The PDF was saved in your download folder or opened in a new tab in your browser. You can find the download folder on your drive or in the browser bar of Firefox and Safari at the top right next to the arrow icon.
Modern diagnostics are predicated on standard operating procedures (SOP) – reproducible and automated process steps – and state-of-the-art technologies, as well as thoroughly trained and highly educated employees. Controlling laboratory processes and ensuring the integration of external software solutions, our proprietary laboratory information and management system (LIMS) optimizes all of our procedures.
Our team and the equipment it uses work with comprehensive software solutions and maximum automation, supported wherever purposeful by artificial intelligence to ensure precisely the right outcome to match your individual requirements. Here, we draw on fully automatic, software-driven and barcode-controlled processing and treatment of blood and bone marrow samples by state-of-the-art robots and measurement systems. Controlled by a central software structure, the findings are shared directly between the devices and staff during operation and sample analysis.
From receipt to diagnosis
Progress through automation
Use of artificial intelligence
Extensive automation and digitization guarantee optimized sample routines at MLL. As soon as the sample arrives, a barcode is assigned to each patient that can be read at all workstations and devices, including by the laboratory robots.
The laboratory database then updates transfer of the sample between the responsible staff members and the measurement equipment, adding the findings to the precise second. At the same time, the workflow saved for each individual sample automatically defines the next steps of sample processing, measurement, assessment and diagnosis.
All of the devices used along the way are controlled by the central laboratory database. They automatically report the analysis progress and findings for each individual patient to this database. Proprietary algorithms conduct, i.e. support the complex bioinformatic evaluation that is sometimes necessary, including the use of artificial intelligence.
Recent years have seen rapid progress in the areas of cell cultivation, cell storage and molecular methodology especially. This applies also to the software solutions used to process samples and assess the findings.
MLL has automated and standardized its workflows to the greatest possible extent, and devices are controlled by a central software platform. Samples are always fitted with barcodes for processing.
We have developed a broad range of software products – specifically for molecular genetics – that preprocess the data acquired from the sequencers, preparing it for final assessment by scientists (molecular biologists and bioinformatics specialists), medical professionals and medical technicians.
All conceivable software products are already integrated in these tools, up to and including AI applications (artificial intelligence).