Abstract: Disclosed herein are compositions and methods for assaying for proteins and nucleic acids, in parallel.

Abstract: Example embodiments relate to techniques for implementing radar waveform diversity. A technique may involve a radar unit transmitting radar signals into an environment of a vehicle based on a code sequence that indicates a ramp direction and a phase shift for each pulse in a pulse used by the radar unit and receiving radar reflections from the environment. In some instances, the radar unit may leverage antennas in a multiple input multiple output (MIMO) arrangement to further add diversity to transmissions according to spatial code in the code sequence. The technique can further involve using a demodulator to map the environment based on the radar reflections and controlling the vehicle based on the mapping. In some instances, the code sequence is received from a system that is wirelessly providing orthogonal code sequences to multiple emitters.

Abstract: Disclosed herein are particles and methods of using said particles in assays for detection of biomolecules in a sample. Various methods of the present disclosure utilize particles for biomolecule adsorption. In some aspects, the present disclosure provides methods which utilize multiple particle concentrations to differentially fractionate biological samples. In further aspects, the present disclosure provides methods which utilize low particle concentrations to enhance adsorbed biomolecule diversity.

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 systems and methods of use thereof for coupling affinity reagents (e.g., in solution affinity reagents such as proteins, peptides, and nucleic acids and libraries of affinity reagents) with particles having coronas for rapid detection of proteins in a sample.

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 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 biomarkers associated with a disease state such as lung cancer, and methods of discovering or using biomarkers. Also disclosed herein are classifiers built on biomarkers and methods of detecting the disease state in samples from subjects. The method may include obtaining a data set that includes protein information from a biofluid sample, and may involve using a classifier to identify the sample as indicative of a healthy state, a disease state, or a comorbidity.

Abstract: Disclosed herein are compositions and methods for assaying for low volumes of proteins and/or nucleic acids, optionally in parallel.

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: 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.