About Aiforia

Pathology connects science and medicine. It is defined as the study of disease and is vital in patient care, diagnostics, treatment, and disease prevention. At the core of what most pathologists do is analyze samples and images. Investigating these for signs of disease, counting cells, measuring tumors, looking for patterns, and so much more. 

 

The rising rate of diseases, like cancer, increases the demand for pathologists. With more disease, come more samples to be analyzed. While workloads are increasing the number of pathologists are not. Less medical doctors are specializing in the field. In the United States between 2007 and 2017 the number of medical professionals specializing as pathologists decreased by 17.5%.

 

Another challenge arises from the fact that current tools and methods available to pathologists for image analysis are not supporting them in meeting these increasing demands. Current methods are often manual, therefore time consuming, and prone to subjectivity. 

 

Although pathologists are the best experts in tissue analysis, there are substantial differences in how different pathologists evaluate the same sample. An urgent need continues to rise for tools that not only provide unbiased and accurate results but also which are easy to deploy in order to assist in lessening the burden on pathologists, hospitals, and ultimately patients.

We are scientists. Our team is composed of biological scientists, software developers, and a business team with years of experience in the pharmaceutical and biotechnology industries.

Our medical scientists and computer scientists work closely together to bring healthcare professionals the highest quality tools and services based on artificial intelligence and cloud technology.  

The cloud-based Aiforia solutions increase the speed, accuracy and consistency of analyzing large and complex medical images across a variety of fields with the power of deep learning artificial intelligence.

Convolutional neural networks of Aiforia’s AI software can be trained to detect and analyze any feature in any image. So far over 400 AI models have been built using Aiforia.

These applications cover diseases such as Parkinson’s, Alzheimer’s, liver inflammation, breast cancer, malaria, and more for use in medical research, preclinical investigation, and clinical diagnostics. 

We have deep roots in the medical field. Our headquarters is located in one of the largest hospital networks in Europe and the heart of biomedical research in Finland at the Helsinki University Hospital.

 

In 2013 researchers at the university’s Institute for Molecular Medicine Finland (FIMM) partnered with experienced life science entrepreneurs to found the first iteration of Aiforia; pioneering one of the first cloud-based microscopy platforms in the world.

 

In 2018, Aiforia launched its deep learning AI solution, available for direct use by healthcare professionals all around the world.