Giovanna Nicora

About Giovanna Nicora

Giovanna Nicora, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Università degli Studi di Pavia, specializes in the field of Bioinformatics, Machine Learning, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Critical assessment of variant prioritization methods for rare disease diagnosis within the Rare Genomes Project

An AI-based approach driven by genotypes and phenotypes to uplift the diagnostic yield of genetic diseases

Bayesian networks in the management of hospital admissions: a comparison between explainable AI and black box AI during the pandemics.

Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis

METHOD FOR DETERMINING THE PATHOGENICITY/BENIGNITY OF A GENOMIC VARIANT IN CONNECTION WITH A GIVEN DISEASE

Critical assessment of genome interpretation consortium. CAGI, the critical assessment of genome interpretation, establishes progress and pprospects for computational genetic …

CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods

P-219 Single-follicle spatial proteomics of the whole ovary by MALDI mass spectrometry imaging: towards the identification of protein-markers of the follicle's quality

Giovanna Nicora Information

University

Position

Postdoctoral researcher

Citations(all)

352

Citations(since 2020)

352

Cited By

35

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Giovanna Nicora Skills & Research Interests

Bioinformatics

Machine Learning

Artificial Intelligence

Top articles of Giovanna Nicora

An AI-based approach driven by genotypes and phenotypes to uplift the diagnostic yield of genetic diseases

Human Genetics

2024/3/23

Bayesian networks in the management of hospital admissions: a comparison between explainable AI and black box AI during the pandemics.

2024/3/11

Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis

arXiv preprint arXiv:2402.17554

2024/2/27

METHOD FOR DETERMINING THE PATHOGENICITY/BENIGNITY OF A GENOMIC VARIANT IN CONNECTION WITH A GIVEN DISEASE

2024/1/25

P-219 Single-follicle spatial proteomics of the whole ovary by MALDI mass spectrometry imaging: towards the identification of protein-markers of the follicle's quality

2023/6/1

MALDI mass spectrometry imaging shows a gradual change in the proteome landscape during mouse ovarian folliculogenesis

Molecular Human Reproduction

2023/4

A synthetic dataset of liver disorder patients

Data in Brief

2023/4/1

Giovanna Nicora
Giovanna Nicora

H-Index: 2

Enea Parimbelli
Enea Parimbelli

H-Index: 9

Digenic variant interpretation with hypothesis-driven explainable AI

bioRxiv

2023

A machine learning approach for the detection of incidental findings in genetic testing

2023

Predicting and Explaining Risk of Disease Worsening Using Temporal Features in Multiple Sclerosis

CEUR WORKSHOP PROCEEDINGS

2023

Why did AI get this one wrong?—Tree-based explanations of machine learning model predictions

Artificial Intelligence in Medicine

2023/1/1

Performance of an AI algorithm during the different phases of the COVID pandemics: what can we learn from the AI and vice versa.

European Journal of Radiology Open

2023/12/1

Forecasting dominance of SARS-CoV-2 lineages by anomaly detection using deep AutoEncoders

bioRxiv

2023/10/24

Predicting Medical Outcomes

2022/11/10

Riccardo Bellazzi
Riccardo Bellazzi

H-Index: 35

Giovanna Nicora
Giovanna Nicora

H-Index: 2

Evaluating pointwise reliability of machine learning prediction

Journal of Biomedical Informatics

2022/3/1

A machine learning approach based on ACMG/AMP guidelines for genomic variant classification and prioritization

Scientific reports

2022/2/15

eVai's Suggested Diagnosis feature: a new AI-based method to increase diagnostic yield in Rare Disease Patients

2022

See List of Professors in Giovanna Nicora University(Università degli Studi di Pavia)

Co-Authors

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