In their ongoing work, QuoData's scientists are pleased to share some of the recent developments in their latest paper - "AI-based identification of grain cultivars via non-target mass spectrometry". The paper deals with the use of non-target high-resolution mass spectrometry and the processing of the extensive data using artificial intelligence approaches.

One of the world’s largest trade fair for healthcare and medicine takes place from 27th to 30th January at the Dubai World Trade Centre. As an exhibitor of the official joint stand “Saxon Pavilion”, QuoData will be attending the fair.

From 17^th to 18^th October, QuoData will visit Ljubljana, Slovenia to attend the EQALM symposium – a meetup of European external quality assurance organizers in laboratory medicine.

During the symposium QuoData scientist Kapil Nichani will introduce how artificial intelligence can be utilized in PT for prognosis of future laboratory performance. A novel easy-to-interpret score developed for qualitative PT/EQA data will also be presented.

The 2019 international PROLab workshop was successfully hosted by QuoData on 25-27 September at its Berlin premises. International participants from Turkey, Serbia, Germany and Indonesia attended this fruitful 3-day in-depth workshop.

The workshop covered various topics on interlaboratory studies - method validation as well as proficiency tests in compliance with the relevant standards such as ISO 13528:2015, ISO 5725 and ISO/IEC 17043.

The range of human activity directly or indirectly involved in addressing issues related to food safety has considerably expanded in the last decade. In the past, the focus in food safety lay on quality control measures implemented to ensure productive processes met performance criteria. Nowadays, however, a narrow understanding of the issues surrounding food safety will compromise our ability to fully mobilize the potential of new digital and AI technologies.

Artificial intelligence methods are now seeping into healthcare, medicine, agriculture and food sectors. Keeping the buzz aside, such methods are increasingly efficient at addressing a task at hand. The area of food safety is not unknown to these technological developments in big data and contemporary machine learning methods. For example, use of AI as part of analytical measurement procedures, internet of things (IoT) enabled analytical devices, use of predictive analytics algorithms for crunching large data sets, to list a few.

As part of QuoData’s ongoing efforts to improve quality assurance and performance assessment of laboratories through proficiency testing, QuoData participated at PT Conf in Oradea, Romania, taking place from September 10th to 13th. 

The seventh international proficiency testing conference brought together an important and vital group of researchers and PT professionals. It also provided QuoData with an opportunity to meet face-to-face in order to share knowledge and insights with other experts.