Genomic data holds huge potential for medical progress but requires strict safety measures
due to its sensitive nature to comply with data protection laws. This conflict is especially …

High-throughput sequencing allowed the discovery of many disease variants, but nowadays
it is becoming clear that the abundance of genomics data mostly just moved the bottleneck …

Many of Jennifer Listgarten's arguments are compelling: in particular, that the protein folding
problem is an outlier relative to other grand challenges in science, both in terms of the …

Combining training data from multiple sources increases sample size and reduces
confounding, leading to more accurate and less biased machine learning models. In …

Complex diseases pose challenges in disease prediction due to their multifactorial and
polygenic nature. In this work, we explored the prediction of two complex diseases, multiple …

J'aimerais tout d'aborder remercier ma directrice de thèse, le Pr. Lydia Guittet, pour sa
confiance, sa patience, son investissement et son encadrement exemplaire. Je la remercie …

Data federation intermediated through trusted research environments can help accelerate
the adoption and utilization of newborn genome screening worldwide. Data federation will …