulatory approvals.
Exploration of whole slide imaging and its applications.

Main Results:

Digital pathology enables routine clinical tasks and computational discovery.
Whole slide images facilitate navigation and analysis.
Machine learning integration supports computer-assisted diagnostics.

Conclusions:

Digital pathology systems offer unprecedented potential for pathology.
Integration of these systems enhances clinical decision support.
Future technologies promise further disruption and improved patient care.