FIND. EXTRACT. PREDICT.
The U.S. National Science Foundation is accelerating convergence research across materials discovery and development as well as production and manufacturing to address challenges aligned to the manufacturing, reuse and recycling of critical mat... read more
We are glad that our new joint publication with Universtity of Luxemburg is available as a preprint
Extracting and Comparing PFAS from Literature and... read more
OntoChem has contibuted a presentation on its efforts to identify and extract novel biomarkers to the 9th Annual Scientific Computing Days of the FDA.
this talk was part of the “Chemoiformatics for One Health” breakout sessio... read more
Wer sind die bekanntesten Startups und Technologieunternehmen in Sachsen-Anhalt? Das Ranking präsentiert die Top 100 Firmen, die jünger als 20 Jahre sind und hierzulande führend in der Startup-... read more
On Sunday August 22, 2021, we participated in a talk on using multiligual patent text documents to extract semantic concepts such as chemical compounds at the ACS fall meeting. Examples were given that compare the original publication language,... read more
On Sunday August 22, 2021, we gave a talk on extracting chemical reactions from patent text and images at the ACS fall meeting. Examples were given for using 3 different extraction algorithms. Searching compounds and chemical reactions is enabl... read more
On Sunday August 22, 2021, we gave a talk on semantic search engines at the ACS fall meeting. Examples were given for multiliguaal searching, indexing both text and images, as well as sequences and chemical structures. Search engines that are u... read more
For all that are interested in bioinformatics – there is a great conference on various aspects of bioinformatics, organized by the DECHEMA in Halle September 6-8, 2021. See you there!
OntoChem recently took part in the digital version of the 2020 Fall meeting of American Chemical Society (ACS). We were proud to participate in two talks about the discovery... read more
A lot of scientific information is captured in images – we are using machine learning techniques such as deep neural networks to classify images. For example, we have applied transfer learning to train a deep co... read more