Abstract: A method for assisting with the navigation of a fleet of vehicles including a main vehicle and a secondary vehicle that is mobile in relation to the main vehicle, the method including receiving relative movement data, acquired by one or more sensors, between the main vehicle and the secondary vehicle, estimating a navigation status of the fleet of vehicles by an invariant Kalman filter using the received data as observations, the navigation status including first variables representing a first rigid transformation linking a location mark associated with the main vehicle to a reference point, and second variables representing a second rigid transformation linking a location mark associated with the main vehicle to a location mark associated with the secondary vehicle, the invariant Kalman filter using, as an internal composition law, a law including a term-by term composition of the first rigid transformation and the second rigid transformation.

Abstract: Systems and methods for evaluating clinical comparative efficacy using real-world health data are provided herein. The method includes obtaining health trajectories for members of a healthcare system. The method also includes identifying index events in the health trajectories, and segmenting the health trajectories with index events into sub-trajectories such that each sub-trajectory ends at a different index event. The method also includes generating a digital fingerprint for each sub-trajectory by either (i) generating a raw data vector, or (ii) applying representation learning to generate an embedding vector. The method also includes identifying sub-trajectories that are similar to a patient sub-trajectory by either (i) performing a stratified search, or (ii) performing a nearest-neighbor search on the embedding vectors of the members. The method also includes ranking treatment strategies for the patient based on outcomes of the treatment strategies, according to the identified similar sub-trajectories.

Abstract: Described are methods and systems for identifying phenotypic traits of an individual from nucleotide sequence data. The methods and systems are useful even when the identity of the individual or phenotypic traits of the individual is unknown.