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AI in neuroscience

Expand discovery with AI 

Aiforia’s solutions are created for pathologists and healthcare professionals to empower their image analysis with deep learning artificial intelligence and high-speed, cloud-based tools.
 
You can automate, standardize, and accelerate image analysis applications for segmentation, quantification, regression model creation, measurement of spatial and morphological metrics, analysis of serial sample sections, and so much more.
 
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Benefits of AI-assisted analysis

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Save time

Automate time-consuming and tedious tasks, such as cell counting. Aiforia reduces the time it takes to count neurons from 1 hour to a few seconds per section.

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Discover

Spot subtle changes and quantitative information in a reproducible manner from any image, including WSI. Aiforia's AI can enable discoveries, hidden to the human eye. 

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Increase consistency

AI doesn't have bad days. It always arrives at the same results, decreasing inter- and intra-observer variability.

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Get started easily

Using Aiforia® Create requires no data science or software programming expertise. Its cloud-based nature makes it scalable and extremely fast to implement; no installation is needed.

Analyze in seconds

Whether you are studying neurodegenerative diseases like Parkinson’s or Alzheimer’s, conducting preclinical analysis of neurotoxicity, or simply want to automate neuron body quantification, Aiforia caters to projects of all complexities and sizes.
 
In the video example, you can see Aiforia® Create in action, quantifying neurons. It is the most versatile tool for developing deep learning AI models for image analysis in digital pathology. Its cloud-based, collaborative working environment allows multiple users to work together in real time, anywhere in the world. Praised for its intuitive user interface, it allows users a fast start, even without any prior AI experience.

Learn more about Aiforia® Create

Explore various use cases and unique functionalities of Aiforia® Create – the market's most versatile tool for developing deep learning AI models for image analysis. 

"If a person started counting these cells one by one, they would lose their health and age. And what’s more, the results are completely consistent. AI doesn’t have bad days like us humans do. Subjectivity is wiped away, while my work is significantly sped up."

Nelli Sjöblom, an MD specializing as a pathologist at the Helsinki University Hospital

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"We decided to use AI for our projects because cell counting is very time-consuming. Besides, stereological methods provide just estimated numbers, which can lead to slightly error-prone analysis. Additionally, some stainings are very faint and difficult in the manual procedure. AI, like the one of Aiforia, helps to get rid of all these drawbacks and ensures a robust and efficient method to standardize and accelerate object counting."

Joan Compte, a predoctoral researcher at Vall d'Hebron Instituto de Investigación

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"With stereology, it would have taken 45 minutes to count the neurons in one nigra area; with Aiforia, it took only 5 seconds.”

Merja Voutilainen and Mikko Airavaara, Researchers at the Institute of Biotechnology

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Aiforia case studies

Explore how others have used AI in neuroscience

Sanofi case study_ Parkinsons disease research with AI_image

Sanofi case study: Parkinson's disease research with AI

The preclinical research team studying Parkinson's disease at Sanofi created their own AI model with Aiforia® Create to automate Th+ neuron quantification.

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Case study: benefits of AI in Huntington's disease image analysis

PhD student Polina Stepanova discusses the benefits of using AI for mutant huntingtin detection to improve prediction methods and develop new therapies.

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Massachusetts General Hospital case study: AI-assisted image analysis of neurodegenerative disease markers

Researchers from Massachusetts General Hospital used Aiforia’s AI for the analysis of histopathological markers in neurodegenerative diseases.

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Orion pharma case study_ accelerating preclinical neurotoxicity analysis with AI_image

Orion Pharma case study: accelerating preclinical neurotoxicity analysis with AI

Scientists at the pharmaceutical company Orion Pharma developed artificial intelligence models to automate preclinical neurotoxicity assessment.

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Case study: AI-assisted neuron quantification for Parkinson's disease

Researchers at the University of Helsinki deployed artificial intelligence models to automate Parkinson’s disease neuron counting.

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Barrow Neurological Institute case study: stereology versus AI in neuron quantification

Stereology has long been a reliable method for neuron quantification, but how does it compare in speed and accuracy to artificial intelligence-based tools?

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Seeing is believing

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Discover the power of AI for image analysis

Learn how to enhance your image analysis work in diagnostic pathology, preclinical studies, and medical research. The demo will be tailored to your interests.

The demo will help you understand: 

  • How AI-assisted image analysis can increase efficiency, precision, and consistency.
  • The versatile capabilities Aiforia® Create offers for creating, customizing, and validating deep learning AI models for histological features and patterns in image analysis.

We can demonstrate the tool on your own images or any of our application examples (i.e., neuron quantification, automated tumor grading, NASH analysis, etc.).

Fill in the form, and one of our experts will contact you shortly to schedule the time.