I have finalised the demo for the ICH-GCP E6 R3 refresher course. Overall, I liked the content and the interface. I also want to thank Whitehall Train...
About
Clinical drug development is a structured process in which evidence on safety, tolerability, efficacy, and benefit-risk is generated progressively across different stages of clinical research. Each phase has distinct objectives, study designs, populations, and decision points that contribute to determining whether a medicine can progress toward regulatory approval and continued evaluation after marketing.
This Pharmaceutical Medicine – Clinical Phases of Drug Development Training Course & Certification provides comprehensive knowledge of preclinical development and the transition to first-in-human studies, Phase I, Phase II, Phase III, regulatory submission and approval, Phase IV post-marketing studies, development attrition, and go/no-go decisions across the clinical development lifecycle. Upon successful completion, learners receive a certification demonstrating their understanding of clinical development phases and the principles that guide pharmaceutical development and regulatory decision-making.
- Clinical Research and Clinical Operations Professionals
- Clinical Trial Managers and Clinical Research Associates
- Pharmaceutical Medicine and Medical Affairs Professionals
- Drug Development and Clinical Development Teams
- Regulatory Affairs and Compliance Professionals
- Biostatistics and Clinical Data Management Professionals
- Pharmacovigilance and Drug Safety Professionals
- Anyone seeking to understand the clinical phases, decision-making, and regulatory pathway of drug development
What you will learn
Understand the progression of drug development from preclinical research through clinical development, regulatory submission, approval, and post-marketing evaluation.
Learn the objectives, study designs, participants, endpoints, safety considerations, and regulatory expectations associated with Phase I, Phase II, Phase III, and Phase IV clinical development.
Develop knowledge of first-in-human studies, dose selection, proof-of-concept development, confirmatory trials, benefit-risk assessment, and the evidence required to support regulatory decisions.
Gain practical understanding of clinical development decision points, development attrition, go/no-go decisions, regulatory interactions, and the transition from clinical development to post-marketing surveillance.
Course Syllabus
- A. Drug discovery and lead optimisation
- What 'preclinical' means and where it sits
- The funnel: from thousands of compounds to one lead
- Drug discovery: choosing a target
- target -> hit -> lead -> candidate
- What lead optimisation tunes
- How compounds are screened, in plain terms
- veltarib is selected as the lead
- B. What the nonclinical package must show
- The three questions the package answers
- Three kinds of pharmacology
- Primary pharmacology: does it work?
- Secondary and safety pharmacology
- The safety pharmacology core battery
- PK/ADME in plain terms
- Half-life and why it matters
- veltarib's PK profile at a glance
- C. GLP toxicology and the NOAEL
- What GLP means
- Repeat-dose toxicology in two species
- Why two species are required
- Other toxicology studies
- What a toxicology study measures
- The NOAEL defined
- veltarib's NOAEL, illustratively
- D. From NOAEL to a safe human starting dose
- Why we cannot just use the animal dose
- Step 1 - NOAEL to Human Equivalent Dose
- Step 2 - apply a safety factor
- Step 3 - the Maximum Recommended Starting Dose
- The whole chain on one card
- What can change the safety factor
- E. The IND / CTA and ICH M3(R2)
- From package to permission to dose
- What an IND is
- What the IND contains
- The CTA in the EU and UK
- ICH M3(R2) sets the expectations
- The review and the clinical hold
- The go decision to enter humans
- F. Small molecules vs biologics - and where the science lives
- Two modalities, two packages
- Species selection for biologics
- Immunogenicity - a biologic concern
- MABEL instead of NOAEL
- Where the deep science lives
- G. Worked example - veltarib from screen to first human dose
- Worked example, part 1 - screen to IND-enabling package
- Worked example, part 2 - NOAEL to a first human dose
- Worked example, part 3 - the go decision
- Preclinical timeline at a glance
- Common preclinical pitfalls
- Scope and boundary note
- A. What Phase I is actually for
- The four jobs of a Phase I programme
- Phase I is NOT a test of efficacy
- Pharmacokinetics: what the body does to the drug
- Pharmacodynamics: what the drug does to the body
- Phase I at a glance
- Key PK measures in plain English
- The healthy-volunteer setting
- B. Who receives the first doses
- Why healthy volunteers are the default
- When patients are dosed first
- novaxamab: the biologic contrast
- Why risk drives the setting
- Consent, oversight and payment
- C. SAD and MAD dose-escalation designs
- Single Ascending Dose (SAD)
- Multiple Ascending Dose (MAD)
- SAD vs MAD — how they differ
- The cohort: about eight subjects
- Six active, two placebo
- Sentinel and staggered dosing
- Blinding and placebo control
- D. Escalation rules, DLT, MTD and 3+3
- Pre-defined escalation rules
- Pre-defined stopping rules
- Dose-limiting toxicity (DLT)
- Maximum tolerated dose (MTD)
- The 3+3 design (oncology), conceptually
- A simple escalation-step illustration
- Who decides to escalate?
- E. Other Phase I (clinical pharmacology) studies
- Food-effect studies
- Drug-drug interaction studies
- Bioavailability
- Special-population studies
- Why this all sits in Phase I
- F. First-in-human safeguards and hard lessons
- First-in-human is inherently uncertain
- TGN1412 (2006): what happened
- The lessons: sentinel and staggered dosing
- MABEL: a more cautious starting dose
- FDA and EMA first-in-human guidance
- G. veltarib's Phase I — and what it hands on
- Adaptive first-in-human designs
- Worked example — veltarib SAD escalation
- Worked example — veltarib MAD and the go decision
- What a Phase I package delivers
- The handover into Phase II
- Where trial design and statistics live
- Common Phase I misunderstandings
- A. What Phase II is for
- The one question Phase II answers
- Where Phase II sits in the journey
- Two halves: Phase IIa and Phase IIb
- What Phase II is NOT
- What Phase II must deliver into Phase III
- Where Phase II fits the four questions
- B. Moving into the target patients
- Why Phase II needs real patients
- veltarib's target population
- Inclusion and exclusion — conceptually
- What changes when you dose patients
- Consent and ethics in the patient setting
- C. Phase IIa — proof of concept
- What 'proof of concept' means
- veltarib's IIa question
- Typical IIa size and duration
- Reading a proof-of-concept signal
- When proof of concept fails
- D. Endpoints, control and blinding
- Choosing a Phase II endpoint
- Biomarkers and surrogate endpoints
- Why use a surrogate in Phase II
- The control group: placebo or active
- Randomisation — conceptually
- Blinding — conceptually
- Where the design science lives
- E. Phase IIb — dose-finding
- The IIb question: which dose?
- The dose-arm design
- The dose-response relationship
- veltarib's dose-response, illustrated
- Picking the Phase III dose
- Too little, too much: the dosing risks
- Worked example (1 of 2): veltarib Phase IIa proof of concept
- Worked example (2 of 2): veltarib IIb dose-finding -> the Phase III dose
- F. Size, duration & the graveyard
- Typical Phase II sizes and durations
- Phase II in the escalating scale
- Why Phase II is the graveyard
- Fail-fast: why the graveyard is good
- Attrition across the phases
- G. The go/no-go decision
- The go/no-go-to-Phase-III gate
- The go/no-go criteria
- Adaptive and seamless II/III designs
- Phase II in one picture
- Phase II — key takeaways
- A. What Phase III is for
- Confirm, don't explore
- The intended-use population
- Efficacy and safety, together
- Where Phase III sits in the journey
- The questions Phase III must answer
- B. What makes a trial 'pivotal'
- What 'pivotal' means
- Adequate and well-controlled
- Substantial evidence: the two-trial idea
- When one trial can be enough
- Randomisation and blinding
- Superiority and non-inferiority
- Bias — the enemy Phase III fights
- C. Scale, duration and the safety database
- How big and how long
- The safety database
- ICH E1 exposure expectations
- Why about a year of treatment?
- Building the pooled safety database
- D. Endpoints and comparators
- Primary vs key secondary endpoints
- Choosing the comparator
- Surrogate and clinical endpoints
- The endpoint hierarchy
- Pre-specification and the analysis plan
- E. Global development — multi-regional trials
- What a multi-regional trial is
- ICH E17 — keeping it consistent
- Regional regulatory acceptance
- Intrinsic and extrinsic regional factors
- Why global development is the norm
- F. Running the trial well
- Data Monitoring Committees
- Interim looks — handle with care
- Special populations and subgroups
- Adherence, retention and data quality
- Adjudicating key clinical events
- G. VELOCITY-1 & VELOCITY-2 — design intent
- VELOCITY-1 & VELOCITY-2 — the design intent
- Why TWO pivotal trials — and a CV programme
- What can still go wrong in Phase III
- Phase III success is not guaranteed
- The output that feeds the submission
- The cardiovascular-safety programme
- Reading the VELOCITY read-out
- From last patient to database lock
- H. Where the deeper science lives
- Downstream course map for Phase III
- Phase III in one picture
- Common misunderstandings
- A. From last patient to a marketing application
- Last-patient-last-visit is a milestone, not the finish
- What a marketing application actually asks
- One medicine, several regulators
- The submission-to-approval timeline at a glance
- Before you can file: the pre-conditions
- B. The US routes — NDA vs BLA
- The NDA — veltarib's route (21 CFR 314)
- The BLA — novaxamab's route (21 CFR 601)
- Why NDA versus BLA actually matters
- User fees fund a predictable review
- Filing versus refuse-to-file
- C. The EU route — the MAA and the centralised procedure
- The MAA and the four EU routes
- The centralised procedure to EMA and CHMP
- Who does the work — CHMP rapporteurs
- The EU 210-day clock and clock-stops
- The UK / MHRA route, briefly
- D. The dossier — CTD and eCTD (ICH M4)
- The CTD — one structure, five modules
- Module 1 — regional administrative
- Modules 2 and 3 — summaries and quality
- Modules 4 and 5 — nonclinical and clinical
- The eCTD — the electronic dossier
- E. Talking to the regulator before you file
- Meet early, meet often
- The pre-NDA / pre-BLA meeting
- EU scientific advice and protocol assistance
- Advisory committees
- F. The review process and timelines
- The FDA review clock and PDUFA goal dates
- Standard versus priority review
- Rolling review — starting before the dossier is complete
- The review is a team of disciplines
- The EMA clock — Day 120 and Day 180 questions
- From CHMP opinion to European Commission decision
- When the review finds a serious problem
- FDA and EMA reviews side by side
- G. Labelling, expedited pathways and approval
- The label — the US Prescribing Information
- The label — the EU SmPC
- Expedited pathways — the idea
- US expedited pathways
- EU expedited pathways
- Approval is not the last submission
- Approval — and the handover to Phase IV
- Where the deeper detail lives
- Worked example — same evidence, three routes
- Worked example — veltarib through the FDA clock to approval
- A. Approval is not the finish line
- What Phase IV actually is
- Why approval is not the finish line
- What the trials could not tell us
- The real world is bigger, longer and messier
- From launch to lifecycle surveillance
- Who does the Phase IV work
- B. Requirements, commitments and post-authorisation studies
- Two kinds of obligation
- US post-marketing requirements (PMRs)
- US post-marketing commitments (PMCs)
- Requirements versus commitments at a glance
- The EU view: post-authorisation measures
- PASS: post-authorisation safety studies
- PAES: post-authorisation efficacy studies
- C. Outcomes trials — the veltarib CVOT
- What an outcomes trial is
- Surrogate markers versus real outcomes
- Why diabetes drugs face a CV expectation
- Reading a CVOT result in plain English
- How the CVOT feeds back into the label
- D. Real-world evidence and real-world data
- Where real-world data comes from
- From data to evidence
- What real-world evidence is good for
- The limits: confounding and data quality
- Real-world evidence versus randomised trials
- RWE complements — it does not replace trials
- E. The pharmacovigilance link
- What pharmacovigilance is and why it matters
- Spontaneous reports and ICSRs
- Who reports, and the company's duty
- Signal detection: spotting a new risk
- The pharmacovigilance loop
- The PSUR / PBRER periodic report
- Managing risk: RMP (EU) versus REMS (US)
- Benefit-risk over the whole lifecycle
- F. Lifecycle management
- What lifecycle management means
- Label expansions and new indications
- New formulations and new dosing
- New populations, including children
- Paediatric investigation plans
- End of lifecycle: generics and biosimilars
- G. Worked example — veltarib after launch
- veltarib’s post-marketing journey, step by step
- What the worked example teaches
- A. Development is mostly failure — by design
- The uncomfortable truth about the pipeline
- What 'attrition' actually means
- Attrition is designed in, not an accident
- Where compounds are lost
- The cost of getting the decision wrong
- B. The attrition funnel & odds by phase
- The funnel across the phases
- Likelihood of approval by phase
- Phase II — the biggest single drop
- The overall odds from Phase I
- Reading the declining survival curve
- A word on the figures
- C. Why drugs fail
- Four families of failure
- Efficacy — the number one killer
- Safety failures
- PK, commercial and strategic failure
- The reasons shift phase by phase
- D. Go/No-Go decision gates
- What a go/no-go gate is
- The gates across the pathway
- Criteria at each gate
- The go/no-go decision, as simple logic
- The target product profile — the yardstick
- veltarib's target product profile
- Who sits on a go/no-go board
- E. Portfolio thinking & fail-fast economics
- Kill early, fail fast
- The economics of late failure
- The sunk-cost trap
- Managing a portfolio, not one drug
- How a go/no-go board actually decides
- Worked example — veltarib's end-of-Phase-II board
- F. The downstream-course map
- This course is the spine, not the whole skeleton
- The course map
- The map as a hub
- Preclinical science -> Pharmacology & Toxicology
- Trial structure -> Clinical Trial Design
- Endpoints -> Endpoints in Clinical Trials
- Sizing & analysis -> the Biostatistics courses
- The sibling spine -> Intro to Pharmaceutical Medicine
- This course does not duplicate the others
- The whole map on one line for veltarib
- G. Putting it to work
- Reading the funnel like a practitioner
- Using the map in your role
- 📘 Bonus: Clinical Phases of Drug Development eBook (Free with purchase)
Course Benefits

Get our exclusive eBook with every purchase - a complete companion guide to the course, yours to keep forever
Gain Continuing Professional Development (CPD) Points, accredited by The Faculty of Pharmaceutical Medicine of the Royal College of Physicians of the United Kingdom. These can be used to count towards the distance learning element of any scheme that comes under the umbrella of The Academy of Medical Royal Colleges or any other scheme for which there is mutual recognition.
Receive a personal certificate to show your subject knowledge on course completion.
You get excellent value through our cost-effective prices. We can also offer you group discounts on larger purchases.
The course saves you time through the convenience of online availability. This lets you complete the interactive course at your own comfort.
You will stay up to date with any changes to ICH E9 (Statistical Principles for Clinical Trials), ICH E9(R1) (estimands and sensitivity analysis), ICH E3 (clinical study reports) and CONSORT 2010 reporting standards for time-to-event endpoints, as our training courses are constantly monitored, reviewed and updated.
The course content has been developed by practitioners in oncology and clinical-trial biostatistics to ensure that learners can read a Kaplan-Meier curve and a forest plot, interpret a hazard ratio, and report a survival analysis that will withstand regulatory and peer review.





