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: 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: Described herein are methods for identifying a biological state such as pancreatic cancer in a subject. For example, a method may include obtaining protein data, transcriptomic data, genomic data, lipidomic data, or metabolomic data of a subject and identifying a likelihood of the subject having pancreatic cancer. The disclosure includes methods of making and using classifiers.

Abstract: Described herein are methods such as multi-omics methods for assessing a disease. The multi-omics 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. Also described herein are multi-omics databases and methods of using them.

Abstract: Described herein are methods for screening or testing for a disease state using a biological sample. The method may include using glycoprotein, glycopeptide or glycan measurements in evaluating a biological state. The measurements may be obtained through the use of nanoparticles that adsorb glycoproteins, glycopeptides, or glycans.

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 compositions and methods for assaying for proteins and nucleic acids, in parallel.

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 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.