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Methods for single-cell multi-omics integration – scMOmix
depth and in the number and nature of the measured features. The challenge is thereby to extract biological
Opinion dynamics in social networks in presence of multiple decision-makers – NICETWEET
some key features need to be accounted for in a simultaneous manner. Some of these features are: the [...] we assume that the social network possesses new features that correspond to the economic applications of [...] y; possible presence of extremists. A salient feature with respect to the state-of-the art is that opinion
Low Rank Approximations for Artificial Intelligence – LoRAiA
n such as labeled data, a known dictionary of features or additional multimodal dataset raises challenging
Molecular role of the viral nucleoprotein in the SARS-Cov-2 replication cycle – SARS2NUCLEOPROTEIN
intercalated by two folded domains. The structural features of coronaviral N are strongly conserved, with
Role of hair follicle stem cells in Hidradenitis Suppurativa Pathogeny – HF-HS
exhibited hair follicle stem cells (HF-SC) with features of replicative stress abnormalities. Our recent
Orchestration in time and space of southeast Tibetan faults, views from geology and geodesy – Tibetan-Orchestra
The eastern edge of the Tibetan Plateau is a key location to study the interplay between strike-slip motions and thickening through time and understand the regional orchestration between lateral propagation and crustal thickening of the plateau .
Design of metal catalyzed atropo-enantioselective C-N coupling as a gate to modern drugs – AtropCN
Axial chirality is an intriguing feature of many biologically active compounds, which recently has been attracting a growing attention of the pharmaceutical industry. Great majority of the axially chiral compounds correspond to biaryl compounds but the atropoisomerism may also arise from a restricted rotation around a C-N bond. However, in clear contrast to the emerging medicinal applications of the C-N axial chirality, synthetic routes to build up such compounds are cruelly missing.
Medical Diagnostic by Artificial Intelligence applied to LIBS Elemental Microscopy – dIAg-EM
The overall goal of the DIAg-EM project is to use laser-induced breakdown spectroscopy (LIBS) elemental-microscopy with artificial intelligence processing to identify, localize and quantify pathogen elements present in selected human lung biopsies. We are proposing to develop a deep learning method able to perform, in real time, a non-supervised elemental identification, and to generate quantitative results over large areas of complex human specimens.
Zebrafish for exploring Exosome-like Nanovesicle THerapeutic potential – ZENiTh
therapeutic vectors. IN this model we will compare the features and functions of EVs of zebrafish and murin and [...] in vivo. On this groundwork, we will assess the features and potency of functionalized EVs to stengthen
Characterization of new beta-amino acid-containing secondary métabolites in bacteria – BetaAAmetabolites
Recently, a considerable number of secondary metabolites containing non-proteinogenic amino acids have been described in bacteria. Studies of their biosynthetic gene clusters in pathogenic bacteria have led to the description of a new family of autonomous adenylation domains involved in the incorporation of ß-amino acids into these secondary metabolites that a genetic approach has shown to be involved in bacterial virulence.