“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 assessing the programmed death-ligand 1, which is what PD-L1 stands for, in non-small cell lung cancer (NSCLC).
“Immunotherapy has very beneficial effects, particularly in lung cancer,” explains Liesbeth. The percentage of tumor cells positive for PD-L1 in NSCLC has significant consequences on the choice of this expensive treatment since it predicts the effectiveness. The proportion of the protein must therefore be calculated to aid clinicians in prescribing the correct course of treatment.
This is calculated by specialized pathologists, an arduous task prone to inter- and intra-observer variability, as Liesbeth describes: “Pulmonary pathologists are finding it difficult to score PD-L1 on lung biopsies and disagree in 15-20% of all cases. This has been extensively assessed in literature.”
“Aiforia seemed like the most approachable, easy-to-use solution,” Liesbeth explains why she applied to aiForward. Using Aiforia Create, Liesbeth has already trained her own deep learning AI model to calculate PD-L1 in a speedy and consistent manner. “We annotated everything, about 60 slides, in just a few weeks and it was actually quite easy. Easier than I expected it to be and I expected it to take much longer,” she describes of the training process.
Training is done and now with the PD-L1 detecting AI model in her hands Liesbeth has already started the analysis with the support of the pulmonary pathologists in validating the results. “The Aiforia AI really does something that we could not do otherwise, and the results are looking good.”
Expecting to finish her aiForward project soon, this researcher transformed from not knowing anything about AI to creating her own deep learning AI model in just a matter of weeks.