By Sylvain Berlemont (CEO), Shazia Osman (Senior BD), Kevin Adam (Senior BD) - 02 Apr 2021
Keen Eye is attending the Biomarker Series Week starting May 17th to the 21st! Our CEO, Sylvain Berlemont will introduce Keen Eye in a Thought Leader presentation and our business team will be happy to meet you to discuss about your biomarker research and analysis projects.
By David Guet (Digital Pathology Specialist), Melanie Lubrano (Data Scientist) - 30 Mar 2021
Histopathology is the analysis of tissue samples under a microscope in order to establish the severity of a disease. More precisely, it concerns the examination of tissue extracted from surgery, biopsy or autopsy. The tissue extracted from the body of the patient is placed in a fixative medium in order to prevent decay. It is then embedded in a cassette in wax before being sliced in thin microtome sections. Thin tissue sections are stained using different staining protocols (H&E, chromogenic, immunofluorescence, etc.) and mounted on glass slides before observation.
08 Mar 2021
Juvenile-onset recurrent respiratory papillomatosis (JoRRP) is a condition characterized by the repeated growth of benign exophytic papilloma in the respiratory tract. The course of the disease remains unpredictable: some children experience minor symptoms, while others require multiple interventions due to florid growth. Our study aimed to identify histologic severity risk factors in patients with JoRRP. Forty-eight children from two French pediatric centers were included retrospectively.
By Eunice Stennett, David Guet, Hippolyte Heuberger - 02 Mar 2021
Data science is the art of extracting and interpreting relevant information from large amounts of complex data. It has evolved rapidly over the years and is now recognized as a valuable medical image analysis tool. Until recently, the field of computational pathology relied on machine learning (ML) methods. These are highly-supervised algorithms designed to learn human-crafted annotations, and extract and decipher relevant features from their analysis. Keen Eye image-based biomarker analysis, on the other hand, relies on deep-learning (DL) methods. Those semi-supervised or unsupervised algorithms improve feature extraction and interpretability from translational to clinical research.
22 Feb 2021
Deep learning methods are widely used for medical applications to assist medical doctors in their daily routine. While performances reach expert’s level, interpretability (highlighting how and what a trained model learned and why it makes a specific decision) is the next important challenge that deep learning methods need to answer to be fully integrated in the medical field.
By David Guet, Thomas Le Meur - 05 Feb 2021
For years now, digital pathology has seen the emergence of a plethora of heterogeneous different image types designed for clinical research use or routine diagnostics. Among them one can find tissue microarrays, or TMAs, introduced in the 1990s. TMA images differ from standard histopathological samples; instead of having a whole tissue section on a single slide, we find a large number of tissue cores organized on a grid, from different patients and, possibly from different tissue types. On one TMA slide, we can find several hundred samples.
02 Nov 2020
Background. During this collaboration between CILcare and KeenEye Technologies, a full pipeline has been designed to automatically classify and quantify the number of hair cells in 3D cochlea images.
01 Oct 2020
Abstract Background. In recent years, deep learning has been increasingly applied to a vast array of ophthalmological diseases. Inherited retinal diseases (IRD) are rare genetic conditions with a distinctive phenotype on fundus autofluorescence imaging (FAF).