Solutions for
- - - Aiosyn develops software solutions that use state-of-the-art computational pathology technology. Our AI-powered pathology algorithms are integrated in standard pathology workflows to enable diagnostics and clinical studies anywhere and anytime.
- - - Clinical Diagnostics
      
      We develop algorithms that improve the digital pathology workflow and certified clinical diagnostic algorithms that augment pathologists.
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  - - Life Sciences
      
      We support CROs and biopharma with AI-powered solutions to identify novel pathology-based biomarkers that can accelerate drug development.
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  - - AI & Data Providers
      
      We enable AI and data providers to ensure the use of only high-quality, artifact-free images.
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AI Pathology Software
- - - We specialize in deep learning solutions for pathologists, focusing on cancer and chronic kidney disease biomarkers. Our AI-powered technology improves the digital pathology workflow and facilitates informed decision-making in drug development and clinical diagnostics.
- - - Automated Quality Control
      
      We provide an AI-powered solution for automated quality control of digital histology slides in the pathology workflow.
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  - - Mitotic figure counting
      
      We provide an AI-powered solution to aid clinical and research labs with the identification of mitotic figures in H&E sections.
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  - - NephroPath platform
      
      Aiosyn’s NephroPath platform harnesses AI-powered computational pathology algorithms that provide objective quantification of kidney lesion scores.
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Services
- External Digital Slide Quality Assessment
- Kidney Analysis Services
News & Resources
About

Publication

Quantitative Image Analysis Reveals the Benefits of Dapagliflozin on Glomerulosclerosis, Podocytes Effacement and Kidney Fibrosis in the SDT Fatty Rat Model of Diabetic Nephropathy

By Błażej Dolicki

26 October, 2024

Authors

François Briand, Estelle Grasset, Masami Shinohara, Nicole Endlich, Vedran Drenić, Li Chen, Mathieu Petitjean,
Blazej Dolicki, Thomas de Bel, Yasushi Kageyama, Thierry Sulpice

Abstract

We aimed to optimize drug efficacy studies in the Spontaneously Diabetic Torii (SDT) fatty rat, a type 2 diabetic model, using quantitative image analysis of kidney. To demonstrate the accuracy of our imaging methods, dapagliflozin (DAPA) was evaluated in SDT fatty rats with unilateral nephrectomy (Unx).

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By Błażej Dolicki

AI Engineer

More about the author

By Thomas de Bel

AI Scientist

More about the author

Aiosyn develops software solutions that use state-of-the-art computational pathology technology. Our AI-powered pathology algorithms are integrated in standard pathology workflows to enable diagnostics and clinical studies anywhere and anytime.

Clinical Diagnostics

Life Sciences

AI & Data Providers

We specialize in deep learning solutions for pathologists, focusing on cancer and chronic kidney disease biomarkers. Our AI-powered technology improves the digital pathology workflow and facilitates informed decision-making in drug development and clinical diagnostics.

Automated Quality Control

Mitotic figure counting

NephroPath platform

Publication

Quantitative Image Analysis Reveals the Benefits of Dapagliflozin on Glomerulosclerosis, Podocytes Effacement and Kidney Fibrosis in the SDT Fatty Rat Model of Diabetic Nephropathy

Authors

Abstract

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