Press release - 14/03/2024 Machine learning classifier accelerates the development of cellular immunotherapies Making a personalised T cell therapy for cancer patients currently takes at least six months; scientists at the German Cancer Research Center (DKFZ) and the University Medical Center Mannheim have shown that the laborious first step of identifying tumor-reactive T cell receptors for patients can be replaced with a machine learning classifier that halves this time.https://www.gesundheitsindustrie-bw.de/en/article/press-release/machine-learning-classifier-accelerates-development-cellular-immunotherapies
Press release - 03/06/2022 Deep Learning helps improve gene therapies and antiviral drugs The nuclease Cas13b associated with the CRISPR gene scissors, which is an enzyme that degrades nucleic acids, has the potential to be used in the future in hereditary diseases to switch off unwanted genes. In the fight against infections, this nuclease is also being researched as an antiviral agent, as Cas13b can specifically intervene in the genetic material of viruses and render them harmless.https://www.gesundheitsindustrie-bw.de/en/article/press-release/deep-learning-helps-improve-gene-therapies-and-antiviral-drugs
Press release - 29/03/2022 Biocopy presents "ValidaTe" – A novel ultra-fast screening technology ValidaTe enables characterization of efficacy and safety of T-cell drug candidates in days rather than months. The breakthrough speed and unprecedented density of data processed can give partner companies a competitive advantage. New high-throughput microarray technology for label-free characterization of drug candidate interactions can significantly accelerate development in immune-oncology.https://www.gesundheitsindustrie-bw.de/en/article/press-release/biocopy-presents-validate-novel-ultra-fast-screening-technology
Dossier - 28/04/2014 Data mining new opportunities for medicine and public health https://www.gesundheitsindustrie-bw.de/en/article/dossier/data-mining-new-opportunities-for-medicine-and-public-health
Dossier - 25/03/2013 Biotechnology goes automated Processes that previously required pipetting analysis and production to be carried out manually are increasingly now controlled by automated systems. However this has not necessarily involved a complete reinvention of the wheel instead automation systems used in the plant construction and mechanical engineering sectors are being adapted and optimised for application in the life sciences. https://www.gesundheitsindustrie-bw.de/en/article/dossier/biotechnology-goes-automated