Enantioselective Synthesis of Homoisoflavanones by Asymmetric Transfer Hydrogenation and Their Biological Evaluation for Antiangiogenic Activity

Neovascular eye diseases are a major cause of blindness. Excessive angiogenesis is a feature of several conditions, including wet age-related macular degeneration, proliferative diabetic retinopathy, and retinopathy of prematurity. Development of novel anti-angiogenic small molecules for the treatment of neovascular eye disease is essential to provide new therapeutic leads for these diseases. We have previously reported the therapeutic potential of anti-angiogenic homoisoflavanone derivatives with efficacy in retinal and choroidal neovascularization models, although these are racemic compounds due to the C3-stereogenic center in the molecules. This work presents asymmetric synthesis and structural determination of anti-angiogenic homoisoflavanones and pharmacological characterization of the stereoisomers. We describe an enantioselective synthesis of homoisoflavanones by virtue of ruthenium-catalyzed asymmetric transfer hydrogenation accompanying dynamic kinetic resolution, providing a basis for the further development of these compounds into novel experimental therapeutics for neovascular eye diseases

Medical Data Management in the SYSEO Project

The SYSEO project aims at producing a software solution suitable for endoscopic imaging in order to enable physicians to manage, manipulate and share medical images. This paper presents our two main components for data management in this system: (1) a novel hybrid rowcolumn database for medical data storage within the cloud and (2) a system for semantic image annotation and retrieval relying on an ontology for polyps. 1

Multimodal and Multimedia Image Analysis and Collaborative Networking for Digestive Endoscopy

International audienceObjective: The ultimate goal of the Syseo project is to create a chain of collaborative processes to allow the hepato-gastroenterology endoscopy specialist to manage images easily. Methods: Syseo contributes to several domains of computer science. First, the proposed storage system relies on DICOM, one of the most important medical standards. Results: Syseo consists in four main components: (1) a data management system relying on the well-known standard DICOM format; (2) a polyp ontology and description logics to manage gastroenterological images; (3) measuring tools to estimate the size of neoplasias from images and (4) pearly User Interfaces to enhance collaboration. Discussion: Preliminary results of Syseo are quite promising since the proposed solutions enable to efficiently store, annotate, retrieve medical data, while providing relatively accurate measuring tools for physicians and medical staff