Aiforia® Create – AI development tool
The power of AI in your hands
Ease of use
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.
Broad compatibility
Aiforia®️ Create is compatible with any 2D image and a broad range of image file formats, including brightfield and fluorescence. It can be integrated with any existing laboratory infrastructure to enjoy the full benefits of a digitized workflow.
Versatility
Thousands of AI models have been developed with Aiforia®️ Create for research and clinical use cases; applications ranging from cancer research to neuroscience and even outside the medical field.
Increased speed and accuracy
Aiforia®️ Create supports the user by automating manual steps in AI development with features such as the patented Annotation Assistant.
Unique functionalities
ANNOTATION ASSISTANT
Annotate more images in less time
The patented Annotation Assistant utilizes active learning, a highly sought-after technique in artificial intelligence. It offers premade annotations on the most useful areas of training data, allowing the user to accept, modify, or reject the suggestions.
OBJECT DETECTION
Identify and count any feature
Aiforia’s object detection technology can detect thousands of different objects in complex images. It enables multi-class identification and the detection of rare objects and can be combined with segmentation and spatial metrics for enhanced analysis.
SEMANTIC AND INSTANCE SEGMENTATION
Quantify areas and dimensions with precision
Segmentation features enable precise quantification of areas and shapes, even individually when areas merge or overlap. Analysis can be further boosted when combined with object detection and spatial metrics.
TRANSFER LEARNING
Adjust your AI model with speed and ease
Transfer learning reduces the number of annotations and training cycles needed in AI development by allowing the use of existing models as a basis for AI model development and fine-tuning.
VALIDATION
Collaborate remotely through the cloud
Validation features provide an easy interface for defining validation sets and collecting validation annotations remotely. They also provide a convenient way to invite colleagues or consultants to give blinded scoring or diagnosis according to intended use criteria.
MULTICHANNEL IMAGES AND ANALYSIS
Apply AI to multichannel immunofluorescence images
All AI development features are applicable to multichannel images. This enables the viewing and analysis of complex immunofluorescence images.
Unique functionalities
Annotation assistant
ANNOTATION ASSISTANT
Annotate more images in less time
The patented Annotation Assistant utilizes active learning, a highly sought-after technique in artificial intelligence. It offers premade annotations on the most useful areas of training data, allowing the user to accept, modify, or reject the suggestions.
Object detection
OBJECT DETECTION
Identify and count any feature
Aiforia’s object detection technology can detect thousands of different objects in complex images. It enables multi-class identification and the detection of rare objects and can be combined with segmentation and spatial metrics for enhanced analysis.
Semantic and instance segmentation
SEMANTIC AND INSTANCE SEGMENTATION
Quantify areas and dimensions with precision
Segmentation features enable precise quantification of areas and shapes, even individually when areas merge or overlap. Analysis can be further boosted when combined with object detection and spatial metrics.
Transfer learning
TRANSFER LEARNING
Adjust your AI model with speed and ease
Transfer learning reduces the number of annotations and training cycles needed in AI development by allowing the use of existing models as a basis for AI model development and fine-tuning.
Validation
VALIDATION
Collaborate remotely through the cloud
Validation features provide an easy interface for defining validation sets and collecting validation annotations remotely. They also provide a convenient way to invite colleagues or consultants to give blinded scoring or diagnosis according to intended use criteria.
Multichannel images and analysis
MULTICHANNEL IMAGES AND ANALYSIS
Apply AI to multichannel immunofluorescence images
All AI development features are applicable to multichannel images. This enables the viewing and analysis of complex immunofluorescence images.
EXPLORE DIFFERENT USE CASES
Aiforia® Create case studies
Mayo Clinic case study: developing an AI model to determine invasion in pulmonary adenocarcinoma
Dr. Jennifer M. Boland et al. from the Mayo Clinic successfully developed an AI model to determine the invasion in pulmonary adenocarcinoma.
MIT case study: advancing lung cancer research with AI
Reseachers at the Tyler Jacks Lab, MIT, created artificial intelligence models to automate tumor grading as part of their lung cancer research studies.
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Faron Pharmaceuticals case study: using AI to perform spatial analysis in cancer drug development
Elisa Vuorinen at Faron Pharmaceuticals built an AI model to quantify and localize Clever-1 in the tumor microenvironment using Aiforia® Create.
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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.
CRL case study: AI-assisted screening of bone marrow cellularity changes
Veterinary pathologist Mark Smith from Charles River Laboratories describes using AI models to screen for bone marrow cellularity changes.
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University of Helsinki case study: using AI-based image analysis to predict ovarian tumor outcome
Researchers at the University of Helsinki used an AI model to accurately classify high-grade serous carcinoma into outcome groups using tumor morphology alone.
MGH 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.
Helsinki University Hospital case study: evaluating prognostic indicators in primary sclerosing cholangitis with AI
A pathologist studying primary sclerosing cholangitis (PSC) created a deep learning AI model to evaluate novel prognostic biomarkers of the liver disease.
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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.