Looking Back at MLL Academy 2025

March 26, 2025

From March 24 to 26, the annual MLL Academy on "State of the art diagnostics in hematological malignancies" took place at the MLL in Munich. The event brought together nine international participants from Germany, Turkey, Canada, USA, Ukraine and the Netherlands. A varied program with theoretical and practical content as well as interactive discussions on the diagnosis of leukemia and lymphoma awaited them.

The MLL Academy traditionally provides an in-depth look at the latest developments and diagnostic methods in MLL. This year's program covered the different diagnostic disciplines such as cytomorphology, immunophenotyping, cytogenetics and molecular genetics. MLL's interdisciplinary approach, genome sequencing and bioinformatics were also discussed in detail. A special focus was on the use of artificial intelligence and the resulting optimizations in diagnostics, which we already use on a daily basis at MLL.

The current WHO classification with detailed information on hematologic neoplasms was always an important aspect of the program. Speakers focused on diagnostic criteria, guidelines and recommendations.

Hands-on labs were particularly popular, allowing attendees to hone their microscopy and data analysis skills under expert guidance. The analysis of interactive case studies also enabled them to independently develop diagnoses and apply their knowledge in realistic scenarios.

The program was complemented by an exclusive laboratory tour, where participants saw state-of-the-art equipment in action and gained valuable insights into MLL's technologies, procedures and processes.

We would like to thank all participants for their interest, commitment and inspiring exchange. We are already looking forward to the next MLL Academy!

The dates for 2026 will be announced in our newsletter at the end of the year.

The author

»Do you have questions regarding this article or do you need further information? Please send me an e-mail.«

Dr. rer. nat. Sabine Riedel

Head of Knowledge Management

T: +40 89 99017-403

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