A method for providing nutritional supplement information for a subject is proposed, including a sequence of steps in given order and repeated at least once after a time span of at least 2 days or one week for adapting the provided nutritional information: A) taking a sample from the subject; B) analyzing said sample to determine the nutritional status; C) based on the results calculation of nutritional supplements to improve the nutritional status; D) providing individualized nutritional supplement information. This sequence involves the prediction of at least one initial characteristics matrix and multiplication of this matrix weighted with factors, with an initial recommendation vector for the calculation of a target profile vector after a given first time interval from the profile vector as determined in step B), and in each following cycle adaptation by adapting at least one of the characteristics matrix and the weighting factors.

A method for providing nutritional supplement information for a subject is proposed, including a sequence of steps in given order and repeated at least once after a time span of at least 2 days or one week for adapting the provided nutritional information: A) taking a sample from the subject; B) analyzing said sample to determine the nutritional status; C) based on the results calculation of nutritional supplements to improve the nutritional status; D) providing individualized nutritional supplement information. This sequence involves the prediction of at least one initial characteristics matrix and multiplication of this matrix weighted with factors, with an initial recommendation vector for the calculation of a target profile vector after a given first time interval from the profile vector as determined in step B), and in each following cycle adaptation by adapting at least one of the characteristics matrix and the weighting factors.

A method for calculating binding free energy, where the method includes a plurality of steps each including adding a distance restraint potential between a binding calculation target molecule and a target molecule, wherein the method is a method for calculating binding free energy between the binding calculation target molecule and the target molecule using a computer, and wherein anchor points of the binding calculation target molecule in the plurality of the steps are identical anchor points, and anchor points of the target molecule in the plurality of the steps are different anchor points.

A method for calculating binding free energy, where the method includes a plurality of steps each including adding a distance restraint potential between a binding calculation target molecule and a target molecule, wherein the method is a method for calculating binding free energy between the binding calculation target molecule and the target molecule using a computer, and wherein anchor points of the binding calculation target molecule in the plurality of the steps are identical anchor points, and anchor points of the target molecule in the plurality of the steps are different anchor points.

Systems and methods for determining a sequence of at least a portion of a target polymer from a subject are provided. A dataset that comprises one or more image files is obtained. A combined plurality of localizations based at least in part on each respective plurality of fluorophore localizations is determined for each image file in the one or more image files. Each localization in the combined plurality of localizations includes a target polymer position identity and a spatial location. The plurality of localizations are segmented into one or more target polymer strands. Each target polymer strand corresponds to a respective subset of localizations and target polymer position identities. A respective target polymer sequence is assembled using each subset of localizations for each target polymer strand, thereby providing a set of target polymer sequences.

Systems and methods for determining a sequence of at least a portion of a target polymer from a subject are provided. A dataset that comprises one or more image files is obtained. A combined plurality of localizations based at least in part on each respective plurality of fluorophore localizations is determined for each image file in the one or more image files. Each localization in the combined plurality of localizations includes a target polymer position identity and a spatial location. The plurality of localizations are segmented into one or more target polymer strands. Each target polymer strand corresponds to a respective subset of localizations and target polymer position identities. A respective target polymer sequence is assembled using each subset of localizations for each target polymer strand, thereby providing a set of target polymer sequences.

Disclosed is a method for predicting at least one aspect of an enzymatically catalyzed chemical reaction. The method comprises providing a trained machine learning model, and inputting one or two input strings into the training model. Each input string is selected from a group of strings consisting of: a string representation of at least one educts of the chemical reaction, a string representation of at least one product of the chemical reaction, and/or a string representation of amino acids of an enzyme which is supposed to transform the educts into the products in the reaction. The trained machine learning model predicts at least the one or more strings which were not provided as input and the prediction is performed as a function of the one or two strings provided as input. The method outputting the prediction result for predicting or optimizing the chemical reaction.

A medical information processing apparatus according to an embodiment includes processing circuitry. The processing circuitry obtains image data rendering a blood vessel of a patient. The processing circuitry performs a fluid analysis on the obtained image data and calculates an index value related to a blood flow in the blood vessel with respect to each of a plurality of positions in the blood vessel. With respect to the index values to be calculated, the processing circuitry selects a position in which a first value is to be obtained from among the plurality of positions or selects a value serving as the first value from among the index values exhibited in positions. The processing circuitry causes a display to display the first value in a predetermined display region thereof used for displaying the first value.

A medical information processing apparatus according to an embodiment includes processing circuitry. The processing circuitry obtains image data rendering a blood vessel of a patient. The processing circuitry performs a fluid analysis on the obtained image data and calculates an index value related to a blood flow in the blood vessel with respect to each of a plurality of positions in the blood vessel. With respect to the index values to be calculated, the processing circuitry selects a position in which a first value is to be obtained from among the plurality of positions or selects a value serving as the first value from among the index values exhibited in positions. The processing circuitry causes a display to display the first value in a predetermined display region thereof used for displaying the first value.

Disclosed herein is Arrowland, a web-based software tool for inputting, managing and viewing multiomics data, such as transcriptomics, proteomics, metabolomics and fluxomics data in an interactive, intuitive and multiscale system.