Abstract: Disclosed herein are systems and methods for direct classification of biological datasets. The datasets may include raw mass spectrometry data. Some aspects include training a classifier for direct classification of raw data, and some aspects include applying the classifier.

Abstract: Disclosed herein are methods and compositions for processing biofluid samples. Some such methods may include obtaining a biofluid sample from a subject having a disease state such as lung cancer. The biofluid sample may be contacted with a nanoparticles to adsorb proteins. The proteins may then be ionized or contacted with a detection reagent. Also disclosed herein are compositions comprising proteins coupled to a nanoparticle upon contact of the nanoparticle with a biofluid sample from a subject having a disease.

Abstract: Described herein are methods such as multi-omic methods for assessing a disease such as cancer. The multi-omic methods may integrate proteomic, transcriptomic, genomic, lipidomic, or metabolomic data. The method screening diseases or disease states. Also described herein are methods for screening for diseases or disease states from biological samples. The methods may include assessing whether a nodule, mass, or cyst is cancerous.

Abstract: Described herein are methods such as multi-omic methods for assessing a disease such as cancer. The multi-omic methods may integrate proteomic, transcriptomic, genomic, lipidomic, or metabolomic data. The method screening diseases or disease states. Also described herein are methods for screening for diseases or disease states from biological samples. The methods may include assessing whether a nodule, mass, or cyst is cancerous.

Abstract: Disclosed herein are compositions, systems, and methods for identifying neurological diseases from biological sample analysis. A biological sample from a subject may be contacted to a particle to form a biomolecule corona, which may contain a subset of biomolecules from the biological sample and which can have utility for diagnosing a neurological disease state. Further disclosed herein are machine learning algorithms and trained classifiers for distinguishing neurological disease states based on biological data.

Abstract: Disclosed herein are biomarkers associated with a disease state such as lung cancer, and methods of discovering or using said biomarkers. Also disclosed herein are classifiers built on said biomarkers and methods of detecting the disease state in samples from subjects.

Abstract: Example embodiments relate to slanted radomes for protecting radar units. An example radar system may include a radar unit that includes at least one antenna having a radiation pattern. The radar unit is configured to transmit a radar signal based on the radiation pattern and receive radar signals. In addition, the radar system further includes a radome located in a direction of transmission of the radiation pattern. Particularly, the radome is aligned at an angle relative to a plane of the at least one antenna such that reflections of the transmitted radar signal caused by the radome are directed towards at least one of a null of the radiation pattern and an absorption component.

Abstract: Provided herein relates to methods and systems of a complex biomolecule sampling using machine learning algorithms. The methods and systems provided herein can aid in selection of previously unknown biomarkers and provide a report comprising a score or probability relating to a specified biological state. The methods and systems provided herein can aid in the rational design of particles to capture biomarkers.

Abstract: Example embodiments present radar units capable of operating in multiple polarizations. An example radar unit may include a set of transmission antennas and a set of reception antennas. Particularly, the transmission antennas may each be configured to transmit radar signals that radiate in one or more of four potential polarizations. The four polarizations can correspond to horizontal linear, vertical linear and slanted polarizations at approximately positive forty-five degrees and negative forty-five degrees from the horizontal plane. As such, the reception antennas of the radar unit may each be configured to receive reflected radar signals that are radiating in one of the four potential polarizations. The radar unit may further include an amplifier configured to cause one or multiple transmission antennas to selectively transmit between two or more of the four polarization channels.

Abstract: Example embodiments relate to slanted radomes for protecting radar units. An example radar system may include a radar unit that includes at least one antenna having a radiation pattern. The radar unit is configured to transmit a radar signal based on the radiation pattern and receive radar signals. In addition, the radar system further includes a radome located in a direction of transmission of the radiation pattern. Particularly, the radome is aligned at an angle relative to a plane of the at least one antenna such that reflections of the transmitted radar signal caused by the radome are directed towards at least one of a null of the radiation pattern and an absorption component.

Abstract: Example embodiments present radar units capable of operating in multiple polarizations. An example radar unit may include a set of transmission antennas and a set of reception antennas. Particularly, the transmission antennas may each be configured to transmit radar signals that radiate in one or more of four potential polarizations. The four polarizations can correspond to horizontal linear, vertical linear and slanted polarizations at approximately positive forty-five degrees and negative forty-five degrees from the horizontal plane. As such, the reception antennas of the radar unit may each be configured to receive reflected radar signals that are radiating in one of the four potential polarizations. The radar unit may further include an amplifier configured to cause one or multiple transmission antennas to selectively transmit between two or more of the four polarization channels.

Abstract: Example embodiments present radar units capable of operating in multiple polarizations. An example radar unit may include a set of transmission antennas and a set of reception antennas. Particularly, the transmission antennas may each be configured to transmit radar signals that radiate in one or more of four potential polarizations. The four polarizations can correspond to horizontal linear, vertical linear and slanted polarizations at approximately positive forty-five degrees and negative forty-five degrees from the horizontal plane. As such, the reception antennas of the radar unit may each be configured to receive reflected radar signals that are radiating in one of the four potential polarizations. The radar unit may further include an amplifier configured to cause one or multiple transmission antennas to selectively transmit between two or more of the four polarization channels.

Abstract: A novel process and intermediates thereof for making 4,5-dihydro-pyrazolo[3,4-c]pyrid-2-ones of the type shown below from appropriate phenyl hydrazines is described. These compounds are useful as factor Xa inhibitors.

Abstract: A novel process and intermediates thereof for making 4,5-dihydro-pyrazolo[3,4-c]pyrid-2-ones of the type shown below from appropriate phenyl hydrazines is described. These compounds are useful as factor Xa inhibitors.

Abstract: The present invention relates to processes for the production of ?-aryl-?-ketonitriles, which serve as synthetic intermediates in the preparation of a series of biologically important molecules such as corticotropin releasing factor (CRF) receptor antagonists.

Abstract: A novel process and intermediates thereof for making 4,5-dihydro-pyrazolo[3,4-c]pyrid-2-ones of the type shown below from appropriate phenyl hydrazines is described. These compounds are useful as factor Xa inhibitors.