Please wait while the transcript is being prepared...
0:00
This overview addresses
biomarkers in
drug development with
particular emphasis
on the definition and
importance of biomarkers,
including their
types, diagnostic,
prognostic and predictive, and
their roles in clinical
decision making
and personalized medicine.
We will discuss key examples
from clinical practice
and drug development,
explaining how biomarkers
aid diagnosis,
patient selection,
and drug approval.
Next, we will review analytical
methods for measuring
biomarkers and the importance of
quality control and
standardization.
Ally, we will explore
how advances in
technology are expanding
biomarker applications,
driving precision medicine, and
enabling individualized
patient care.
Biomarkers or biological
indicators are
measurable characteristics
that provide information
about biological processes
or responses to therapy.
They include molecules
such as proteins,
DNA or metabolites, cells,
and imaging findings and
are objectively assessed
to evaluate physiological
states or treatment responses.
Biomarkers are crucial in
clinical biochemistry,
translational medicine,
and drug development.
Types include diagnostic,
prognostic and
predictive biomarkers,
each supporting clinical
decision making
and advancing
personalized therapies.
In clinical practice
and drug development,
biomarkers play crucial roles.
Diagnostic biomarkers confirm
diseases like troponin for
myocardial infarction or
CA 125 for ovarian cancer.
Prognostic biomarkers, such
as certain genetic mutations,
