AI Model Uses Routine Lab Tests to Predict Genetic Disease Risk
Mount Sinai researchers develop machine learning approach that analyzes common clinical data to determine penetrance of rare genetic variants.
Category: Analytical Software Systems
Analytical Software Systems
Latest
Analytical Software Systems
Latest
Will CPT Codes Drive Digital Pathology Adoption?
Proscia Co-founder and Chief Product Officer Nathan Buchbinder outlines why digital pathology adoption will be aided by new CPT codes.
Analytical Software Systems
Latest
Improved Prostate Cancer Diagnosis with AI-powered Workflows
Proscia and Ibex Medical Analytics are collaborating to deliver a unified software solution that powers AI-enabled workflows for prostate cancer diagnosis.
Sectra’s Integrated Digital Pathology Solution Goes Live in New York Hospital
The module integrates radiology and digital pathology diagnostic capabilities, giving physicians a full overview of patient images across the two disciplines.
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Sectra’s Digital Pathology Module Receives FDA 510(k) Clearance
The FDA clearance enables US healthcare providers to use Sectra’s digital pathology solution for primary diagnostics.
Read MoreGeneva University Hospital to Use Sectra’s Digital Pathology Solution for Full-Scale Primary Diagnostics
A digital workflow enables pathologists to review and collaborate on cases more easily; it reduces variation and increases efficiency in primary diagnostics, thereby improving areas such as cancer care.
Read MoreTwo Purdue-Affiliated Life Sciences Startups Receive Foundry Investment Fund Support for Detection Technologies
The investments awarded by the fund will support Purdue-affiliated Amplified Sciences and Brightlamp, both of which are focused on healthcare technologies.
Read MoreProscia Publishes Results Demonstrating Real-World Relevance of Artificial Intelligence in Pathology
Largest pathology AI validation study to date serves as foundation for improving patient outcomes through faster, more accurate decisionmaking.
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High-Content Screening Station Applies AI to Biological Research
The ScanR system performs fully automated image acquisition and analysis of multiwell plates, slides, and custom-built arrays.
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Paige and Philips to Bring AI to Clinical Pathology Diagnostics
AI-based cancer assessment tools are poised to help pathologists improve the speed and accuracy of cancer diagnostics, ultimately leading to better patient care.
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Philips to Create Taiwan’s First Fully Digitized Pathology Department
Taiwan’s leading academic medical and teaching hospital will use the new pathology network to improve patient outcomes.
Read MoreDigital Pathology versus Radiology
It is tempting to compare digital pathology to digital radiology, but the two are not entirely parallel.
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Final Notice: CLP, Frost & Sullivan Survey on Digital Pathology Trends
Respondents will be eligible to enter a drawing from which three winners will each receive a $100 Amazon gift card.
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July 2017 Tech Guide: Anatomic and Digital Pathology Instruments and Tools
This month’s issue features anatomic and digital pathology technologies from such companies as BioGenex, Indica Labs, and MicroDimensions.
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Philips, LabPON to Create Digital Pathology Database
Royal Philips and the Laboratory for Pathology East Netherlands have announced plans to create a digital database of aggregated sets of annotated pathology images and big data.
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WSI: Delivering Education and Research Insights
Important advantages of whole-slide imaging include its utility for advancing pathology education and training, and for supporting multidisciplinary teamwork in clinical settings.
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The Business Case for Digital Pathology
Laboratories in Europe, Asia, and the United States have demonstrated success in developing a business case to support their organizations’ investments in digital pathology tools for diagnostic use.
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July 2016 Tech Guide: Anatomic and Digital Pathology Instruments and Tools
This month’s issue features anatomic and digital pathology technologies from such companies as Aspyra, Leica Biosystems, Mikroscan Technologies, and Philips.
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