AI-supported image recognition accelerates identification of zebrafish mutants - 16/07/2025

EmbryoNet AI automatically identifies developmental disorders

In complex organisms, embryonic development is tightly regulated by intricate signalling pathways. When these pathways are disrupted, they can lead to characteristic developmental defects that are not easy to detect with the naked eye. Developmental biologist Prof. Dr. Patrick Müller from the University of Konstanz has developed EmbryoNet, an AI-powered software tool that uses image analysis to reliably identify such developmental disorders.

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.

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.

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.

Dossier - 28/04/2014

Data mining new opportunities for medicine and public health

Research and healthcare activities produce huge quantities of data that need to be presented in an understandable structure. This requires computer-assisted extraction of relevant data and the use of statistical methods. This process, known as data mining, enables the discovery of patterns in large data sets. Data mining methods are of particular importance in fields that use high-throughput, visualisation methods and telemedical applications.

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.

Dossier - 24/05/2012

Biochips microsystems technology for the life sciences

Nanoscale robots and intelligent measurement systems in arteries, fingernail-sized DNA chips that can be used to analyze thousands of genes in tiny samples, intelligent DNA microsensors – the trend in the life sciences is moving towards miniaturization.