AI in the development of vaccines for emerging and re-emerging diseases
Salud Ciencia y Tecnología,
Год журнала:
2025,
Номер
4
Опубликована: Янв. 15, 2025
Introduction:
The
integration
of
artificial
intelligence
(AI)
into
vaccine
development
has
revolutionized
traditional
methodologies,
significantly
enhancing
the
speed,
precision,
and
scalability
immunological
research.
Emerging
re-emerging
infectious
diseases,
driven
by
zoonotic
spillovers,
antimicrobial
resistance,
global
environmental
changes,
pose
substantial
challenges.
Addressing
these
requires
innovative
approaches,
with
AI
playing
a
pivotal
role
in
advancing
solutions.Development:
applications
vaccinology
include
antigen
detection,
adjuvant
optimization,
immune
response
simulation.
Deep
learning
algorithms
streamline
identification
immunogenic
targets
conserved
antigens,
enabling
for
highly
mutable
pathogens
such
as
SARS-CoV-2,
HIV,
influenza.
Case
studies
demonstrate
AI's
transformative
impact,
including
its
rapid
creation
mRNA
vaccines
COVID-19,
promising
antigens
malaria,
enhanced
efficacy
influenza
through
predictive
modeling.
However,
challenges
unequal
access
to
technology,
biases
data
models,
ethical
concerns
regarding
genomic
privacy
persist.
Recommendations
address
barriers
increasing
diversity,
strengthening
frameworks,
investing
infrastructure
democratize
AI-driven
innovations.Conclusions:
ability
reduce
time
cost,
improve
enable
personalized
immunization
strategies
positions
it
cornerstone
modern
vaccinology.
With
continued
advancements
equitable
implementation,
holds
potential
reshape
development,
pandemic
preparedness,
longstanding
public
health
disparities
globally.
Язык: Английский
Post-COVID-19 Vaccine Supply Chain
Advances in logistics, operations, and management science book series,
Год журнала:
2024,
Номер
unknown, С. 253 - 282
Опубликована: Сен. 20, 2024
The
COVID-19
pandemic,
started
in
late
2019,
rapidly
expanded
into
a
global
crisis,
showing
the
critical
importance
of
an
effective
vaccine
supply
chain.
This
unique
situation
prompted
governments,
pharmaceutical
companies,
and
research
institutions
to
came
together
for
historic
effort,
leading
development
approval
vaccines
within
year.
pandemic
highlighted
issues
traditional
chains,
particularly
ensuring
efficient
equitable
distribution
across
developed
developing
countries.
It
also
areas
vulnerability
chain
structures
globally
including
storage,
transport
production
structures.
As
result,
crisis
boosted
use
modern
digital
technologies
such
as
AI
Blockchain,
which
were
instrumental
predicting
demand
maintaining
security
records.
Ahead,
innovations
metaverse,
augmented
reality,
twins
provide
prospect
redefining
even
further
vaccines,
collaboration,
learning,
management.
Язык: Английский