A system for determining relative operational performance in a clinical trial may include a processor, a data comparator and visualizer, and a graphical user interface. The processor filters received clinical data into multiple metric criteria to generate multiple metric data sets and filters each metric data set into a respective industry data set and a respective candidate data set. The processor then calculates statistical measures for each industry data set and candidate data set and transforms each industry data set and candidate data set based on each data set's respective statistical measures. The data comparator and visualizer compares each transformed candidate data set to the transformed industry data set for the respective metric criterion to determine a candidate percentile for each metric criterion. The graphical user interface displays the candidate percentiles for the metric criteria. A method for determining relative operational performance in a clinical trial is also described.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining a subset of brain data of a patient. One of the methods comprises providing connectivity data for presentation to a user, the connectivity data characterizing, for each pair of parcellations comprising a first parcellation and a second parcellation from a plurality of parcellations, a degree of correlation between the brain activity of the first parcellation and the brain activity of the second parcellation in the brain of a patient; determining one or more elements of interest in the connectivity data; determining one or more parcellations associated with elements of interest in the connectivity data; obtaining brain atlas data; determining a subset of the brain atlas data associated with the determined parcellations; and providing the subset of the brain atlas data to a user device for rendering the subset to the user.

Systems, methods and applications for a system for obtaining a medical interpretation for medical images include a customer portal where a customer uploads one or more medical images and accesses a marketplace for obtaining the medical interpretation, where a medical case includes one or more medical images. The system also includes an image service provider portal where a medical imaging expert accesses the medical case and provides the medical interpretation. Further, the system includes a back-end server that stores the medical case and acts as a communication conduit between the customer and the medical imaging expert.

A method and apparatus can include a system controller and a system processor. The system controller can retrieve a health science related dataset from at least one database, the retrieved dataset including information associated with at least one of a patient medical information, healthcare provider clinical information, health related publications and treatment information, and pharmaceutical information, and transmit to a user equipment a recommendation of at least one of health diagnosis and treatment for a patient. The system processor can utilize multidimensional nonlinear manifold clustering on at least one element from the retrieved dataset, assign an entity formulated from the at least one element of the retrieved dataset into a decision hyper-volume based on the multidimensional nonlinear manifold clustering, and determine the recommendation of at least one of health diagnosis and treatment for the patient based on the assignment of the entity into the decision hyper-volume.

A method and apparatus can include a system controller and a system processor. The system controller can retrieve a health science related dataset from at least one database, the retrieved dataset including information associated with at least one of a patient medical information, healthcare provider clinical information, health related publications and treatment information, and pharmaceutical information, and transmit to a user equipment a recommendation of at least one of health diagnosis and treatment for a patient. The system processor can utilize multidimensional nonlinear manifold clustering on at least one element from the retrieved dataset, assign an entity formulated from the at least one element of the retrieved dataset into a decision hyper-volume based on the multidimensional nonlinear manifold clustering, and determine the recommendation of at least one of health diagnosis and treatment for the patient based on the assignment of the entity into the decision hyper-volume.

A method for automated therapy discovery includes: accessing a corpus of scientific publications; compiling a population of semantic concepts from the corpus of scientific publications into a vector space model; deriving domains of concepts in the vector space model based on proximity to domain descriptors in the vector space model; deriving association scores and action characteristics between connected concepts, based on proximity and action descriptors in the vector space model; generating a semantic network; receiving a query for a target concept and a target domain at a research portal; isolating a set of edges between a target node and a subset of nodes; identifying subsets of concepts along the set of edges; generating hypotheses for directions and magnitudes of effects of subsets of concepts on the target concept based on association scores and action characteristics stored in connections along the set of edges; and returning hypotheses to the research portal.

A computer implemented method in a data processing system comprising a processor and a memory, comprising instructions which are executed by the processor to cause the processor to implement a meal plan optimization for hiking or trekking trips, comprising: receiving a request to generate a meal plan for an individual in a specific trek, said individual identified by at least one of: allergenic tolerances, fitness level, weight, dietary choices, age; said specific trek or hike is identified by at least one of: number of days, level of activity, expected weather; said method calculates the expected number of calories and nutritional contents needed for individual based on all known data; said method calculates a selected meal plan, including varieties, for the individual, and presents said plan to the individual.

Systems and methods for tracking healing progress of multiple adjacent wounds are provided. In one embodiment, a system may include a processor configured to receive a first image of a plurality of adjacent wounds near a form of colorized surface having colored reference elements, determine colors of the plurality of wounds, correct for local illumination conditions, receive a second image of the plurality of wounds near the form of colorized surface, to determine second colors of the plurality of wounds in the second image, match each of the plurality of wounds in the second image to a wound of the plurality of wounds in the first image, and determine an indicator of the healing progress for each of the plurality of wounds based on changes between the first image and the second image.

Systems and methods for tracking healing progress of multiple adjacent wounds are provided. In one embodiment, a system may include a processor configured to receive a first image of a plurality of adjacent wounds near a form of colorized surface having colored reference elements, determine colors of the plurality of wounds, correct for local illumination conditions, receive a second image of the plurality of wounds near the form of colorized surface, to determine second colors of the plurality of wounds in the second image, match each of the plurality of wounds in the second image to a wound of the plurality of wounds in the first image, and determine an indicator of the healing progress for each of the plurality of wounds based on changes between the first image and the second image.

Systems and methods are provided for determining the placement of energy-delivery nodes of an energy-based therapeutic device. In one aspect, recommended placement locations are customized by analyzing an image or video of the user and may be superimposed on an image corresponding to an affected body part.