Ibex Medical Analytics is transforming cancer diagnostics using Artificial Intelligence and Big Data. Backed by the Kamet startup studio and partnering with MK&M Big Data Science Institute , Ibex’s research team is working to transform how pathology and oncology are practiced and propel them into the information age.

It all began when the company’s two founders decided to join forces in order to advance cancer care – in particular, cancer diagnostics in pathology. Using their combined knowledge of AI, data science, image analysis and machine learning, they created advanced algorithms that could be used in the diagnostic process.

The smart system works as follows: The team collects and scans pathology slides extracted from the Maccabi patient repository, in order to convert them into digital format. Once the slides are in digital format, the pathologist then marks them with his or her findings and then the algorithms are used in order to ‘teach’ the computer to recognize similar findings in the future, automatically.

The more slides collected and the more findings ‘taught’ to the program, the more autonomous the program becomes. In fact, after a highly successful study, in which the algorithm scored 98% accuracy (compared to a pathologist), the system was implemented to act as a fully operational ‘second opinion’ in Maccabi’s mega lab.

The Maccabi Research & Innovation Institute, led by Prof. Varda Shalev, was proud to become the first institute in the world to deploy such a system as part of its routine workflow. Today, every prostate pathology biopsy there is examined first by a pathologist and then by the algorithm.

History itself was made recently, when the Institute became the first to demonstrate the high value of AI by catching a cancer diagnosis in real time – one that had been missed by the lab’s pathologist – and potentially saving the patient’s life.