Abstract: Provided are wireless electronic devices for thermally interfacing with a biological tissue. The device may have a flexible substrate; a thermal actuator supported by said flexible substrate configured to provide a thermal input to said biological tissue; a temperature sensor supported by said flexible substrate configured to measure a temperature to determine thermal conductivity of said biological tissue; and a wireless electronic system in electronic communication with said thermal actuator and said temperature sensor, wherein said wireless electronic system is configured to provide two-way communication with an external controller. Also provided are related methods of using the electronic devices, including for cosmetic, beauty, or medical applications.

Abstract: Hydrocephalus and shunt-related expenditures cost the US system over $2 billion dollars in annual expenses, with 125,000 shunt surgeries per year and an untreated mortality rate estimated at 50-60%. Existing diagnostics are expensive, inaccurate, and often harmful or invasive, and can lead to unnecessary admissions, further testing, or needless surgery. Collaborative efforts between Northwestern materials engineers headed by Dr. John Rogers alongside the leadership of neurological surgeons at Northwestern Memorial Hospital and Lurie Children's Hospital have produced and validated a noninvasive, thermal biosensor capable of diagnosing ventricular shunt malfunction.

Abstract: Rapidly administered emergency drug therapy represents life-saving treatment for a range of acute conditions including hypoglycemia, anaphylaxis, and cardiac arrest. A miniaturized (e.g., <3 cm3), lightweight (e.g., <2 g), minimally invasive fully wireless, emergency rescue device for the storage and active burst-release of indefinitely stable particulate forms of peptide and hormone drugs into subcutaneous sites for direct reconstitution in interstitial biofluids is disclosed. The device demonstrates a fast (e.g., <5 minutes) therapeutic effect. The device may deliver a drug across fibrotic tissue, which commonly accumulates following in vivo implantation, thereby accelerating systemic delivery. Fully wireless delivery of dry particulate glucagon in vivo is demonstrated, providing emergency hypoglycemic rescue in diabetic mice. Additionally, triggered delivery of epinephrine is demonstrated in vivo.

Abstract: Systems and methods for monitoring flow of cerebrospinal fluid through shunts are disclosed. A wireless, flexible flow sensor may comprise a substrate, a thermal actuation mechanism configured to supply thermal energy to a portion of a skin surface of the body, the portion of the skin surface overlaying a subdermal conduit for a body fluid, a temperature sensor configured to detect a change in a temperature related to the portion of the skin surface, a motion sensor supported by the substrate and configured to detect an orientation related to a segment of the subdermal conduit, and a microprocessor in wireless communication with a controller. The microprocessor may comprise circuitry configured to receive, from the controller, a first signal to activate the thermal actuation mechanism; and receive, from the temperature sensor, a second signal associated with the change in temperature related to the portion of the skin surface.

Abstract: A method for providing stock predictive information by a cloud-based computing system implementing a random forest algorithm via a machine learning model by receiving a set of stock data from multiple sources of stock data wherein the set of stock data at least comprises stock prices at the open and close of a market, changes in stock prices during the open and close of a market, and real-time stock data; defining a range in time contained in a window defined of an initial selected month, a day or real-time period and an end of the selected month, day and real-time period; applying the random forest model to the set of stock data by creating multiple decision trees to predict a stock price in a quantified period, amount or percentage change in a stock price; and presenting the predicted stock price in a graphic user interface to an user.

Abstract: A method for providing stock predictive information by a cloud-based computing system implementing a random forest algorithm via a machine learning model by receiving a set of stock data from multiple sources of stock data wherein the set of stock data at least comprises stock prices at the open and close of a market, changes in stock prices during the open and close of a market, and real-time stock data; defining a range in time contained in a window defined of an initial selected month, a day or real-time period and an end of the selected month, day and real-time period; applying the random forest model to the set of stock data by creating multiple decision trees to predict a stock price in a quantified period, amount or percentage change in a stock price; and presenting the predicted stock price in a graphic user interface to an user.

Abstract: A bioelectronic device houses therapeutic cells and is configured to be implanted in a host. The device includes an electrochemical cell that produces oxygen gas from water when a voltage is applied. The oxygen gas produced by the electrochemical cell is stored in a gas diffusion chamber in the device. The therapeutic cells in a cell housing chamber in the device receive oxygen gas from the gas diffusion chamber to help keep the cells alive and functioning when the device is implanted in a low oxygen environment. The device receives power wirelessly.

Abstract: Provided are conformable devices to measure subdermal fluid flow and related methods. A soft, stretchable and flexible substrate supports a thermal actuator and various specially positioned temperature sensors. A microprocessor in electronic communication with sensors calculates subdermal fluid flow from the measured upstream and downstream temperatures, as well as various application-dependent parameters. Devices and methods provided herein are particularly useful for measuring cerebral spinal fluid in a ventricular shunt placed for treatment of hydrocephalus.

Abstract: Provided are conformable devices to measure subdermal fluid flow and related methods. A soft, stretchable and flexible substrate supports a thermal actuator and various specially positioned temperature sensors. A microprocessor in electronic communication with sensors calculates subdermal fluid flow from the measured upstream and downstream temperatures, as well as various application-dependent parameters. Devices and methods provided herein are particularly useful for measuring cerebral spinal fluid in a ventricular shunt placed for treatment of hydrocephalus.

Abstract: Provided are conformable devices to measure subdermal fluid flow and related methods. A soft, stretchable and flexible substrate supports a thermal actuator and various specially positioned temperature sensors. A microprocessor in electronic communication with sensors calculates subdermal fluid flow from the measured upstream and downstream temperatures, as well as various application-dependent parameters. Devices and methods provided herein are particularly useful for measuring cerebral spinal fluid in a ventricular shunt placed for treatment of hydrocephalus.

Abstract: Provided are conformable devices to measure subdermal fluid flow and related methods. A soft, stretchable and flexible substrate supports a thermal actuator and various specially positioned temperature sensors. A microprocessor in electronic communication with sensors calculates subdermal fluid flow from the measured upstream and downstream temperatures, as well as various application-dependent parameters. Devices and methods provided herein are particularly useful for measuring cerebral spinal fluid in a ventricular shunt placed for treatment of hydrocephalus.

Abstract: Provided are conformable devices to measure subdermal fluid flow and related methods. A soft, stretchable and flexible substrate supports a thermal actuator and various specially positioned temperature sensors. A microprocessor in electronic communication with sensors calculates subdermal fluid flow from the measured upstream and downstream temperatures, as well as various application-dependent parameters. Devices and methods provided herein are particularly useful for measuring cerebral spinal fluid in a ventricular shunt placed for treatment of hydrocephalus.

Abstract: Provided are wireless electronic devices for thermally interfacing with a biological tissue. The device may have a flexible substrate; a thermal actuator supported by said flexible substrate configured to provide a thermal input to said biological tissue; a temperature sensor supported by said flexible substrate configured to measure a temperature to determine thermal conductivity of said biological tissue; and a wireless electronic system in electronic communication with said thermal actuator and said temperature sensor, wherein said wireless electronic system is configured to provide two-way communication with an external controller. Also provided are related methods of using the electronic devices, including for cosmetic, beauty, or medical applications.

Abstract: A method for providing stock predictive information by a cloud-based computing system implementing a random forest algorithm via a machine learning model by receiving a set of stock data from multiple sources of stock data wherein the set of stock data at least comprises stock prices at the open and close of a market, changes in stock prices during the open and close of a market, and real-time stock data; defining a range in time contained in a window defined of an initial selected month, a day or real-time period and an end of the selected month, day and real-time period; applying the random forest model to the set of stock data by creating multiple decision trees to predict a stock price in a quantified period, amount or percentage change in a stock price; and presenting the predicted stock price in a graphic user interface to an user.

Abstract: A multi-factor qualitative method for assessing assets including receiving market data from a plurality of market data sources for processing by a trading app to make decisions as to whether to buy, sell, or hold a particular market asset; applying a data normalizer to the market data for processing dissimilar sets of market data; receiving, by user input, a particular market asset in which a decision is required; processing, the market data by a complex event processing engine using an algorithmic solutions from a particular sector for market analysis of market data to generate a multi-factor model wherein the multi-factor model comprises: at least one of a set of a plurality of multi-factors related to the particular sector; applying, the multi-factor model by the trading app, to perform a multi-factor analysis making a decision whether to buy, sell or hold the market asset based on a normalized score.

Abstract: Devices and methods useful for sensing epidermal tissue are disclosed. Thermal data from the devices allows for determination of thermal transport properties, such as thermal conductivity, thermal diffusivity and heat capacity per unit volume. From these data, tissue parameters, such as hydration state, stratum corneum thickness, epidermis thickness and vasculature structure may be determined. These parameters may be used, for example, to evaluate the efficacy of dermatological compounds.