Privacy-Preserving Computation of Disease Risk by Using Genomic, Clinical, and Environmental Data

Publications associées (29)

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Inborn errors of type I interferon immunity in patients with symptomatic acute hepatitis E

Jacques Fellay

Background and Aims:The clinical spectrum of human infection by HEV ranges from asymptomatic to severe acute hepatitis. Furthermore, HEV can cause diverse neurological manifestations, especially Parsonage-Turner syndrome. Here, we used a large-scale human ...

Lippincott Williams & Wilkins2023

Optimised set of oligonucleotides for bulk rna barcoding and sequencing

Bart Deplancke, Vincent Roland Julien Gardeux, Riccardo Dainese, Daniel Alpern

The present invention relates generally to the field of nucleic acid sequencing and provides oligonucleotide molecules and barcodes contained therein. These oligonucleotide molecules and barcodes molecules are useful in sequencing to identify and resolve e ...

2023

Arbitrary Decisions are a Hidden Cost of Differentially Private Training

Carmela González Troncoso, Bogdan Kulynych

Mechanisms used in privacy-preserving machine learning often aim to guarantee differential privacy (DP) during model training. Practical DP-ensuring training methods use randomization when fitting model parameters to privacy-sensitive data (e.g., adding Ga ...

Assoc Computing Machinery2023

Systematic benchmarking of single-cell ATAC-sequencing protocols

Bart Deplancke, Jörn Pezoldt, Camille Lucie Germaine Lambert

Benchmarking of scATAC-seq protocols demonstrates the effects of data quality on downstream analyses. ...

NATURE PORTFOLIO2023

Bridging the gap between theoretical and practical privacy technologies for at-risk populations

Kasra Edalatnejadkhamene

With the pervasive digitalization of modern life, we benefit from efficient access to information and services. Yet, this digitalization poses severe privacy challenges, especially for special-needs individuals. Beyond being a fundamental human right, priv ...

EPFL2023

Bayes Security: A Not So Average Metric

Carmela González Troncoso, Giovanni Cherubin

Security system designers favor worst-case security metrics, such as those derived from differential privacy (DP), due to the strong guarantees they provide. On the downside, these guarantees result in a high penalty on the system's performance. In this pa ...

IEEE2023

Predicting type 2 diabetes risk before and after solid organ transplantation using polygenic scores in a Danish cohort

Jacques Fellay, Christian Axel Wandall Thorball

Type 2 diabetes mellitus (T2DM) can be multifactorial where both genetics and environmental factors play a role. We aimed to investigate the use of polygenic risk scores (PRS) in the prediction of pre-transplant T2DM and post-transplant diabetes mellitus ( ...

Frontiers Media Sa2023

Multiomic analysis of HER2-enriched and AR-positive breast carcinoma with apocrine differentiation and an oligometastatic course: a case report

Andrea Cavalli

Breast carcinoma is the most prevalent cancer among women globally. It has variable clinical courses depending on the stage and clinical-biological features. This case report describes a 56-year-old female with invasive breast cancer without estrogen or pr ...

FRONTIERS MEDIA SA2023

Can one hear the shape of a target zone?

Max-Olivier Hongler

We develop an exchange rate target zone model with finite exit time and non-Gaussian tails. We show how the tails are a consequence of time-varying investor risk aversion, which generates mean-preserving spreads in the fundamental distribution. We solve ex ...

2023

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NATURE PORTFOLIO2023

Multiomic analysis of HER2-enriched and AR-positive breast carcinoma with apocrine differentiation and an oligometastatic course: a case report

Andrea Cavalli

FRONTIERS MEDIA SA2023

Can one hear the shape of a target zone?

Max-Olivier Hongler

2023