patholytix AI

our AI Helps you reach
CRITICAL STUDY DECISIONS
FASTER WITH GREATER
CONFIDENCE
Find out more about how we can help you with your specific problems
with our bespoke AI services

Patholytix AI is the right solution to leverage Deep Learning and integrate AI-based approaches into the toxicologic pathology field. Coupled with a viewer tailored to the evaluation of nonclinical safety studies, it combines a user-friendly annotation process and some powerful AI models, together with visual maps of the generated masks and quantitative pathology capabilities, providing valuable diagnostic decision support to the pathologists.

Sebastien Laurent and Béatrice Gauthier
Senior Toxicologic Pathologists at Sanofi

DEEP LEARNING MODELS

Patholytix AI seamlessly integrates the contributions of pathologists and AI engineers to create robust deep-learning models. The outputs of these models can be used to generate an easy to interpret visual for your whole slide images which streamline the process of detecting abnormalities caused by drug toxicity.

MAKE CRITICAL DECISIONS
ON DRUG COMPOUNDS SOONER
USING PATHOLYTIX AI

RAPID, EASY-TO-USE ANNOTATION WORKFLOW

Patholytix AI combines an ergonomic user interface with machine learning that requires minimal data input. The result is a simpler, more efficient workflow.

Patholytix reduces the barriers to adopting AI for routine applications

ROBUST MODELS WITH ROBUST OUTPUTS

Patholytix AI employs powerful, state-of-the-art models including InceptionV3, ResNet50, Xception, DeepLab v3Plus and Segmodel. Such models are trained on large and diverse datasets from different sources which ensures they work exceptionally well at detecting abnormalities on your own slides. This also means there is minimal training data required from you to get these robust outputs.

End-to-end sharing
Certainty in receiving consistent, accurate results with minimal training data

OPTIMISED AI PIPELINE

Our AI Pipeline is optimised and scalable across multiple GPU engines. As a result, the training of your AI classifiers will always operate as fast as possible.

Guaranteed fast and best quality AI outputs
UNLOCK GREATER INSIGHTS
INTO YOUR STUDIES WITH
QUANTITATIVE PATHOLOGY

INTERACTIVE SEGMENTATION MASKS

Within our software, we have tools that can provide quantitative outputs for your data.

Interactive segmentation masks allow identification and quantitation of up to 1 million individual features within an image, with feature-specific morphometry, including area, roundness, perimeter and orientation.

Such quantitative outputs can help you to determine if an abnormality is of a level (lesion count or lesion area) indicative of drug toxicity.

Quickly flag rare abnormalities with segmentation masks

PROBABILITY MASKS

This Quantitative Pathology tool allows you to determine how likely a specific area of tissue is abnormal. Individual probability masks views are available for each lesion. In addition to the information on where the abnormality could be on the tissues, it provides information on how probable each lesion is in an identified region.

The quicker the review is complete, the quicker a decision can be made on the safety of the drug.

Use probability prediction models as a decision support tool in drug safety studies

HEATMAPS BASED ON QUANTITATIVE MASK OUTPUTS

Visual outputs (heatmaps) from Patholytix AI allow you to quickly find and interrogate results without having to sift through massive amounts of data. These heatmaps can highlight changes in cell density. Variances in cell density can be indicative of cellular changes caused by drug effects.

Observe changes in cellular pathology caused by drug toxicity more easily with heatmaps

FILTERED OBJECT DETECTION

Set your parameters. Our AI software will then identify and count cells of interest. An example? Inflammatory cells such as macrophages, or necrotic cells, can be detected by adjusting segmentation mask threshold parameters to only detect cells of this morphology.

See and review the slides of concern first.

Quickly assess the severity of a drug compound’s negative effect

ADJUSTABLE THRESHOLDS FOR QUANTITATIVE MASK OUTPUTS

You can review what the mask is picking up as a lesion. If it’s detecting areas that you feel are not of concern, you can adjust the thresholds accordingly. Then you will only see lesions of concern, and be directed to these slides more quickly.

Flexible threshold adjustment ensures that you are looking
at the areas that concern you most

FILTER STUDY OUTPUTS

You can sort entire study cohorts based on the extent of the segmented lesion present. Samples with lesions indicative of drug toxicity may be filtered based on their quantitative parameters to view those highest in lesion count or area first.

Quickly assess the severity of a drug compound’s negative effect.
See and review the slides of concern first

webinar

Find out how you can use Patholytix AI to Identify Signs of Drug Toxicity in Preclinical Safety Assessment Studies