News and reflections from the world of AI

Does deep learning AI provide a promising alternative to stereology?

Introduction Analyzing three dimensional objects has always been a challenge for researchers who wish to find truthful, unbiased information. This is true especially in the field of neuroscience, where the investigator is often faced with detailed networks of cells in expansive areas. The number one tool enabling this analysis for the past few decades is stereology. Regarded as time efficient and ...

Tufts University case study: enhancing tuberculosis research with AI

Tufts University pathologist enhances tuberculosis research with AI

MIT case study: advancing lung cancer research with AI

Aiforia is helping advance cancer research at MIT

PSC case study: evaluating prognostic indicators in primary sclerosing cholangitis with AI

Introduction Primary sclerosing cholangitis (PSC) is one of the leading causes of liver transplantation in the Nordic countries. A chronic disease of the liver, PSC damages the bile ducts through inflammation and ultimately causes cirrhosis. As the disease progresses the liver slowly loses its ability to function and, in some cases, can lead to bile duct cancer.

Orion pharma case study: accelerating preclinical neurotoxicity analysis with AI

AI enables efficient preclinical neurotoxicity analysis at Orion pharma

Sanofi case study: Parkinson's disease research with AI

Deep learning AI is speeding up Parkinson’s disease research at Sanofi