Georg Gerber

Georg Gerber

Harvard University

H-index: 33

North America-United States

About Georg Gerber

Georg Gerber, With an exceptional h-index of 33 and a recent h-index of 27 (since 2020), a distinguished researcher at Harvard University, specializes in the field of microbiome, metagenomics, machine learning, Bayesian statistics, time-series analysis.

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

Towards a general-purpose foundation model for computational pathology

A visual-language foundation model for computational pathology

A Spatial Multi-Modal Dissection of Host-Microbiome Interactions within the Colitis Tissue Microenvironment

A Foundational Multimodal Vision Language AI Assistant for Human Pathology

A general-purpose self-supervised model for computational pathology

Defined therapeutic microbiota and methods of use thereof

Certain gut metabolites can predict recurrent Clostridioides difficile infection

Strain Tracking with Uncertainty Quantification

Georg Gerber Information

University

Position

Assistant Professor of Pathology, Harvard Medical School

Citations(all)

11444

Citations(since 2020)

4666

Cited By

8706

hIndex(all)

33

hIndex(since 2020)

27

i10Index(all)

41

i10Index(since 2020)

39

Email

University Profile Page

Google Scholar

Georg Gerber Skills & Research Interests

microbiome

metagenomics

machine learning

Bayesian statistics

time-series analysis

Top articles of Georg Gerber

Towards a general-purpose foundation model for computational pathology

Nature Medicine

2024/3/19

A visual-language foundation model for computational pathology

Nature Medicine

2024/3

A Spatial Multi-Modal Dissection of Host-Microbiome Interactions within the Colitis Tissue Microenvironment

bioRxiv

2024

A Foundational Multimodal Vision Language AI Assistant for Human Pathology

arXiv preprint arXiv:2312.07814

2023/12/13

A general-purpose self-supervised model for computational pathology

arXiv preprint arXiv:2308.15474

2023/8/29

Defined therapeutic microbiota and methods of use thereof

2023/6/6

Certain gut metabolites can predict recurrent Clostridioides difficile infection

2023/3/2

Strain Tracking with Uncertainty Quantification

bioRxiv

2023/1/26

MDITRE: scalable and interpretable machine learning for predicting host status from temporal microbiome dynamics

Msystems

2022/10/26

Therapeutic microbiota for the treatment and/or prevention of dysbiosis

2022/6/23

Gut metabolites predict Clostridioides difficile recurrence

Microbiome

2022/6/9

In vivo commensal control of Clostridioides difficile virulence

Cell Host & Microbe

2021/11/10

Fr573 ASSOCIATION BETWEEN NOVEL METABOLOMIC BIOMARKERS AND C. DIFFICILE RECURRENCE

Gastroenterology

2021/5/1

Kevin Kennedy
Kevin Kennedy

H-Index: 26

Georg Gerber
Georg Gerber

H-Index: 24

Fr571 A DISTINCTIVE SIGNATURE OF FECAL BILE ACIDS AND OTHER NOVEL METABOLITES ACCOMPANYING RECURRENCE AFTER PRIMARY CLOSTRIDIOIDES DIFFICILE INFECTION

Gastroenterology

2021/5/1

Georg Gerber
Georg Gerber

H-Index: 24

Intrinsic instability of the dysbiotic microbiome revealed through dynamical systems inference at scale

bioRxiv

2021/1/1

High-resolution temporal profiling of the human gut microbiome reveals consistent and cascading alterations in response to dietary glycans

Genome Medicine

2020/12

Scalable learning of interpretable rules for the dynamic microbiome domain [preprint]

bioRxiv

2020/1/1

Clinical Predictors of Recurrence After Primary Clostridioides difficile Infection: A Prospective Cohort Study

Digestive diseases and sciences

2020/6

See List of Professors in Georg Gerber University(Harvard University)