Abstract: Computer-implemented method for providing training data for a machine learning algorithm for image classifying a pathogen infestation of a plant, comprising the steps: providing image data of a plant or a plant part infested with a pathogen; providing genetic result data of the plant or the plant part to which the image data referred comprising at least information about the type of pathogen; labeling the image data with the genetic result data.

Abstract: A computer-implemented method for determining at least one of the treatment parameters selected from the group consisting of: a) at least one time window for a treatment in an agricultural field, b) at least one method for a treatment in an agricultural field, c) at least one product for a treatment in an agricultural field, d) at least one dose rate for a treatment in an agricultural field, and e) at least one application map for conducting a zone-specific treatment in an agricultural field, comprising the following steps: (step 1) providing genetic information of at least one organism which existed or is existing or is expected to exist in the agricultural field, (step 2) at least based on the genetic information of the at least one organism, initiating and/or performing data processing in at least one database and/or data-base system containing (i) genetic information data and (ii) data related to the at least one treatment parameter, (step 3) outputting the at least one treatment parameter based on the re

Abstract: The present teachings relate to a computerimplemented method comprising: receiving, at a processing means, a crop data indicative of the type of a crop; receiving, at the processing means, a region data indicative of at least one harmful organism that may be present at or around the location of the crop; selecting from a database, using the processing means, a sensor arrangement suitable for selectively genotyping at least one relevant harmful organism; wherein the at least one relevant harmful organism is among the at least one harmful organism, and wherein the selection is performed in response to the crop data and the region data. The present teachings also relate to: an electronic device comprising a processing means configured to execute the method steps disclosed; and, a computer software product.

Abstract: The present invention relates to the field of diagnostic methods. Specifically, the present invention contemplates a method for diagnosing heart failure in a subject, a method for identifying whether a subject is in need for a therapy of heart failure or a method for determining whether a heart failure therapy is successful. The invention also relates to tools for carrying out the aforementioned methods, such as diagnostic devices.

Abstract: The present invention relates to the field of diagnostic methods. Specifically, the present invention contemplates a method for diagnosing heart failure in a subject, a method for identifying whether a subject is in need for a therapy of heart failure or a method for determining whether a heart failure therapy is successful. The invention also relates to tools for carrying out the aforementioned methods, such as diagnostic devices.

Abstract: The present invention relates to the field of diagnostic methods. Specifically, the present invention contemplates a method for diagnosing heart failure in a subject, a method for identifying whether a subject is in need for a therapy of heart failure or a method for determining whether a heart failure therapy is successful. The invention also relates to tools for carrying out the aforementioned methods, such as diagnostic devices.

Abstract: The present invention relates to the field of diagnostic methods. Specifically, the present invention contemplates a method for diagnosing heart failure in a subject, a method for identifying whether a subject is in need for a therapy of heart failure or a method for determining whether a heart failure therapy is successful. The invention also relates to tools for carrying out the aforementioned methods, such as diagnostic devices.

Abstract: The present invention relates to a method for diagnosing a predisposition for diabetes, comprising determining a metabolite in a test sample of a subject suspected to have a predisposition for diabetes and comparing the metabolite to a reference to diagnose the, predisposition for diabetes. Moreover, the present invention encompasses a collection of metabolites, a data collection comprising characteristic values of metabolites and a storage medium comprising the data collection. The present invention also relates to a system comprising methods or devices for comparing characteristic values of metabolites of a sample operatively linked to a data storage medium. Additionally, diagnostic methods or devices comprising a metabolite and its use for manufacture of the diagnostic method or device for diagnosing a predisposition for diabetes are provided, along with a method for identifying diabetes-related metabolites.

Abstract: The present invention relates to a method for diagnosing diabetes or a predisposition thereof, comprising determining at least one metabolite in a test sample of a subject suspected to suffer from diabetes or to have a predisposition therefor and comparing the metabolite to a reference to diagnose diabetes or a predisposition therefor. The present invention further encompasses a collection of metabolites, a data collection comprising characteristic values of metabolites and a storage medium comprising the data collection. The present invention also relates to a system comprising methods or devices for comparing characteristic values of metabolites of a sample operatively linked to a data storage medium. The present invention also encompasses diagnostic methods or devices comprising at least one metabolite and use of the metabolite for the manufacture of diagnostic methods and devices for diagnosing diabetes; and a method for identifying diabetes-related metabolites.

Abstract: The present invention relates to a method for diagnosing a predisposition for diabetes comprising determining at least one metabolite in a test sample of a subject suspected to have a predisposition for diabetes and comparing said at least one metabolite to a reference, whereby a predisposition for diabetes is to be diagnosed. Moreover, the present invention encompasses a collection of metabolites, a data collection comprising characteristic values of metabolites and a storage medium comprising said data collection. Furthermore, the present invention also relates to a system comprising means for comparing characteristic values of metabolites of a sample operatively linked to a data storage medium. Further encompassed by the present invention are diagnostic means comprising at least one metabolite and the use of said at least one metabolite for the manufacture of diagnostic means for diagnosing a predisposition for diabetes.

Abstract: The present invention relates to a method for diagnosing diabetes or a predisposition thereof comprising determining at least one metabolite in a test sample of a subject suspected to suffer from diabetes or to have a predisposition therefor and comparing said at least one metabolite to a reference, whereby diabetes or a predisposition therefor is to be diagnosed. Moreover, the present invention encompasses a collection of metabolites, a data collection comprising characteristic values of metabolites and a storage medium comprising said data collection. Furthermore, the present invention also relates to a system comprising means for comparing characteristic values of metabolites of a sample operatively linked to a data storage medium. Further encompassed by the present invention are diagnostic means comprising at least one metabolite and the use of said at least one metabolite for the manufacture of diagnostic means for diagnosing diabetes.