From Algorithms to Impact: Leadership Lessons for AI-Driven Biopharma Innovation
From discovery to delivery, AI is reshaping biopharma. Join leaders and innovators at From Algorithms to Impact to explore how AI moves beyond algorithms to real‑world impact.
As AI continues to accelerate discovery, development, and operational decision‑making, leaders are challenged not only to adopt new technologies but to bridge the gap between scientific potential and regulated execution. This in‑person event will examine how strategic leadership, cross‑functional collaboration, and responsible adoption of AI are shaping the future of biopharma.
Through a keynote presentation, expert talks, and a multi‑disciplinary panel discussion, speakers will share practical insights on topics such as strategic leadership in the age of AI, overcoming translational barriers, and deploying agentic and generative AI across regulated environments. The program highlights real‑world experiences from executives, scientific innovators, and operational leaders who are navigating the complexities of AI implementation while maintaining rigor, compliance, and patient focus.
The event concludes with structured and open networking, offering attendees the opportunity to engage directly with speakers and peers, exchange perspectives, and build connections across the biopharma ecosystem. Designed for scientific, business, technology, and regulatory leaders, this session offers a candid and forward‑looking dialogue on how AI can move from algorithms to meaningful impact.
Learning Objectives
- Understand how AI innovations are translated into real‑world impact across the biopharma value chain
- Identify leadership strategies and decision‑making approaches required to successfully implement AI
- Gain practical insights from industry and academic leaders on bridging the gap between AI potential
Agenda
1:00 PM - 1:30 PM | Registration & Networking |
1:30 PM - 2:00 PM | Intro and Key Note |
2:00 PM - 2:45 PM | Featured and Expert Presentation |
2:45 PM - 3:30 PM | Panel discussion |
3:30 PM - 4:00 PM | Q&A and Closing |
4:00 PM - 5:00 PM | Networking |
Additional Event Information
- Online registration deadline: 20 March 2026
- Event is open to: HBA Members and Non-members
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This event is not refundable.
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Onsite (walk -in) registration: Is Not Allowed
Featured Speakers
Lei
Xie
Professor,
Northeastern University
Pricing
| Regular Registration - In-person | $30.00 / €30.00 | $45.00 / €45.00 |
Members receive up to 50 percent discount
Event Policies
Photography Policy
By registering for this event, you acknowledge that you may be photographed, videotaped, and/or audio-taped during the meeting and hereby give permission for your image, voice, or survey comments to be used in education, training, promotion, and/or trade and communications media by the Healthcare Businesswomen's Association in any and all media throughout the world, without restriction as to frequency or duration of usage.
COVID-19 Policy
The HBA requires that all persons who participate in in-person events do so at their own risk and that each participant agrees to the following agreement before taking part in the activity and urges all participants to act in such a manner as to protect their own safety and the safety of others.
By registering for this event, I fully understand that my participation in the program is purely voluntary. I desire to participate and agree to act reasonably and prudently under the circumstances. I further understand that any HBA volunteers participating in the activity will act individually and will not represent the HBA. As a condition to my participation the activity, I waive and release the HBA and their officers, employees, and agents from any claim that I may have for any damage to property or injury to my person that may result in whole or in part from my participation.
Special Needs Policy
The HBA will make reasonable modifications to policies and programs to ensure that people with special needs can enjoy all of its programs. Contact us if you require special accommodations for this event.