News and reflections from the world of AI

The impact of digital pathology on immuno-oncology

Immuno-oncology (IO) relies on harnessing our own immune systems in order to develop personalized therapies and medications for cancer. For this, a deep understanding of the immune system as well as its role in the regulation of the tumor microenvironment (TME) is pivotal.

Leiden University Medical Center case study: AI-driven PD-L1 scoring in lung cancer

Describe your project with Aiforia. Liesbeth: We created an AI model, a deep learning algorithm, for PD-L1 scoring in NSCLC histology earlier and are now aiming to validate this AI model in other laboratory workups as well, including different antibodies and scanners. We will describe the steps that are needed for adapting an existing AI model to a new, local laboratory workup (domain ...

PD-L1 case study: interview with Liesbeth Hondelink

“When I first started, I did not know anything about AI,” describes Liesbeth Hondelink, MSc student at Leiden University Medical Centre in the Netherlands, when she applied to the aiForward program. Her research focuses on PD-L1, a protein which has gained much popularity in a field that has been under the spotlight for some time now: cancer immunotherapy. Liesbeth and her lab are specifically ...

MIT case study: advancing lung cancer research with AI

Aiforia is helping advance cancer research at MIT

Pulmonary tumors case study: Ki-67 proliferation index calculation by AI

“With Aiforia, you have the control, you can improve and adapt the methodology…” explains Jenni Säilä, Biomedical Laboratory Scientist at the Helsinki University Hospital. Working with her supervisor Tiina Vesterinen, a researcher at the HUSLAB Department of Pathology, Jenni developed a deep learning AI model with Aiforia Create to quantify Ki-67 positive and negative tumor cells in rare ...