Abdolreza Mosaddegh

Assistant Professor

Northeastern University

United States

Research Interests

Explore related searches

Professors in United States Professors in Microbiology Microbiology professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Abdolreza Mosaddegh is an Assistant Professor at Northeastern University in the United States. His research focuses on antimicrobial resistance, machine learning approaches in healthcare, and the application of artificial intelligence in medical diagnostics. Recent articles include work on the standardization of multidrug resistance definitions and the use of random forest methods for imputing antimicrobial minimum inhibitory concentrations.

Articles (10)

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Collaborators (8)

Mei Lin Law

King's College London

UNITED KINGDOM

View details

MARILENA MINIERI

Assistant Professor

Università degli Studi di Roma La Sapienza

ITALY

View details

Rolando Herrero

Northeastern University

UNITED STATES

View details

Mathilde Mastroianni

King’s College London

UNITED KINGDOM

View details

Sara Paiva

Assistant Professor

Instituto Politécnico de Leiria

PORTUGAL

View details

Casey Cazer

Assistant Professor

Cornell University

UNITED STATES

View details

Paramala Santosh

King’s College London

UNITED KINGDOM

View details

Salah Basheer

Clinical Assistant Professor

University of Nottingham

UNITED KINGDOM

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Abdolreza Mosaddegh

Research Interests

Explore related searches

Contact this professor

About

Articles (10)

A tale of two labs: Comparing antimicrobial resistance data in pets across commercial and academic diagnostic laboratories

Standardizing multidrug resistance definitions and visualizations to support surveillance across One Health

Antimicrobial minimum inhibitory concentrations can be imputed from phenotypic data using a random forest approach

An exploration of descriptive machine learning approaches for antimicrobial resistance: Multidrug resistance patterns in Salmonella enterica

Integrated AI Medical Emergency Diagnostics Advising System

Equine synovial sepsis laboratory submissions yield a low rate of positive bacterial culture and a high prevalence of antimicrobial resistance

Trends of feline Escherichia coli minimum inhibitory concentrations over 14 years illustrate the need for judicious antimicrobial use in cats

Development and Psychometric Properties of the Multi-System Profile of Symptoms Scale in Patients with Rett Syndrome

A Hybrid Framework for Visual Positioning: Combining Convolutional Neural Networks with Ontologies

Dynamics of customer segments: A predictor of customer lifetime value

Collaborators (8)

Mei Lin Law

MARILENA MINIERI

Rolando Herrero

Mathilde Mastroianni

Sara Paiva

Casey Cazer

Paramala Santosh

Salah Basheer

Make your next move.