A.I. Took a Test to Detect Lung Cancer. It Got an A

In this article of the New York Times, you can find a presentation of a study on lung cancer CT scans and how AI could help to detect specific nodules. With 6716 cases for the training set, the model shows more than 90% of success with “reductions of 11% in false positives and 5% in false negatives”. You note that Google team are deeply involved in this study. “The whole experimentation process is like a…

"A.I. Took a Test to Detect Lung Cancer. It Got an A"

Challenge IA, Observatoire de l’IA… Comment Pierre Fabre accélère sa transformation digitale

La data est une ressource précieuse pour toutes les entreprises, y compris les groupes pharmaceutiques. Le groupe Pierre Fabre et en particulier sa branche “médicaments et santé” l’a bien compris en multipliant les initiatives d’open innovation comme ce “IA Challenge Santé” organisé il y a quelques semaines à Castres. De telles actions permettent à la fois de sourcer de futurs partenaires comme Quantacell et Unovit lauréates de ce challenge, mais également de faire monter en…

"Challenge IA, Observatoire de l’IA… Comment Pierre Fabre accélère sa transformation digitale"

An Augmented Reality Microscope for Cancer Detection

Google present a great combination between Machine Learning and augmented reality to help pathologists to identify cancers. The presented device is “only” a lightly modified light microscope with real-time analyzing computer. The result is directly displayed in the pathologist field of view. Applications of deep learning to medical disciplines including ophthalmology, dermatology, radiology, and pathology have recently shown great promise to increase both the accuracy and availability of high-quality healthcare to patients around the world.…

"An Augmented Reality Microscope for Cancer Detection"