Reimagining the clinical workflow

AI-powered digital pathology

Our algorithms assist pathologists in the screening and risk assessment of various diseases and cancers, strengthening their standard of care when evaluating whole slide images (WSIs).

The brewing storm 

Increasing cancer rates 

Early-onset cancers, including colon and breast, have risen dramatically worldwide. Although the trend has been causally linked to generational differences in lifestyle, exposure to underlying factors is unlikely to lessen.

Pathologist shortage 

Globally, labor crunches have understaffed laboratories and disrupted clinical workflows, increasing provider burnout and wait times. Currently, there are only ~ 120,000 pathologists spread over 130+ nations.

Lead the digital pathology revolution with our AI solutions

Embracing the future

Pathcal trains algorithms to identify and extract clinically meaningful information from complex biomedical sources, e.g., digitized histopathology scans, easing clinician burden and increasing workflow efficiency. Model adoption improves laboratory accuracy by decreasing inter- and intra-observer variability and automating low-risk tasks, e.g., annotating general tissue structure, allowing pathologists to focus on unorthodox or challenging cases.


One

Digitization

Standardizing formalin-fixed paraffin-embedded (FFPE) hematoxylin and eosin (H&E) staining and slide scanning. 

Two

Image management 

Advanced interfaces seamlessly integrate with clinical workflows, helping pathologists to screen, annotate, and allocate WSIs. 

Three

Analysis

Cutting-edge assistive applications allow pathologists to analyze WSIs confidently per their complete standard of care. 

Catch the integration of our clinical applications at academic hospitals

The power behind Pathcal

Research

Pathcal commercializes decades of research advancing the application of AI in oncology.

Providers 

We work directly with pathologists to provide the most practical solutions. 

Data

Applications are built on one of the most comprehensive histopathology datasets available.

Reach out 

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