Biomarkers are a very important indicator in the human body and are of great importance for disease diagnosis, drug development, and assessment of the safety and efficacy of new therapies. However, since humans often take a long time to develop biomarkers and the cost is usually high, it is necessary to apply artificial intelligence technology in this field. Recently, a new company called CytoReason announced that its artificial intelligence platform has discovered a new blood-based biomarker that predicts which patients will respond to TNF drugs with an astonishing 94% accuracy.
Founded in October 2016, CytoReason is a cutting-edge company that uses AI models to develop a variety of disease therapies in Tel Aviv, Israel. CytoReason is currently focusing on research in areas such as cancer immunotherapy, autoimmune, neurodegenerative diseases and infectious diseases, using its cutting-edge AI technology platform to improve people's health by enhancing the full understanding of the immune system. situation.
Anti-TNF drugs, also known as TNF inhibitors, are commonly used to treat rheumatoid arthritis, psoriatic arthritis, juvenile arthritis, inflammatory bowel disease (including Crohn's disease and ulcerative colitis), and ankylosing spine Inflammatory diseases such as inflammation and psoriasis. Often, it takes more than three months to determine whether a patient responds to a TNF drug, and the process is repeated, with the possibility of errors at any time.
CytoReason uses the AI ​​model of the immune system to compare the genomic data of those patients with drug-effects with the patient data that the drug has no effect, and find a specific biomarker in the patient's blood and tissue samples to determine the anti-TNF drug pair. Which patients work. The results of the AI ​​model are impressive: for biomarkers in tissue samples, the accuracy of AI model validation is 82%, and the accuracy of biomarker validation in blood samples is increased to 94%.
Mr. David Harel, President and Chairman of CytoReason (Source: LinkedIn)
“With a unique AI platform, we are excited to make a breakthrough in immunology, which is critical for R&D teams to identify, validate and develop targets, and reduce clinical R&D risk,†said CytoReason President and Chairman David. Mr. Harel said: “Drug developers can use our platform to precisely define their research direction while bringing their latest research and innovative therapies to millions of patients.â€
“We are using the AI ​​platform to research popular autoimmune therapies and cancer immunotherapy to discover more biomarkers,†said Mr. Harel. “We are now working on certain dermatology and cardiovasculars. Testing with neurological disease therapies. As our models are able to utilize more and more data, it will be able to find new treatments in an increasingly wide range of therapeutic areas."
The discovery of this new biomarker is only the beginning for CytoReason. CytoReason is currently seeking extensive collaboration with pharmaceutical companies such as Pfizer and with research institutions such as the Parker Institute for Cancer Immunotherapy. We also hope that this company will bring us more new discoveries in the future, which will benefit the majority of patients.
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