October 9, 2025 / 9:00AM - 5:30PM

State Room, Boston

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Transforming the Future of Healthcare & Life Sciences

Generative AI is moving beyond proof-of-concept into real clinical and research settings, helping healthcare and life sciences organizations accelerate drug discovery, improve patient outcomes, and modernize operations.

With Gen AI investment projected to reach $120B by 2030 and IT budgets shifting fast, the urgency to deploy secure, compliant, high-impact solutions is growing. Yet fewer than 40% of organizations have scaled Gen AI, often due to regulatory hurdles, fragmented data, and the need for precision and privacy.

A new wave of innovation is emerging: Agentic AI and multi-agent architectures that reason, collaborate, and automate complex clinical and research workflows. Paired with biomedical foundation models, these systems are driving breakthroughs across R&D and care delivery.

R E G I S T E R

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Join us to explore how Gen AI is reshaping the future of health - from bench to bedside.

This conference brings together Healthcare & Life Science's leaders, pioneers, and technology experts to explore:

R E G I S T E R

Transforming the Future of Healthcare & Life Sciences

October 9, 2025 / 9:00AM - 5:30PM

Boston

21st November 09:00am - 11:30am

The Hotel Chelsea

Agenda

09:00 AM

Breakfast and Networking

Opening Remarks

10:00 AM

AWS Keynote

Break

11:50 AM

Rosalind Picard

Partner Showcase 3

09:45 AM

11:30 AM

12:20 PM

10:30 AM

Partner Showcase 1

2:05 PM

Partner Showcase 4

3:25 PM

Wrap up & Closing Remarks

4:05 PM

Happy Hour & Networking

11:00 AM

Partner Showcase 2

12:40 PM

Moderated Roundtables

1:05 PM

Lunch

2:35 PM

Partner Showcase 5

2:55 PM

AWS Visionary Panel/Partner Q&A

5:30 PM

Close

21st November 09:00am - 11:30am

The Hotel Chelsea

Agenda

09:00 AM

Breakfast and Networking

Opening Remarks

10:00 AM

Keynote 1

Break

11:50 AM

AWS Keynote 

Partner Showcase 3

09:45 AM

11:30 AM

12:20 PM

10:30 AM

Partner Showcase 1

2:05 PM

Partner Showcase 4

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3:25 PM

Wrap up & Closing Remarks

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4:05 PM

Happy Hour & Networking

11:00 AM

Partner Showcase 2

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Lorem ipsum dolor sit amet, consectetur adipiscing elit

12:40 PM

Moderated Roundtables

1:05 PM

Lunch

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2:35 PM

Partner Showcase 5

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2:55 PM

AWS Visionary Panel/Partner Q&A

5:10 PM

Close

State Room: A Longwood Venue

60 State St 33rd floor, Boston, MA 02109, United States

Directions

EVENT PARTNERS

FEATURING

Partner Speakers

Justin Marcucci

President, Apexon

VIEW BIO

Nirmal Ranganathan

CTO, Rackspace Technologies

Ali Hodroj

Senior AI Architect, Rapidscale

VIEW BIO

Vaidant Singh

Business Head, Americas & CMO, SourceFuse

VIEW BIO

Luiz Cieslak

SVP of Healthcare & Life Sciences, CI&T

VIEW BIO

How Agentic and multi-agent AI systems accelerate drug discovery and clinical workflows

Building scalable, secure, and compliant Gen AI infrastructure

The role of biomedical foundation models in boosting accuracy and insight

Enhancing patient engagement and clinician productivity

Driving innovation and efficiency while maintaining data privacy and governance

Automating medical coding, documentation, and administrative workflows with Gen AI  to reduce clinician burnout and improve billing accuracy.

Customer Speakers

VIEW BIO

Tobias Guennel

Co-Founder & CTO, QuartzBio

Rosalind Picard

KEYNOTE SPEAKER

MIT professor Rosalind Picard is a visionary entrepreneur, scientist, engineer and inventor. She has authored or co-authored more than 300 scientific articles and chapters covering such topics as digital health, affective computing, machine learning, human-computer interaction, and wearable sensing, many of which received best paper prizes. She serves and has served on numerous international and national science and engineering program committees, editorial boards and review panels. 

Picard holds a bachelor’s degree in electrical engineering with highest honors from the Georgia Institute of Technology, as well as master’s and doctorate degrees in electrical engineering and computer science from MIT. Her research areas span computer vision, machine learning, wearable sensors and pattern recognition.

Our Speakers