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 be used in analytical and clinical diagnosis of cancer and other diseases. This system is more sensitive and quick than currently available methods such as 2-D gel electrophoresis and mass spectrometry which can detect, in a single run, at most 1000 different protein species out of 100.000 to 500.000 calculated protein molecules expressed in any tissue or body fluid 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.
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.