Come work with us on #AI strategies for predicting the structure of small metabolites implicated in metabolic and #cardiovascular diseases from mass spectrometry.

Research engineer position supervised by Francesc Puig-Castellvi in the group of @MarcEDumas
and myself.
www.sfbi.fr/emplois/offr...

This month marks the 60th anniversary of the Monod-Wyman-Changeux (MWC) model, which provides an explanation for one of the fundamental mechanism in molecular biology, cooperativity.
www.linkedin.com/pulse/happy-...
#allostery

#Interdisciplinary PhD at Egid: develop #AI models to evaluate #cardiac (from ECG), #epigenetic (from DNAm), and #metabolomic (from UHPLC-HRMS) ages. Colab between Marc Dumas and @nicg69.bsky.social in Philippe Froguel’s research unit. Contact us for more info. tinyurl.com/AIECGmet

One of the most illustrating picture of #lockdown efficiency in limiting #covid impact on the healthcare system (in France). Now, try to imagine the first 3 curves with no lockdown by looking at the 4th.

Interesting: one can train deep nets without #normalization layers by replacing them with a parameterized tanh()
arxiv.org/abs/2503.10622
tanh() are my favourite #activation function
#deeplearning #artificialintelligence

enhanced flux potential analysis (eFPA) predicts metabolic reaction fluxes from enzyme expression data ➡️ www.embopress.org/doi/full/10....

Reminder: PhD thesis, European genomics institute for diabetes: Graph Neural Networks linking #pathways and #ontologies, trained with #omics data, to understand and predict #cardiometabolic disorders. More tinyurl.com/GNNEgid #deeplearning #diabetes #obesity
Contact me for an initial application.

PhD from Sept 2025: Graph Neural Networks linking #pathways and #ontologies, trained using #genomic and functional genomic data to understand #cardiometabolic disorders . More at tinyurl.com/GNNEgid
#deeplearning #diabetes #obesity