A first proposal for secure data storage into DNA molecules compliant with biological constraints

International audienceenvisioned in 2025. To respond to associated storage needs, technologies as flash memoryand hard drives reach their limits in terms of: density; energy and ecological costs; durabilityfor long term storage. In this context, data storage on DNA molecules has recently been shownas very promising. DNA storage could be 106 times more dense than hard drives, with alifetime 10 to 20 times longer and an energy consumption closed to zero (molecules can bekept at room temperature with no maintenance).In this work, we are interested in securing archived data. DNA storage being a new technology,the opportunity presents itself to integrate this critical aspect at the biological level, contrarilyto what has been done for electronical storage means. In fact, information must be securedat every step of the DNA data storage chain. Data integrity and confidentiality are among themain issues with threats like data modification (e.g. writing of new data) or the theft of theDNA storage support by an attacker. Herein, we propose a solution for writing encrypted dataonto synthetic DNA molecules considering DNA synthesis and the error-correction codeconstraints. Indeed, DNA sequences should conform to structural constraints dictated by thisbiological process and sequencing

Relevance of Watermarking in Medical Imaging

Because of the importance of the security issues in the management of medical information, we suggest to use watermarking techniques to complete the existing measures for protecting medical images. We discuss the necessary requirements for such a system to beacceptedbymedical staff and its complementary role with respect with existing security systems. We present different scenarios, one devoted to the authentication and tracing of the images, the second to the integrity control of the patient's record

Analyse et décision en électromyographie

Une description de la chaîne diagnostique mise en oeuvre pour le traitement des informations neurologiques, en particulier le signal électromyographique (EMG), est proposée à travers une synthèse des derniers travaux réalisés. L'accent est mis sur l'intégration des méthodes de représentation, d'analyse statistique et de techniques d'interprétation. Ces dernières peuvent intervenir dans la modélisation et la conduite du processus global de résolution en s'appuyant sur des connaissances symboliques. Elles peuvent aussi faciliter les étapes bas niveau d'identification des signaux élémentaires et de leurs mélanges

Landmark Localization for Cephalometric Analysis using Multiscale Image Patch-based Graph Convolutional Networks

International audienceAccurate and robust cephalometric image analysis plays an essential role in orthodontic diagnosis, treatment assessment and surgical planning. This paper proposes a novel landmark localization method for cephalometric analysis using multiscale image patch-based graph convolutional networks. In detail, image patches with the same size are hierarchically sampled from the Gaussian pyramid to well preserve multiscale context information. We combine local appearance and shape information into spatialized features with an attention module to enrich node representations in graph. The spatial relationships of landmarks are built with the incorporation of three-layer graph convolutional networks, and multiple landmarks are simultaneously updated and moved toward the targets in a cascaded coarse-to-fine process. Quantitative results obtained on publicly available cephalometric X-ray images have exhibited superior performance compared with other state-of-the-art methods in terms of mean radial error and successful detection rate within various precision ranges. Our approach performs significantly better especially in the clinically accepted range of 2 mm and this makes it suitable in cephalometric analysis and orthognathic surgery

The Mixed Management of Patients' Medical Records: Responsibility Sharing Between the Patient and the Physician

Through this article, we propose a mixed management of patients' medical records, so as to share responsibilities between the patient and the Medical Practitioner by making Patients responsible for the validation of their administrative information, and MPs responsible for the validation of their Patients' medical information. Our proposal can be considered a solution to the main problem faced by patients, health practitioners and the authorities, namely the gathering and updating of administrative and medical data belonging to the patient in order to accurately reconstitute a patient's medical history. This method is based on two processes. The aim of the first process is to provide a patient's administrative data, in order to know where and when the patient received care (name of the health structure or health practitioner, type of care: out patient or inpatient). The aim of the second process is to provide a patient's medical information and to validate it under the accountability of the Medical Practitioner with the help of the patient if needed. During these two processes, the patient's privacy will be ensured through cryptographic hash functions like the Secure Hash Algorithm, which allows pseudonymisation of a patient's identity. The proposed Medical Record Search Engines will be able to retrieve and to provide upon a request formulated by the Medical ractitioner all the available information concerning a patient who has received care in different health structures without divulging the patient's identity. Our method can lead to improved efficiency of personal medical record management under the mixed responsibilities of the patient and the MP