Envisagenics Validates AI/ML Approach for RNA Target Identification and SSO Therapeutic Development

NEW YORK, April 25, 2024 /PRNewswire/ -- Envisagenics, an AI-driven biotechnology company, today announced the publication in the journal Molecular Systems Biology of study results evaluating the company's SpliceCore AI/ML platform in Triple Negative Breast Cancer (TNBC). This study demonstrates the efficacy of artificial intelligence and machine learning (AI/ML) for target discovery in triple negative breast cancer (TNBC) and for identifying functional and verifiable splice-switching oligonucleotides (SSOs) crucial for the development of RNA therapeutics. The results also validate its potential to tackle a challenging disease such as TNBC, a particularly aggressive cancer affecting approximately 200,000 patients annually, with a dismal five-year survival rate of only 20%. Detailed results from the study, titled "Development and Validation of AI/ML Derived Splice-Switching Oligonucleotides," are available here.