Our new article has been accepted in Frontiers in Genetics: Martin R, Heider D: ContraDRG: Automatic partial charge prediction by Machine Learning, Frontiers in Genetics 2019, in press. (Link) Abstract In recent years, machine learning techniques have been widely used in biomedical research to predict unseen data based on models trained on experimentally derived data.…
Our new article has been accepted in Artificial Intelligence in Medicine: Spänig S, Emberger-Klein A, Sowa JP, Canbay A, Menrad K, Heider D: The Virtual Doctor: An Interactive Clinical-Decision-Support System based on Deep Learning for Non-Invasive Prediction of Diabetes, Artificial Intelligence in Medicine 2019, in press. (Link) Abstract Artificial intelligence (AI) will pave the way…
Our project ISOB: In silico Identifizierungs- und Optimierungsplattform für Biologics has just been granted by the BMWi as a ZIM project. The partners are NanoTemper Technologies GmbH, Dynamic Biosensors GmbH, and the Philipps-University of Marburg. Abstract (German) Das Konsortium beabsichtigt die Entwicklung einer „in silico Optimierungsplattform“ zur wirtschaftlicheren Entwicklung von besseren Wirkstoffen. Dabei ist die…
Dominik gave a talk on machine learning in biomedicine at NanoTemper in Munich.
Today 4pm, Prof. Caroline Friedel (LMU) will give a talk on „Deciphering the interplay between virus-induced read-through transcription, RNA decay and loss of transcription in HSV-1 lytic infection“ in the newly established Women-in-Science-Program of the Faculty of Mathematics and Computer Science of the University of Marburg. Room 04A30, Hans-Meerwein-Straße 6, 35032 Marburg.
Our new article has been accepted in Liver Cancer: Schotten C, Bechmann LP, Manka P, Theysohn J, Dechêne A, El Fouly A, Barbato F, Neumann U, Radünz S, Sydor S, Heider D, Venerito M, Canbay A, Gerken G, Herrmann K, Wedemeyer H, Best J: NAFLD-associated comorbidities in advanced stage HCC do not alter the safety…
Our new article has been accepted in Bioinformatics: Löchel HF, Eger D, Sperlea T, Heider D: Deep Learning on Chaos Game Representation for Proteins. Bioinformatics 2019, in press. Abstract Motivation: Classification of protein sequences is one big task in bioinformatics and has many applications. Different machine learning methods exist and are applied on these problems,…
Dominik is member of the program commitee of the JOINT NETTAB/BBCC 2019 MEETING which will take place November 11-13, 2019 at the Fisciano Campus, University of Salerno, Italy http://www.nettab.org/2019/ https://www.bbcc-meetings.it/ DEADLINE FOR SUBMISSION OF ABSTRACTS FOR ORAL COMMUNICATIONS: Sunday June 30, 2019 TOPICS Oral presentations and posters are particularly encouraged for the usual topics of…
Dominik gave a talk on Artificial Intelligence in Medicine at Harvard Medical School, Boston.
Anne-Christins abstract has been accepted at the ISMB 2019 and she will present a poster on “ The Importance of Privacy Preserving Machine Learning in Psychiatric Research„ Looking forward to ISMB 2019 in Basel!
