BITEM Projects

AIRating: Artificial Intelligence to support the evidence-based rating of information

With the support of the Swiss Innovation Agency Innosuisse, in this joint work with Impaakt, we aim to operationalize and evaluate the impact of companies and provide a specialized search engine, targeted at ranking sources for impact analysis. We will build on and extend recent advances in deep learning to analyze various dimensions of impact to reduce the manual curation efforts.

e-BioDiv: Open Biodiversity FAIR-ification Services for Biospecimens stored in Swiss Natural History Museums

The Earth’s scholarly knowledge about species diversity (biodiversity) is  included  in  a  corpus  of  several hundred  million  pages  of  publications  spanning  over  250  years,  with  an  arbitrary  starting  point  of  1753  for plants  and  1758  for  animals.  Each  year  an  estimated  19,000  animal  and  plant  species  and  a  multiple  of augmentations  of  data  are  added  to  the  already  approximately  known  1.9M  species.  The  data  about  each species  are  included  in  highly  structured  taxonomic  treatments  and  figures.  Increasingly  these  treatments include

CHEM::AI # Predicting and Exploring Novel Chemical Spaces Using Artificial Intelligence

With the support of the Swiss Innovation Agency Innosuisse, in this joint work with Douglas Teodoro's group and SpiroChem AG,  a world leading organic/synthetic chemistry innovator in the life science industry, we aim to provide effective solutions for virtual synthesis

Swiss Personalized Oncology

Being able, from a large collection of text-based reports, to offer a therapeutic answer to new patient-cases: this is the goal of the Text-Mining group as part of the Swiss Personalized Oncology project (SPHN).  Thus, in collaboration with the five Swiss University Hospitals (CHUV, HUG, Insel, USB, USZ), we are experimenting a multiclass categorization tool using deep learning to mine huge collections of past clinical reports, identify therapeutic responses, generate hypotheses and ultimately support the understanding of cancer mechanisms.

CINECA (Common Infrastructure for National Cohorts in Europe, Canada, and Africa)

CINECA project aims to develop a federated cloud-based infrastructure for making genomic and biomolecular data accessible. This project has already assembled a virtual cohort from population, longitudinal and disease studies, such as the European Genome-phenome Archive (EGA), CanDIG, and H3Africa, and has contributed to harmonising metadata based on open global standards.

Discussion filière ID 2028 !

Lieu: Seedspace, Chêne-Bougerie
Horaire: 9:15-16:15
Pause déjeuner: 12:00-13:15
Pause café (en session): 10:00
Animation: tournante selon l'agenda ci-dessous
Détecteur de terriers: Alexandre
Gardien du temps: Patrick
Le but est de définir ce que la filière sera (cours, étudiants, profs, projets...) dans 20 ans, quand la plupart d'entre nous sera retraitée... nous commencerons modestement par viser 2028 !
Les objectifs de la journée sont:


Web Intelligence for Rare Disease 

The WeIRD project aims to provide the informational instruments needed to navigate, search and ultimately question the web evidence space of RD by providing access to high-quality specific contents helpful to help diagnosing RD. The system will use advanced information retrieval and text mining methods to holistically crawl, index and finally analyze all the explicit and implicit knowledge available on Rare Diseases. 



The EXPAND project aims to exploit a number of selected eHealth assets developed in various initiatives in order to move from a set of point-solution pilots to a large-scale deployment of cross-border facilities. All of this with the aim of supporting Member States (MS) in delivering their local eHealth plans and improving cross-border care.


Thanks to the support of the SNF, the CALIPHO and BiTeM groups join forces to develop the next generation litterature-based biocuration platform for proteomics ! The CALIPHO group, headed by Amos Bairoch maintains the neXtProt molecular biology database.


The aim of the KnoMIE (V2.0) project is to augment the invention discovery platform developed during the V1.0 project with additional novel components. These are required to address opportunities discovered in the industrial use cases and worked examples developed during V1.0 and to directly address the associated unmet customer requirements. V2.0 will allow Iprova to accelerate its growth by ultimately further increasing the efficiency with which it can generate inventions.