David Heckerman

METHODS OF IDENTIFYING AND TREATING INDIVIDUALS WITH ELEVATED CANCER RISK

High-throughput deep sequencing of nucleic acids across tumors and clones within tumors

Immunogenic response prediction based on major histocompatibility complex (MHC) data

PEPTIDE MANUFACTURABILITY DETERMINATION

NON-INVASIVE METHODS OF MEASURING THE DEGREE OF CELLULAR ENERGY METABOLISM

OPTIMIZING VACCINE PRODUCTION THROUGH SIMULATION

Enrichment of surgical specimens for tumor tissue

Radio frequency antenna for wearable device

METHODS FOR SELECTION AND COMBINATION OF SEQUENCING RESULTS FROM BIOLOGICAL SAMPLES FOR NEOANTIGEN SCORING

Systems for determining elevations of skin features

MULTICOMPONENT CHEMICAL COMPOSITION OF A PEPTIDE-BASED NEOANTIGEN VACCINE

TUMOR CELL IDENTIFICATION BY MAPPING MUTATIONS IN BULK DNA SEQUENCES TO SINGLE CELL RNA SEQUENCES

Personalized Longitudinal Analysis of Circulating Material to Monitor and Adapt Neoantigen Cancer Vaccines

Radio frequency biosensor with integrated compensation

MONITORING CIRCULATING TUMOR DNA TO IMPROVE SUBCLONE PENETRATION OF FOLLOW-UP NEOANTIGEN CANCER VACCINES

Anisotropic pooling for contextual embedding of a compound sequence

Radio frequency antenna for wearable device

METHODS FOR OPTIMIZING TUMOR VACCINE ANTIGEN COVERAGE FOR HETEROGENOUS MALIGNANCIES

Character-level emotion detection

Methods and devices for detection of eating behavior

SELECTING NEOANTIGENS FOR PERSONALIZED CANCER VACCINE

MULTICOMPONENT CHEMICAL COMPOSITION OF A PEPTIDE-BASED NEOANTIGEN VACCINE

RANKING NEOANTIGENS FOR PERSONALIZED CANCER VACCINE

Temporal-clustering invariance in irregular time series data

A DEEP LEARNING MODEL FOR PREDICTING TUMOR-SPECIFIC NEOANTIGEN MHC CLASS I OR CLASS II IMMUNOGENICITY

ASSIGNING PEPTIDES TO PEPTIDE GROUPS FOR VACCINE DEVELOPMENT

System and process for automatically explaining probabilistic predictions