Prognomiq, Inc.

Seer, Inc.

Philip Ma

John E Blume

Omid C Farokhzad

Gregory Troiano

Bruce Wilcox

Asim Siddiqui

William C Manning, Jr

Chinmay Belthangady

Manway Liu

Martin J Goldberg

Xiaoyan Zhao

Robert S Langer, Jr

Michael Figa

Daniel Hornburg

Damian Harris

Theodore Platt

Mi Yang

Francois Collin

Sangtae Kim

Manoj Khadka

Ehdieh Khaledian

Hyungseok Kim

Joon-Yong Lee

Asim S Siddiqui

Margaret Donovan

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.

Direct classification of raw biomolecule measurement data

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.

Multi-omic assessment using proteins and nucleic acids

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

Compositions and methods for assaying proteins and nucleic acids

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.

Methods of processing a biofluid sample

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.

Lung biomarkers and methods of use thereof

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San Jose, CA, United States of America

Philip Ma