Highlights of the Program
2 days business program:
Learn from real-world case studies by industry leaders.
SHOWCASING INNOVATION:
Discover the latest technology and techniques from across the industry.
leaders talk:
Hear from top-level experts about how to stay ahead in a fast-changing industry.
MULTIPLE STREAMS:
A business program that is multi-disciplinary, giving you a broad view of the industry.
SMART TECHNOLOGIES:
Explore the latest smart and AI-driven solutions, and see how they can be used in your business.
roundtable discussion:
Join talks with industry peers. Share ideas, make connections, and find new partners.
Program
Day 1 :
WEDNESDAY, APRIL 8, 2026
08:00 - 09:00
REGISTRATION AND MORNING REFRESHMENTS
09:00 - 09:10
OPENING ADDRESS
09:10 - 09:35
HARNESS THE POWER OF DATA AND AI IN HEALTHCARE AND LIFE SCIENCES


Naiteek Sangani
Microsoft
- Transitioning research to products using multimodal healthcare AI models for innovation
- Positioning generative AI as a transformative force for patients and the health workforce
- Highlighting Microsoft's responsible AI strategy to empower partners via cloud solutions
09:35 - 09:40
Q&A SESSION ON DATA AND AI IN HEALTHCARE
09:40 - 10:05
TEN REASONS WHY AI IS NOT ADOPTED IN HEALTHCARE: AND HOW TO RECONCILE THESE CHALLENGES


Anthony Chang
CHOC
- Identifying systemic, cultural, and operational barriers that hinder AI adoption in healthcare settings
- Exploring practical solutions to overcome these challenges and accelerate meaningful AI integration
- Assessing the current landscape of AI implementation amid evolving healthcare policy and economic pressures
10:05 - 10:10
Q&A SESSION ON BRIDGING AI RESEARCH AND CLINICAL APPLICATION
10:10 - 10:40
SPEED NETWORKING SESSION
- Exchange business cards and get connected in short one-to-one meetings
- Start the conversation to arrange a more formal meeting later on in the conference
- Share your professional background and discuss your biggest business issues - don't forget your business cards!
10:40 - 11:00
MORNING COFFEE BREAK IN THE EXHIBIT AREA
11:00 - 11:30
PANEL DISCUSSION ON AI-DRIVEN TELEMEDICINE: PERSONALIZING VIRTUAL HEALTHCARE FOR BETTER PATIENT OUTCOMES
- How do you establish trust in virtual care while using AI to deliver personalized services?
- To what extent do payers value remotely collected patient outcome data in telemedicine?
| AnalytAIx
| Avania LLC
11:30 - 11:55
CURRENT GAP BETWEEN AI RESEARCH AND ITS REAL-WORLD APPLICATION IN CLINICAL SETTINGS


Maneesh Goyal
Mayo Clinic
- Exploring the role of platforms in connecting researchers, clinicians, and healthcare organizations
- Advocating for transparency, responsible AI, and seamless technology integration in clinical workflows
- Highlighting strategies to involve end-users in the AI development and implementation process
11:55 - 12:00
Q&A SESSION ON BRIDGING AI RESEARCH AND CLINICAL APPLICATION
12:00 - 12:25
AI TRANSFORMING CLINICAL CARE: RESHAPING RISK MANAGEMENT AND PROCESS OPTIMIZATION


Arash Kia
Mount Sinai Health System
- Exploring AI's role in improving clinical care through risk management and process optimization
- Highlighting AI-driven tools for risk prediction, with insights from a delirium-risk case study
- Demonstrating AI's impact on workflow automation in psychiatry units to enhance care quality
12:25 - 12:30
Q&A SESSION ON AI FOR CLINICAL RISK MANAGEMENT AND OPTIMIZATION
12:30 - 13:30
NETWORKING LUNCH AND VISITING THE HEALTH AI SUMMIT EXHIBITION
13:30 - 14:00
PANEL DISCUSSION ON FROM WEARABLES TO PREDICTIVE CARE: THE ROLE OF AI IN REVOLUTIONIZING PATIENT MONITORING
- What are the top AI applications in predictive care, and how have they improved patient outcomes?
- What are the most promising AI innovations currently revolutionizing patient monitoring?
- What is the reimbursement landscape faced by AI-technologies used for patient monitoring?
| Homewatch CareGivers
| Rackspace Technology
| Avania LLC
14:00 - 14:30
RESERVED PRESENTATION
14:30 - 14:55
ACCELERATING HEALTHCARE WITH AI: A DEEP DIVE INTO BRONSON'S AI ACTIVATION


Amit Jindal
Chartis
- Establishing robust infrastructure, governance, and skilled teams to enable AI adoption
- Highlighting innovative AI initiatives, including clinical, financial, and operational solutions
- Exploring challenges, opportunities, and the future of AI in transforming healthcare
14:55 - 15:00
Q&A SESSION ON BRONSON'S AI INITIATIVES
15:00 - 15:30
AFTERNOON COFFEE BREAK IN THE EXHIBIT AREA
15:30 - 16:00
RESERVED PRESENTATION
16:00 - 16:25
THE RISE OF PATHWAY-BASED AI/ML TOOLS FOR MULTIOMIC DIAGNOSIS AND DRUG TARGETING


Eric Gieson
The Conafay Group
- Showcasing AI/ML tools for diagnostics, drug discovery, and multi-omic dataset analysis
- Highlighting AI applications in early cancer diagnosis and therapy targeting using epigenetic data
- Predicting future innovations driven by pathway-based multiomic analysis in healthcare
16:25 - 16:30
Q&A SESSION ON AI/ML FOR MULTIOMIC HEALTHCARE SOLUTIONS
16:30 - 16:55
TRAINING FUTURE PROFESSIONALS THROUGH HEALTHCARE SYSTEMS ENGINEERING (HSE)


Rajesh Kavasseri
South Dakota State University
- Introducing a new undergraduate program that prepares engineers for an AI-enabled healthcare future
- Highlighting specialized tracks in AI, data science, and devices that support diverse career paths
- Collaborating with healthcare providers to close gaps between innovation, education, and practice
16:55 - 17:00
Q&A SESSION ON EDUCATION IN HEALTHCARE SYSTEMS ENGINEERING
17:00 - 18:00
NETWORKING DRINKS RECEPTION
Day 2 :
THURSDAY, APRIL 9, 2026
08:30 - 09:00
MORNING REFRESHMENTS
09:00 - 09:10
OPENING ADDRESS
09:10 - 09:40
RESERVED PRESENTATION
09:40 - 10:05
MAKING SPECIALTY CARE MORE ABUNDANT AND ACCESSIBLE WITH NEW (AND OLD) AI APPLICATIONS


Munir Al-Dajani
Color
- Exploring AI use in specialty care to support complex clinical decisions like in oncology
- Expanding access to specialty expertise through AI-enabled support available anytime, anywhere
- Combining frontier models with expert systems to increase accuracy and accelerate treatment
10:05 - 10:10
Q&A SESSION ON AI FOR ACCESSIBLE SPECIALTY CARE
10:10 - 10:30
MORNING COFFEE BREAK IN THE EXHIBIT AREA
10:30 - 10:55
ARKA: ANTIBODY ENGINEERING PLATFORM


Tanushree Jaitly
20/15 Visioneers
- Optimizing antibody design with AI to address challenges in therapeutic and diagnostic engineering
- Utilizing NLP and deep learning to streamline workflows and accelerate drug development timelines
- Enhancing decision-making with predictive models for tailored antibody candidate properties
10:55 - 11:00
Q&A SESSION ON AI-DRIVEN ANTIBODY ENGINEERING
11:00 - 11:25
LEVELING UP IN THE AGE OF AI: STRATEGIES FOR AUGMENTING STAFF AND RETOOLING MEDICAL PRACTICE


Ryan Leonard Pei
RLP
- Understanding how healthcare leaders can guide AI adoption while fostering workforce trust
- Streamlining provider and payer workflows by integrating AI across the revenue cycle
- Empowering staff with training to confidently adopt and work alongside AI technologies
11:25 - 11:30
Q&A SESSION ON GENERATIVE AI FOR MEDICAL DEVICES
11:30 - 11:55
GEN AI IN PROVIDER AND PAYER OPERATIONS: IMPACTS AND CHALLENGES


Greg Caressi
Frost & Sullivan
- Examining Gen AI's growing role in improving efficiency across healthcare operations
- Reviewing Frost & Sullivan’s analysis of impactful Gen AI use cases for providers and payers
- Exploring applications in drug discovery, customer service, and operational advancements
11:55 - 12:00
Q&A SESSION ON GEN AI IN HEALTHCARE OPERATIONS
12:00 - 13:00
NETWORKING LUNCH AND VISITING THE HEALTH AI SUMMIT EXHIBITION
13:00 - 13:25
GENERATIVE AI IN A BOX – NVIDIA HOLOSCAN FOR MEDICAL DEVICE DEVELOPMENT


Joerg Schwarz
Infor
- Demonstrating Nvidia Holoscan's closed Rules-as-Code system for safe generative AI use
- Highlighting real-time clinical integration via Infor Cloverleaf for secure AI operations
- Showcasing generative AI applications, like surgery robots, without risking PHI exposure
13:25 - 13:30
Q&A SESSION ON GENERATIVE AI FOR MEDICAL DEVICES
13:30 - 13:55
MULTIMODAL AI FOR IMPROVED PERFORMANCE & EXPLAINABILITY IN HEALTHCARE


Farzad Khalvati
SickKids
- Defining multimodal learning and its role in enhancing performance in healthcare AI systems
- Comparing supervised and unsupervised methods for improved explainability in medical diagnostics
- Showcasing case studies on lung disease and pediatric tumor diagnosis using multimodal AI tools
13:55 - 14:00
Q&A SESSION ON MULTIMODAL AI IN MEDICAL DIAGNOSTICS
14:00 - 14:30
RESERVED PRESENTATION
14:30 - 14:45
FEEDBACK & RAFFLE DRAW
14:45 - 15:00
CLOSING REMARKS
Become a Speaker & Join the Conversation
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