Whether a search engine or digital assistant is involved, artificial intelligence (AI) has long been a part of our day-to-day work. There are success stories in imaging-based diagnostics thanks to AI as well. Preliminary studies, for example, indicate that the classification of medical findings using AI is equivalent to traditional methods.
Sequencing technologies have developed rapidly in the last few years. It is possible to sequence an entire genome or a larger panel within just a few days. At the MLL, data from the sequencing machine is loaded to our private cloud in real time and automatically preprocessed using the very latest algorithms.
In the age of digital transformation, it appears increasingly anachronistic to communicate findings by fax. In addition, frequent technical problems make them difficult to receive. That is why MLL is now offering a web-based findings portal in which all findings are available for download as a PDF document.
Our understanding of the genetic changes underpinning malignant disease has expanded tremendously in the past few years. This is also reflected in the increasingly complex diagnostics on offer, particularly in the field of molecular genetics.
