ImmuneWatch
ImmuneWatch is a Belgian university spin-off that leverages machine learning to predict T-cell receptor (TCR) specificity, enabling a deeper understanding of T-cell responses for therapeutic and diagnostic development. Their core mission is to crack the challenge of predicting T-cell specificity using machine learning, a journey that began at the University of Antwerp and Antwerp University Hospital. ImmuneWatch has significantly improved this technology and is considered a world leader in TCR-epitope predictions. Their platform offers solutions like ImmuneWatch DETECT for extracting therapy-, vaccine-, or pathogen-specific TCRs and ImmuneWatch DESIGN for a reverse vaccinology pipeline to identify immunogenic epitopes. The company's technology is built on over 7 years of research and explainable machine learning algorithms, compatible with various sequencing approaches. They have a growing team of experts in bioinformatics, machine learning, and immunology, and actively pursue collaborations and research, evidenced by their numerous publications and participation in industry events.
ImmuneWatch
ImmuneWatch is a Belgian university spin-off that leverages machine learning to predict T-cell receptor (TCR) specificity, enabling a deeper understanding of T-cell responses for therapeutic and diagnostic development. Their core mission is to crack the challenge of predicting T-cell specificity using machine learning, a journey that began at the University of Antwerp and Antwerp University Hospital. ImmuneWatch has significantly improved this technology and is considered a world leader in TCR-epitope predictions. Their platform offers solutions like ImmuneWatch DETECT for extracting therapy-, vaccine-, or pathogen-specific TCRs and ImmuneWatch DESIGN for a reverse vaccinology pipeline to identify immunogenic epitopes. The company's technology is built on over 7 years of research and explainable machine learning algorithms, compatible with various sequencing approaches. They have a growing team of experts in bioinformatics, machine learning, and immunology, and actively pursue collaborations and research, evidenced by their numerous publications and participation in industry events.