Abstract: Disclosed herein are computer-implemented methods and systems for predicting transplant rejection. The methods and system may calculate a predicted probability of whether or an extent to which transplant rejection in a transplant recipient will occur may be calculated based on a score. The score may be calculated based on transplant recipient data and one or more parameter weights. The transplant recipient data may comprise transplant donor-derived cell-free DNA (dd-cfDNA) and one or more other types of parameters, such as one or more clinical parameters, one or more functional parameters, one or more immunological parameters, one or more transplant recipient characteristics, or one or more transplant characteristics. In some embodiments, the parameters used for calculating the predicted probability does not comprise a histological parameter.

Abstract: The present invention relates to the field of artificial intelligence used in the medical context. The tissue biopsy is an invasive method that is widely used to obtain histological information that are useful notably for diagnosing. The inventors have thus searched to limit such invasive character. For this, it is proposed a method for predicting the result of a tissue biopsy, which provides accurate results without carrying out a biopsy.

Abstract: Organ transplantation is currently recognised as the treatment of choice for patients with end-stage renal disease (ESRD), which is an underestimated but increasing burden worldwide. Despite the pressing need for improving patients risk stratification raised by transplant societies as well as regulatory agencies, no risk-stratification system exists that adequately predicts transplant patients' individual risk of allograft loss. This currently represents a limitation for improving patient management, as well as for defining early surrogate end points for clinical trials and development of pharmaceutical agents. The inventors now report the development and validation of an integrative risk prediction score to predict kidney allograft survival of individual patients (NCT03474003).

Abstract: A method for controlling selection of an automatic transmission gear ratio with staged ratios or constant variation for a vehicle including a control for preventing/allowing extension of the gear ratio or for controlling a shortening the transmission gear ratio if, at a current engine speed, the power is insufficient for maintaining the vehicle speed. The method prevents extension of the transmission gear ratio if the power available after the extension is insufficient for maintaining the vehicle speed; otherwise allowing extension of the transmission gear ratio.

Abstract: A method for controlling selection of an automatic transmission gear ratio with staged ratios or constant variation for a vehicle including a control for preventing/allowing extension of the gear ratio or for controlling a shortening the transmission gear ratio if, at a current engine speed, the power is insufficient for maintaining the vehicle speed. The method prevents extension of the transmission gear ratio if the power available after the extension is insufficient for maintaining the vehicle speed; otherwise allowing extension of the transmission gear ratio.