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Mass Spectrometry 2019

March 04-05, 2019

Berlin, Germany

Mass Spectrometry

9

th

Edition of International Conference on

International Journal of Drug Development and Research

ISSN: 0975-9344

Page 16

Mass spectrometry: Clinical artificial

intelligence application

Mahmoud Abdel Wahed Rafea

Zrythra, USA

Background:

Erythrocytes Dynamic Antigens Store

(EDAS) is a new discovery. EDAS consists of self-

antigens and foreign (non-self) antigens. In patients

with infectious diseases or malignancies, antigens of

infection microorganism or malignant tumor exist in

EDAS.

Objective:

Storing EDAS of normal individuals and

patients in a database has, at least, two benefits.

First, EDAS can be mined to determine biomarkers

representing diseases which can enable researchers

to develop a new line of laboratory diagnostic tests and

vaccines. Second, EDAScanbe querieddirectly, to reach

a precise diagnosis without need to do many laboratory

tests. The target is to find the minimum set of proteins

that can be used as biomarkers for a particular disease.

Methods:

A hypothetical EDAS is created. Hundred-

thousand records are randomly generated. The

mathematical model of hypothetical EDAS together

with the proposed techniques for biomarker discovery

and direct diagnosis are described. Experiments by

generating case possibilities are conducted.

Results:

Biomarkers proteins are identified for

pathogens and malignancies, which can be used to

diagnose conditions that are difficult to diagnose.

Conclusions:

The presented tool can be used in clinical

laboratories to diagnose disease disorders.

Biography

Mahmoud Abdel Wahed Rafea completed his Graduation

from the Faculty of Medicine at Cairo University in 1975. He

completed his MSc in Clinical Pathology and Chemistry in

1980. He started studying computer science while working

as a clinical pathologist in 1984. He joined ARC (Agriculture

Research Center) in 1992. He got his PhD in Artificial Intel-

ligence from Cairo University. He worked as a Senior Re-

searcher in SICS (Swedish Institute of Computer Science)

from 2000-2002. He was promoted by ARC as a Full Profes-

sor in Computer Science, 2006. In 2009 and 2010 he worked

as a visiting Professor in Karolinska, Sweden. He discovered

that erythrocytes have a dynamic antigens store. In 2015,

he established the Erythrocytes Research Unit (ERU) under

ARC. He incorporated Erythra Corporation in 2018.

mahmoudrafea@erythra.com

Mahmoud Abdel Wahed Rafea, Int J Drug Dev & Res 2019, Volume 11

DOI: 10.21767/0975-9344-C1-004