A5082608814- Skin Protection and Aging
- Psoriasis: Treatment and Pathogenesis
- Dermatology and Skin Diseases
- Spectroscopy and Chemometric Analyses
- Face and Expression Recognition
- Advanced Statistical Methods and Models
- Advanced MRI Techniques and Applications
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Sensory Analysis and Statistical Methods
- Medical Imaging Techniques and Applications
- Hepatocellular Carcinoma Treatment and Prognosis
- Sparse and Compressive Sensing Techniques
- Statistical Methods and Inference
- Gene Regulatory Network Analysis
- Fault Detection and Control Systems
- Photoacoustic and Ultrasonic Imaging
- Water Quality Monitoring and Analysis
- Advanced X-ray and CT Imaging
- Blind Source Separation Techniques
- Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection
- Advanced Neuroimaging Techniques and Applications
- Parkinson's Disease Mechanisms and Treatments
- Advanced Clustering Algorithms Research
Université Paris-Saclay
2017-2023
CentraleSupélec
2015-2023
Centre National de la Recherche Scientifique
2015-2023
Laboratoire des signaux et systèmes
2017-2023
Montreal Neurological Institute and Hospital
2022
McGill University
2022
Institut du Cerveau
2017-2021
Sorbonne Université
2005-2021
Inserm
2005-2021
Allen Institute for Brain Science
2021
Background The recently described "macrotrabecular-massive" (MTM) histologic subtype of hepatocellular carcinoma (HCC) (MTM-HCC) represents an aggressive form HCC and is associated with poor survival. Purpose To investigate whether preoperative MRI can help identify MTM-HCCs in patients HCC. Materials Methods This retrospective study included treated surgical resection between January 2008 February 2018 who underwent multiphase contrast material-enhanced MRI. Least absolute shrinkage...
Abstract Background Polycyclic aromatic hydrocarbons (PAHs) are of environmental and public health concerns contribute to adverse skin attributes such as premature aging pigmentary disorder. However, little information is available on the potential roles chronic urban PAH pollutant exposure cutaneous microbiota. Given microbiota have healthy undesirable phenotypes relationships between PAHs properties, we hypothesize that may be associated with changes in In this study, over two hundred...
Isolated rapid eye movement sleep behaviour disorder (iRBD) is a characterized by the loss of muscle atonia and appearance abnormal movements vocalizations during sleep. It strong marker incipient synucleinopathy such as dementia with Lewy bodies Parkinson's disease. Patients iRBD already show brain changes that are reminiscent manifest synucleinopathies including atrophy. However, mechanisms underlying development this atrophy remain poorly understood. In study, we performed cutting-edge...
The growing number of modalities (e.g. multi-omics, imaging and clinical data) characterizing a given disease provides physicians statisticians with complementary facets reflecting the process but emphasizes need for novel statistical methods data analysis able to unify these views. Such sets are indeed intrinsically structured in blocks, where each block represents set variables observed on group individuals. Therefore, classical tools cannot be applied without altering their organization,...
One of the biggest challenge in Alzheimer's disease (AD) is to identify pathways and markers prediction easily accessible, for prevention treatment. Here we analysed blood samples from INveStIGation AlzHeimer's predicTors (INSIGHT-preAD) cohort elderly asymptomatic individuals with without brain amyloid load. We performed RNAseq, plasma metabolomics lipidomics using liquid chromatography-mass spectrometry on 48 positive negative (SUVr cut-off 0·7918). The three data sets were separately...
Abstract Isolated REM sleep behaviour disorder (iRBD) is a synucleinopathy characterized by abnormal behaviours and vocalizations during sleep. Most iRBD patients develop dementia with Lewy bodies, Parkinson’s disease or multiple system atrophy over time. Patients exhibit brain patterns that are reminiscent of those observed in overt synucleinopathies. However, the mechanisms linking to underlying alpha-synuclein pathophysiology poorly understood. Our objective was investigate how prion-like...
Abstract Environmental pollution is composed of several factors, namely particulate matter (PM 2.5 , PM 10 ), ozone and Ultra Violet (UV) rays among others first the most exposed tissue to these substances skin epidermis. It has been established that disorders such as eczema, acne, lentigines wrinkles are aggravated by exposure atmospheric pollution. While pollutants can interact with surface, contamination deep ultrafine particles or Polycyclic aromatic hydrocarbons (PAH) might be explained...
Background: Early-life environmental exposures are suspected to modify important immune processes related child health. Yet, no study has investigated immunotoxicity in relation the exposome and multiple health domains simultaneously. Methods: Among 845 children (median age 8) from six European birth cohorts included Human Early-Life Exposome (HELIX) project, we identified signatures of a score covering cardiometabolic, respiratory/allergic neurodevelopmental children. Those were blood...
ID2 is a member of subclass transcription regulators belonging to the general bHLH (basic-helix-loop-helix) family factors. In normal cells, responsible for regulating balance between proliferation and differentiation. More recent studies have demonstrated that involved in tumor progression several cancer types such as prostate or breast.In this work, we investigated, first time, relationship expression non-small cell lung (NSCLC) patients clinicopathological features prognosis these...
Abstract Background Individual functional modifications shape the ability of wildlife populations to cope with anthropogenic environmental changes. But instead adaptive response, human-altered environments can generate a succession deleterious changes leading extinction population. To study how persistent impacted local species’ population status, we characterised structure, genetic diversity and individual response gene expression in tree frog Hyla orientalis along gradient radioactive...
We propose a new sparsification method for the singular value decomposition—called constrained decomposition (CSVD)—that can incorporate multiple constraints such as and orthogonality left right vectors. The CSVD combine different because it implements each constraint projection onto convex set, integrates these projections intersection of sets. show that, with appropriate constants, algorithm is guaranteed to converge stable point. also analyze convergence an efficient specific case balls...
Regularized generalized canonical correlation analysis (RGCCA) is a general multiblock data framework that encompasses several important multivariate methods such as principal component analysis, partial least squares regression, and versions of analysis. In this article, we extend RGCCA to the case where at one block has tensor structure. This method called multiway (MGCCA). Convergence properties MGCCA algorithm are studied, computation higher-level components discussed. The usefulness...