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About Biomedical Basics
Biomedical Basics are AI-generated explanations prepared with access to the complete collection, human-reviewed prior to publication. Short and simple, covering biomedical and life sciences fundamentals.
Topics Covered
- Drug development stages
- Candidate optimization
- Preclinical & clinical testing
- Regulatory approval
- Post-marketing surveillance
- Collaboration & risk management
- Precision medicine & AI
Talk Citation
(2026, August 31). End-to-end drug development workflow [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved August 31, 2026, from https://doi.org/10.69645/LUQY7987.Export Citation (RIS)
Publication History
- Published on August 31, 2026
Financial Disclosures
A selection of talks on Pharmaceutical Sciences
Transcript
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0:00
The topic of end to end drug
development workflow will
be explored through the stages
of end to end drug development,
from early discovery through
pre clinical and
clinical testing,
regulatory submission, and
post marketing surveillance.
We will examine how
candidate drugs
are identified, optimized,
and tested for
safety and efficacy,
as well as the major hurdles and
regulatory requirements
at each stage.
The lecture will also discuss
the importance of multi
disciplinary collaboration,
strategic risk management,
and emerging innovations such as
precision medicine and
artificial intelligence
in this complex process.
We will explore how a
potential medicine moves
from a lab concept to
routine clinical use.
Drug development is lengthy,
costly and high risk,
often taking over a decade
with high attrition
at each stage.
Each new medicine starts as
a research idea
for an unmet need,
but few reach the market,
requiring coordinated
scientific,
regulatory and
commercial efforts.
An understanding
of this pathway is
vital for life sciences
professionals.
The earliest phase,
drug discovery
identifies promising
biological targets,
often proteins or genes
linked to disease.
Researchers use approaches like
target based and
phenotypic screening,
as well as AI driven methods to
nominate and optimize
candidate molecules.
Lead molecules are iteratively
refined to improve efficacy
and drug like properties.
Pre clinical studies then focus
on safety and pharmacokinetics,