Abstract: The present invention concerns means and methods for predicting the risk of a subject to suffer from liver damage. In particular, it pertains to a method for predicting the risk of a subject to suffer from liver damage caused by acetaminophen comprising determining the amount of putrescine in a blood, serum or plasma sample that has been obtained from the subject after administration of acetaminophen, and comparing the determined amount to a reference, whereby the risk of the subject to suffer from liver damage caused by acetaminophen is predicted. Also provided are devices for carrying out the aforementioned methods.

Abstract: The present invention concerns means and methods for predicting the risk of a subject to suffer from liver damage. In particular, it pertains to a method for predicting the risk of a subject to suffer from liver damage caused by acetaminophen comprising determining the amount of putrescine in a blood, serum or plasma sample that has been obtained from the subject after administration of acetaminophen, and comparing the determined amount to a reference, whereby the risk of the subject to suffer from liver damage caused by acetaminophen is predicted. Also provided are devices for carrying out the aforementioned methods.

Abstract: The present invention provides a novel approach to cancer therapy and diagnostics that utilizes nanotubes and other similar nanostructures as both an indirect source of radiation therapy (BNCT), and as delivery vehicles for other types of radio- and chemo-therapeutic materials, as well as imaging agents for diagnostic purposes.

Abstract: The present invention provides a novel approach to cancer therapy and diagnostics that utilizes nanotubes and other similar nanostructures as both an indirect source of radiation therapy (BNCT), and as delivery vehicles for other types of radio- and chemo-therapeutic materials, as well as imaging agents for diagnostic purposes.

Abstract: The present invention provides a novel approach to cancer therapy and diagnostics that utilizes nanotubes and other similar nanostructures as both an indirect source of radiation therapy (BNCT), and as delivery vehicles for other types of radio- and chemo-therapeutic materials, as well as imaging agents for diagnostic purposes.

Abstract: The present invention provides a novel approach to cancer therapy and diagnostics that utilizes nanotubes and other similar nanostructures as both an indirect source of radiation therapy (BNCT), and as delivery vehicles for other types of radio- and chemo-therapeutic materials, as well as imaging agents for diagnostic purposes.

Abstract: The present invention provides a novel approach to cancer therapy and diagnostics that utilizes nanotubes and other similar nanostructures as both an indirect source of radiation therapy (BNCT), and as delivery vehicles for other types of radio- and chemo-therapeutic materials, as well as imaging agents for diagnostic purposes.

Abstract: The present invention provides a novel approach to cancer therapy and diagnostics that utilizes nanotubes and other similar nanostructures as both an indirect source of radiation therapy (BNCT), and as delivery vehicles for other types of radio- and chemo-therapeutic materials, as well as imaging agents for diagnostic purposes.

Abstract: Methods are disclosed for establishing a quantitative relationship between spectral properties of molecules and a biological, chemical, or physical endpoint of the molecules. Spectral data including data from nuclear magnetic resonance, mass spectrometric, infrared, and ultraviolet-visible techniques are used along with endpoint data to train a pattern-recognition program. The training yields a spectral data-activity relationship that may be used to predict the endpoint value of a molecule from its spectral data alone. Methods for rapidly screening isolated compounds or mixtures of compounds based upon their spectral data are included.

Abstract: Methods are disclosed for establishing a quantitative relationship between spectral properties of molecules and a biological, chemical, or physical endpoint of the molecules. Spectral data including data from nuclear magnetic resonance, mass spectrometric, infrared, and ultraviolet-visible techniques are used along with endpoint data to train a pattern-recognition program. The training yields a spectral data-activity relationship that may be used to predict the endpoint value of a molecule from its spectral data alone. Methods for rapidly screening isolated compounds or mixtures of compounds based upon their spectral data are included.