Provided are methods of characterizing and/or predicting risk associated with a biological sample using thermal stability profiles. The methods include obtaining a thermal stability profile of the sample, using a sensor which detects heat capacity values, applying a classification algorithm to the thermal stability profile, and comparing the results thermal stability data in the database to characterize and/or predict risk of the condition. The methods may additionally include a classification algorithm selected from one or more of logistic regression, support vector machines, Fisher's linear discriminant analysis, modified version of Fisher's linear discriminant analysis (MLDA), and partial least squares.

A method and apparatus for the direct measurement of specific heat at constant pressure (Cp). A control fluid of a known amount is supplied to a near adiabatic test chamber having a volume. A collapsible bladder within the test chamber is inflated with an incompressible fluid, changing the volume of the test chamber. The change in pressure and temperature of the control fluid relative to the change in volume of the test chamber is measured. The steps are repeated with a sample fluid. The isentropic enthalpy and specific heat at constant pressure of the sample fluid is determined.

A Process of determining at least one thermal property of a fluid under investigation with a thermal sensor. The thermal sensor has at least a first sensor element that is heated to provide heat to the fluid under investigation. The first or a second sensor that can sense the temperature of the fluid under investigation, wherein the process is characterized by the following steps: a) Providing a calibrated reduced order model which is calibrated with one or more thermal properties of at least a second and a third fluid; b) (Applying an amount of heat to the fluid under investigation by the first sensor element and) measuring the temperature T.sub.sens at the first and/or second sensor element said fluid under investigation; and c) Extracting one or more thermal property of the fluid under investigation by applying the said temperature T.sub.sens to said calibrated reduced order model.

Described herein are systems and methods for detecting a physiological response based on thermal measurements while accounting for effects of the environment. In one embodiment, a system includes an inward-facing head-mounted thermal camera (CAM.sub.in) that takes thermal measurements of a region of interest (TH.sub.ROI) on a user's face, and an outward-facing head-mounted thermal camera (CAM.sub.out) that takes thermal measurements of the environment (TH.sub.ENV). CAM.sub.in does not occlude the region of interest, and the system further includes a computer that detects the physiological response based on TH.sub.ROI and TH.sub.ENV. Optionally, the computer generates feature values based on sets of TH.sub.ROI and TH.sub.ENV, and utilizes a machine learning-based model to detect, based on the feature values, the physiological response.

The invention provides an improved method to predict the solubility of a drug or other molecule in a solid polymer or other matrix at any temperature. The instant invention provides a method to determine the difference in specific enthalpy, specific entropy and specific Gibbs energy between a solid solution and the unmixed components, as well as a method to use those data to predict the solubility of a drug or other molecule in a solid polymer or other matrix. The method uses known thermodynamics equations and thermal analysis data, such as obtained from DSC (differential scanning calorimetry) at temperatures that are lower than the temperature at which the solubility is predicted. The method allows prediction of the drug-in-polymer solubilities without the use of elevated temperatures, but still avoids impractically long experiments. The instant invention can predict the solubility at many temperatures, but is particularly useful in the pharmaceutical sciences to predict the solubility of a drug in a polymer at typical storage temperatures, which are typically near room temperature or below.

The invention provides an improved method to predict the solubility of a drug or other molecule in a solid polymer or other matrix at any temperature. The instant invention provides a method to determine the difference in specific enthalpy, specific entropy and specific Gibbs energy between a solid solution and the unmixed components, as well as a method to use those data to predict the solubility of a drug or other molecule in a solid polymer or other matrix. The method uses known thermodynamics equations and thermal analysis data, such as obtained from DSC (differential scanning calorimetry) at temperatures that are lower than the temperature at which the solubility is predicted. The method allows prediction of the drug-in-polymer solubilities without the use of elevated temperatures, but still avoids impractically long experiments. The instant invention can predict the solubility at many temperatures, but is particularly useful in the pharmaceutical sciences to predict the solubility of a drug in a polymer at typical storage temperatures, which are typically near room temperature or below.

The invention provides an improved method to predict the solubility of a drug or other molecule in a solid polymer or other matrix at any temperature. The instant invention provides a method to determine the difference in specific enthalpy, specific entropy and specific Gibbs energy between a solid solution and the unmixed components, as well as a method to use those data to predict the solubility of a drug or other molecule in a solid polymer or other matrix. The method uses known thermodynamics equations and thermal analysis data, such as obtained from DSC (differential scanning calorimetry) at temperatures that are lower than the temperature at which the solubility is predicted. The method allows prediction of the drug-in-polymer solubilities without the use of elevated temperatures, but still avoids impractically long experiments. The instant invention can predict the solubility at many temperatures, but is particularly useful in the pharmaceutical sciences to predict the solubility of a drug in a polymer at typical storage temperatures, which are typically near room temperature or below.

A method and apparatus for measuring quench characteristics of a fluid. The apparatus includes a probe with an energy input device electrically connected to a display unit to monitor temperature, media flow characteristics and media heat transfer characteristics. The method includes continuously measuring thermal energy transfer in a quenching media by measuring the surrounding fluid's heat transfer relative to input probe energy.

Thermal methods and systems are described for the batch and/or continuous monitoring of films and/or membranes and/or electrodes produced in large-scale manufacturing lines. Some of the methods described include providing an energy input into a film, measuring a thermal response of the film, and correlating these to one or more physical properties and/or characteristics of the film.

A method for determining fluid parameters, such as a heat capacity c.sub.pp, a calorific value Hp, a methane number MN, and/or a Wobbe index WI, of an unknown fluid (g). An unknown flow (55) of the fluid (g) is set in a sensor device (10), the sensor device (10) comprising a thermal flow sensor (1) and a pressure sensor device (15) for measuring at least one temperature value T.sub.1, T.sub.2, a further parameter, and differential pressure value over a flow restrictor (14). Using these measurement parameters T.sub.1, T.sub.2, p and calibration data, the calorific value Hp, and/or the Wobbe index WI, or parameters indicative thereof, of an unknown fluid (g) are calculated. The invention also relates to such a sensor device (10) and to a computer program product for carrying out such a method.