NEW BIOMARKER DISCOVERY AND IDENTIFICATION SYSTEM USING AI-DRIVEN MACHINE LEARNING.
Summary: A new AI-driven machine learning system has been designed for the identification, purification, characterization and measurement of all new biomarkers present in biological fluids, even in trace-level concentrations. This system could used in analytical and clinical diagnosis of cancer and other diseases. This system is more sensitive than currently available methods such as 2-D gel electrophoresis and mass spectrometry, which can detect approximately 1000 different protein species of at least 500.000 calculated protein molecules expressed in any tissue at any time.
Fields of the invention: Biotechnology, clinical and analytical diagnosis of cancer and other diseases, proteomics, pharmacology, biochemistry, immunology, ai, bioinformatics, machine learning, etc.
We are looking for development partners.
LINKS:
NEW BIOMARKER DISCOVERY AND IDENTIFICATION SYSTEM.
ALGORIMUT©: MUTATION PREDICTION ALGORITHM.
TIME-LAPSE SEQUENTIAL QUANTITATIVE SINGLE-CELL PROTEOMIC ANALYSIS.
NEW DRUG PROTEIN CONJUGATES AND ANTIBODY IMMUNOCONJUGATES (ADC) FOR TARGETED THERAPY.