Abstract: Embodiments of the inventive subject matter are directed to retirement plan optimization. By collecting client information, systems and methods of the inventive subject matter are configured to develop scenarios for a user. From those scenarios, multiple simulations can be run. Each scenario features scenario parameters, and each simulation features simulation parameters. Scenario parameters can include ranges of values or a set of different possible values. For a given scenario, many simulations can be run, where each simulation has a corresponding set of simulation parameters, and where each set of simulation parameters features set values for each of the scenario parameters for that scenario. After running multiple simulations for each scenario, high performing simulations can be identified based on a base case performance and based on one or more optimization goals. Once high performing simulations are identified, actionable retirement plans can be developed therefrom.

Abstract: Systems and methods of determining pre-quantitation attributes of biological samples using post-quantitation attributes of those samples is disclosed. By altering a set of biological samples in a measurable way before running the set through an instrument (e.g., a mass spectrometer), a model can be developed that enables determination of the unknown pre-quantitation attributes in other biological samples as a function of post-quantitation attributes.

Abstract: Systems and methods of determining pre-quantitation attributes of biological samples using post-quantitation attributes of those samples is disclosed. By altering a set of biological samples in a measurable way before running the set through an instrument (e.g., a mass spectrometer), a model can be developed that enables determination of the unknown pre-quantitation attributes in other biological samples as a function of post-quantitation attributes.

Abstract: This invention comprises a method of simulating an ecological environment, where digital agents within the environment are capable of processing data, and agents that successfully process data are permitted to reproduce to generate new algorithms. The invention is a groundbreaking advance in artificial intelligence and machine learning and enables processes that were once considered computationally impossible.

Abstract: Systems and methods of determining pre-quantitation attributes of biological samples using post-quantitation attributes of those samples is disclosed. By altering a set of biological samples in a measurable way before running the set through an instrument (e.g., a mass spectrometer), a model can be developed that enables determination of the unknown pre-quantitation attributes in other biological samples as a function of post-quantitation attributes.

Abstract: Systems and methods of determining pre-quantitation attributes of biological samples using post-quantitation attributes of those samples is disclosed. By altering a set of biological samples in a measurable way before running the set through an instrument (e.g., a mass spectrometer), a model can be developed that enables determination of the unknown pre-quantitation attributes in other biological samples as a function of post-quantitation attributes.