Expertise in
5
conditions

Andres M. Villa

Sección De Neuroinmunología. División Neurología. Hospital Gral. De Agudos Dr. José María Ramos Mejía, 
Argentina, G, AR 
Expertise in
5
conditions
Sección De Neuroinmunología. División Neurología. Hospital Gral. De Agudos Dr. José María Ramos Mejía, 
Argentina, G, AR 
OverviewLocationsClinical Research

Overview

Andres Villa practices in Argentina, Argentina. Mr. Villa is highly rated in 5 conditions, according to our data. His top areas of expertise are Neuromyelitis Optica, Transverse Myelitis, Optic Neuritis, Myasthenia Gravis, and Thymectomy.

His clinical research consists of co-authoring 46 peer reviewed articles and participating in 1 clinical trial. MediFind looks at clinical research from the past 15 years.

Gender
Male

Locations

Sección De Neuroinmunología. División Neurología. Hospital Gral. De Agudos Dr. José María Ramos Mejía, Argentina, G, Argentina
Other Locations
Ramos Mejia, B, Argentina
Buenos Aires, C, Argentina
B, Argentina

Clinical Research

Clinical research consists of overseeing clinical studies of patients undergoing new treatments and therapies, and publishing articles in peer reviewed medical journals. Experts who actively participate in clinical research are generally at the forefront of the fields and aware of the most up-to-date advances in treatments for their patients.

1 Clinical Trials

A Multicenter, Prospective, Open-label, Non-controlled Clinical Trial to Assess the Efficacy and Safety of Immune Globulin (Human), 10% Caprylate/Chromatography Purified (IGIV-C) in Patients With Myasthenia Gravis Exacerbations
A Multicenter, Prospective, Open-label, Non-controlled Clinical Trial to Assess the Efficacy and Safety of Immune Globulin (Human), 10% Caprylate/Chromatography Purified (IGIV-C) in Patients With Myasthenia Gravis Exacerbations
Enrollment Status: Completed
Publish Date: April 24, 2020
Intervention Type: Biological
Study Phase: Phase 3

46 Total Publications

A data-driven approach to interfacial polymerization exploiting machine learning for predicting thin-film composite membrane formation.
A data-driven approach to interfacial polymerization exploiting machine learning for predicting thin-film composite membrane formation.
Journal: Materials horizons
Published: September 26, 2025

Areas of Expertise

MediFind evaluates expertise by pulling from factors such as number of articles a doctor has published in medical journals, participation in clinical trials, speaking at industry conferences, prescribing and referral patterns, and strength of connections with other experts in their field.

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