Webinar - Future molecular automation: Three defining trends


Join a free webinar to learn more about three defining trends in the automation of molecular diagnostics presented by three companies: Hamilton Bonaduz, Fast Track Diagnostics, and UgenTec.


The event will be held in English and welcomes all international participants. Anyone interested can join but the content will mainly be oriented towards microbiologists, laboratory technicians, and others related to the industry of molecular diagnostics. The topics will be covered in a short format, averaging 10 minutes per speaker.

This free webinar is scheduled to broadcast on October 4th 2018 at 3 p.m. CEST / 9 a.m. EST


1. Sample to result: Assuring safety and traceability through the complete workflow

Federico Sebastiani, Business Development Manager at Hamilton Bonaduz

  • Integration of a PCR device in the liquid handling system assures the safety of the samples
  • Combination of proved Hamilton liquid handling technology with innovative magnetic induced cycler increase the potential of the lab
  • Powered by software, a sample-to-result device allows laboratories to increase turnaround and standardise diagnostics

2. Syndromic approach: A thrifty approach to molecular diagnostics

Stefanie Michels, Application Specialist at Fast Track Diagnostics, a Siemens Healthineers company

  • Detect simultaneously up to 4 pathogens per tube (bacteria, viruses and fungi): save time, reagents and money
  • Improve diagnosis effectiveness and considerably reduces patient morbidity and risk of mortality
  • Avoid unnecessary medications and development of antibiotic resistance by enabling prompt pathogen-specific treatment

3. Artificial intelligence: Increasing standardisation while reducing costs

Michiel Reessink, Global Key Account Manager at UgenTec

  • Availability of affordable hardware has sped up the transition to artificially intelligent software
  • Combined with smart software, AI shows the potential to truly take non-value adding tasks out of technician hands
  • Particularly machine learning shows great potential to speed up routine molecular diagnostics


If you are interested and would like to hear more, click here to register for the webinar.