- Sustainability
- DE&I
- Pandemic
- Finance
- Legal
- Technology
- Regulatory
- Global
- Pricing
- Strategy
- R&D/Clinical Trials
- Opinion
- Executive Roundtable
- Sales & Marketing
- Executive Profiles
- Leadership
- Market Access
- Patient Engagement
- Supply Chain
- Industry Trends
Using AI to drive successful clinical development planning
Webinar Date/Time: Wednesday, September 25th, 2024 at 10am EDT | 7am PDT | 3pm BST | 4pm CEST
Do you know how AI can inform clinical development planning and drive competitive advantage? In this webinar, learn how AI can be used to simulate clinical development pathways, from pre-clinical all the way to post launch, helping to inform clinical development planning to optimize speed, cost and value.
Register Free: https://www.pharmexec.com/pe_w/successful-clinical-development
Event Overview:
As clinical trials increase in complexity and the race to market intensifies, AI/ML methodologies can provide insights that support the probability of technical, regulatory and even commercial success. Predictive modeling, generative AI and other techniques can be layered to help sponsors objectively assess their assets, design better trials and develop strategies to increase speed and value, while reducing costs. This webinar provides an overview of the many ways AI/ML can be applied throughout R&D to guide sponsors in their decision making.
Three key take-aways
- Discover how AI can predict the success of clinical trials in terms of efficacy, regulatory approval, operational feasibility, reimbursement attainment and product uptake.
- Understand how AI can help with indication selection and sequencing for an asset, as well as trial parallelization and sequencing, to optimize the value of clinical development plans from a cost, time to market and value perspective.
- Explore how AI-powered scenario planning can identify both design and planning risks so sponsors can correct course early on.
Speaker:
Raja Shankar
VP, Machine Learning
IQVIA
Raja is focused on transforming life sciences with Applied AI. As the VP for Machine Learning, Raja is determined to change healthcare with the power of AI. He believes that imagination is the biggest barrier and motivates his team to create new narratives that fully leverage AI's potential to reshape the industry from R&D through to commercialization. Raja brings together a diverse set of technical and strategic capabilities, including Machine Learning, Deep Learning, Generative AI, Product Development, Life Sciences Expertise and Business Consulting Skills. His team combines data science, domain expertise and consulting skills to create "superhero" change makers who drive impactful change by applying AI to life sciences and healthcare decisions. Raja is a trusted advisor to global life sciences companies, public sector clients, as well as international organizations.
Register Free: https://www.pharmexec.com/pe_w/successful-clinical-development
Key Findings of the NIAGARA and HIMALAYA Trials
November 8th 2024In this episode of the Pharmaceutical Executive podcast, Shubh Goel, head of immuno-oncology, gastrointestinal tumors, US oncology business unit, AstraZeneca, discusses the findings of the NIAGARA trial in bladder cancer and the significance of the five-year overall survival data from the HIMALAYA trial, particularly the long-term efficacy of the STRIDE regimen for unresectable liver cancer.
Cell and Gene Therapy Check-in 2024
January 18th 2024Fran Gregory, VP of Emerging Therapies, Cardinal Health discusses her career, how both CAR-T therapies and personalization have been gaining momentum and what kind of progress we expect to see from them, some of the biggest hurdles facing their section of the industry, the importance of patient advocacy and so much more.
