About Aiforia

Aiforia equips pathologists and scientists in preclinical and clinical labs with powerful deep learning artificial intelligence software for translating images into discoveries, decisions, and diagnoses.
The cloud based Aiforia products and services aim to escalate the efficiency and precision of medical image analysis beyond current capabilities, across a variety of fields from oncology to neuroscience and more.
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The challenge 

Pathologists are pivotal to the healthcare system, investigating and diagnosing patient samples to guide medical treatment. Ageing populations and rising rates of disease like cancer are creating a burden on healthcare systems around the world1. The prevalence of cancer is expected to increase by 47.4% between 2020 and 20402 while the share of the population 65 years or over is expected to increase from 9.3% in 2020 to around 16.0% in 2050 globally3.

These factors create an additional burden to pathologists, an already underrepresented group of healthcare professionals. Less medical doctors are specializing in pathology4 while sample numbers are on the rise, creating an imbalance. Exacerbating this disparity is the fact that pathologists have had to rely on the same technology for the past 150 years5; manual slide analysis with microscopes is slow, manual, and prone to variability.

Around the world pathologists are overworked, patients are waiting for a long time to receive results and are in some cases administered ineffective treatments due to misdiagnosis or the inability to administer personalized treatment. Aiforia believes that the industry is ready for paradigm shifting technology to decrease the burden experienced by pathologists and patients alike.
 
 
Sources
1) WHO Report on Cancer, 2020 PDF Download
2) International Agency for Research on Cancer
3) United Nations Department of Economic and Social Affairs, Population Division (2020). World Population Ageing 2020 Highlights: Living arrangements of older persons
4) Wang et al. Journal of the American Academy of Dermatology. 2018;78(1):47-53
5) The Royal college of pathologists: Histopathology workforce census 17/18
6) Market Intellix and Maia Research: Global Microscope Slide Market Report 2021
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Analog tools in a digital world

Our solution

The digital transformation in pathology is under way as digital pathology, the digitization of glass slides traditionally examined under a microscope to now be analyzed on a computer, is becoming increasingly prevalent in labs and hospitals across the world in an effort to modernize the diagnostic workflow. Digital pathology has paved the way for even more advanced technology like AI, to further advance image analysis.

Aiforia believes that automation, digital technology, and AI are in growing demand to alleviate the challenges faced by global healthcare systems. AI-based methods have the potential to standardize sample review by reducing bias while increasing the speed and accuracy of analysis — assisting the pathologist in their work and enabling precision diagnostics. Patients could receive diagnoses faster, are administered personalized treatments, and patient care is democratized.

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AI-assisted analysis

Our mission

Aiforia aims to transform image-based diagnostics by escalating efficiency and precision beyond current capabilities. Our mission is to provide the highest quality solutions for AI-assisted image analysis to enable personalized and democratized care for patients.
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Data-driven healthcare
Who are we?

Meet our team

Aiforia

Company highlights

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1 million+

Images analyzed with Aiforia
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All formats supported

All major scanner and file formats supported and integrations viable with all lab softwares (PACS, LIMS, etc.)
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400+

AI models developed for use in image analysis with Aiforia
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3,000+

Pathologists and medical scientists using Aiforia
global Aiforia users

Seeing is believing.
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