Veronica Tozzo
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View article: Assessing the feasibility of large-scale digital sensing for depression and anxiety: The Digital Mental Health Study
Assessing the feasibility of large-scale digital sensing for depression and anxiety: The Digital Mental Health Study Open
Data passively obtained from smartphones and wearables can provide nearly continuous objective information that enables quantification of states and traits across broad physiological, behavioral, and emotional domains impacted in mental he…
View article: Diverse Genomes, Shared Health: Insights from a Health System Biobank
Diverse Genomes, Shared Health: Insights from a Health System Biobank Open
Coupling genetic profiling with electronic health records from hospital biobanks is a foundational resource for precision medicine. However, lack of ancestral heterogeneity limits discovery and generalizability. We leveraged the UCLA ATLAS…
View article: Association between plausible genetic factors and weight loss from GLP1-RA and bariatric surgery
Association between plausible genetic factors and weight loss from GLP1-RA and bariatric surgery Open
Obesity is a major public health challenge. Glucagon-like peptide-1 receptor agonists (GLP1-RA) and bariatric surgery (BS) are effective weight loss interventions; however, the genetic factors influencing treatment response remain largely …
View article: Inclusion bias affects common variant discovery and replication in a health-system linked biobank
Inclusion bias affects common variant discovery and replication in a health-system linked biobank Open
Electronic Health Records (EHR)-linked biobanks have emerged as promising tools for precision medicine, enabling the integration of clinical and molecular data for individual risk assessment. Association studies performed in biobank studie…
View article: Hematologic dynamics during pregnancy and their association with obstetric complications: a retrospective cohort study
Hematologic dynamics during pregnancy and their association with obstetric complications: a retrospective cohort study Open
Objectives Pregnancy alters hematologic state as measured by complete blood counts (CBC), but the longitudinal changes in CBC indices that define healthy pregnancies are not well established. Our objectives were (1) to define gestational a…
View article: Association between plausible genetic factors and weight loss from GLP1-RA and bariatric surgery: a multi-ancestry study in 10 960 individuals from 9 biobanks
Association between plausible genetic factors and weight loss from GLP1-RA and bariatric surgery: a multi-ancestry study in 10 960 individuals from 9 biobanks Open
Obesity is a significant public health concern. GLP-1 receptor agonists (GLP1-RA), predominantly in use as a type 2 diabetes treatment, are a promising pharmacological approach for weight loss, while bariatric surgery (BS) remains a durabl…
View article: Estimating Glycemia From HbA1c and CGM: Analysis of Accuracy and Sources of Discrepancy
Estimating Glycemia From HbA1c and CGM: Analysis of Accuracy and Sources of Discrepancy Open
OBJECTIVE To examine the accuracy of different periods of continuous glucose monitoring (CGM), hemoglobin A1c (HbA1c), and their combination for estimating mean glycemia over 90 days (AG90). RESEARCH DESIGN AND METHODS We retrospectively s…
View article: Estimating Glycemia from HbA1c and CGM: Analysis of Accuracy and Sources of Discrepancy
Estimating Glycemia from HbA1c and CGM: Analysis of Accuracy and Sources of Discrepancy Open
Objective. To examine the accuracy of different periods of continuous glucose monitoring (CGM), hemoglobin A1c (HbA1c), and their combination for estimating mean glycemia over 90 days (AG90).Research Design and Methods. We retrospectively …
View article: Estimating Glycemia from HbA1c and CGM: Analysis of Accuracy and Sources of Discrepancy
Estimating Glycemia from HbA1c and CGM: Analysis of Accuracy and Sources of Discrepancy Open
Objective. To examine the accuracy of different periods of continuous glucose monitoring (CGM), hemoglobin A1c (HbA1c), and their combination for estimating mean glycemia over 90 days (AG90).Research Design and Methods. We retrospectively …
View article: Hematologic setpoints are a stable and patient-specific deep phenotype
Hematologic setpoints are a stable and patient-specific deep phenotype Open
The complete blood count is an important screening tool for healthy adults and is the most commonly ordered test at periodic physical exams. However, results are usually interpreted relative to one-size-fits-all reference intervals, underm…
View article: Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets.
Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets. Open
Permutation invariant neural networks are a promising tool for making predictions from sets. However, we show that existing permutation invariant architectures, Deep Sets and Set Transformer, can suffer from vanishing or exploding gradient…
View article: Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets
Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets Open
Permutation invariant neural networks are a promising tool for making predictions from sets. However, we show that existing permutation invariant architectures, Deep Sets and Set Transformer, can suffer from vanishing or exploding gradient…
View article: Where Do We Stand in Regularization for Life Science Studies?
Where Do We Stand in Regularization for Life Science Studies? Open
More and more biologists and bioinformaticians turn to machine learning to analyze large amounts of data. In this context, it is crucial to understand which is the most suitable data analysis pipeline for achieving reliable results. This p…
View article: Time Adaptive Gaussian Model
Time Adaptive Gaussian Model Open
Multivariate time series analysis is becoming an integral part of data analysis pipelines. Understanding the individual time point connections between covariates as well as how these connections change in time is non-trivial. To this aim, …
View article: Secondary Somatic Mutations in G-Protein-Related Pathways and Mutation Signatures in Uveal Melanoma
Secondary Somatic Mutations in G-Protein-Related Pathways and Mutation Signatures in Uveal Melanoma Open
Background: Uveal melanoma (UM), a rare cancer of the eye, is characterized by initiating mutations in the genes G-protein subunit alpha Q (GNAQ), G-protein subunit alpha 11 (GNA11), cysteinyl leukotriene receptor 2 (CYSLTR2), and phosphol…
View article: Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy
Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy Open
The localization of epileptic zone in pharmacoresistant focal epileptic patients is a daunting task, typically performed by medical experts through visual inspection over highly sampled neural recordings. For a finer localization of the ep…
View article: Group induced graphical lasso allows for discovery of molecular pathways-pathways interactions
Group induced graphical lasso allows for discovery of molecular pathways-pathways interactions Open
Complex systems may contain heterogeneous types of variables that interact in a multi-level and multi-scale manner. In this context, high-level layers may considered as groups of variables interacting in lower-level layers. This is particu…
View article: A 3-fold kernel approach for characterizing Late Onset Alzheimer’s Disease
A 3-fold kernel approach for characterizing Late Onset Alzheimer’s Disease Open
Summary The purpose of this study is to identify a global and robust signature characterizing Alzheimer’s Disease (AD). Two public GWAS datasets were analyzed considering a 3-fold kernel approach, based on SNPs, Genes and Pathways analysis…
View article: Hey there's DALILA: a DictionAry LearnIng LibrAry
Hey there's DALILA: a DictionAry LearnIng LibrAry Open
Dictionary Learning and Representation Learning are machine learning methods for decomposition, denoising and reconstruction of data with a wide range of applications such as text recognition, image processing and biological processes unde…