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

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
LEVERAGING AI IN ENTERPRISE STAFFING POOL TO ADVANCE TJC 2026 NATIONAL PATIENT SAFETY GOALS
Rosine Castro
Emory Healthcare

Rosine Castro

Emory Healthcare

  • Optimizing workforce allocation with predictive models to balance skill mix and demand
  • Integrating AI dashboards tracking fatigue, overtime, and adherence to trigger interventions
  • Enhancing decision support to maintain compliance with TJC 2026 staffing safety goals
10:05 - 10:10
Q&A SESSION ON AI-DRIVEN STAFFING AND SAFETY MANAGEMENT
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?
  • How can AI-driven telemedicine platforms ensure personalized medicine accuracy and maintain clinical accuracy despite limited health data?

| AnalytAIx

| Avania LLC

| CApIC ACE

11:30 - 11:55
CURRENT GAP BETWEEN AI RESEARCH AND ITS REAL-WORLD APPLICATION IN CLINICAL SETTINGS
Jerrold Jackson
Mayo Clinic

Jerrold Jackson

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
COLLECTIVE INTELLIGENCE IN HEALTHCARE: TURNING DATA INTO GLOBAL PRECISION MEDICINE
Jurgi Camblong
SOPHiA GENETICS

Jurgi Camblong

SOPHiA GENETICS

  • Enabling secure cross-border collaboration through decentralized AI that connects institutions
  • Linking vast genomic datasets to enhance clinical decisions and improve outcomes worldwide
  • Scaling clinical AI by turning siloed data into shared intelligence adopted across real settings
12:25 - 12:30
Q&A SESSION ON GLOBAL PRECISION AI NETWORKS
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?
  • How can AI address remote-monitoring barriers and strengthen proactive, cost-lowering disease-management programs?
  • How can AI transform wearable data into personalized insights while ensuring privacy, interpretability, and behavior change?

| Homewatch CareGivers

| Rackspace Technology

| Avania LLC

| ZOI Capital

| Geneial

14:00 - 14:25
AI-CENTERED PRE-SCREENING HUBS: THE NEXT FRONTIER OF EQUITABLE AND EXECUTABLE CLINICAL RESEARCH
Arturo Loaiza-Bonilla
Massive Bio

Arturo Loaiza-Bonilla

Massive Bio

  • Leveraging hybrid reasoning and oncology knowledge graphs for real-time trial matching
  • Centralizing patient consent, EMR, and genomics into unified AI-enabled screening workflows
  • Democratizing access to trials via SYNERGY-AI using federated learning and automation
14:25 - 14:30
Q&A SESSION ON EQUITABLE AND SCALABLE CLINICAL TRIAL ENABLEMENT
14:30 - 14:55
HOW AI CAN HELP SOLVE TODAY’S HEALTHCARE CRISIS
Nassib Chamoun
Health Data Analytics Institute

Nassib Chamoun

Health Data Analytics Institute

  • Addressing workforce shortages and rising healthcare costs through AI-driven efficiency
  • Leveraging predictive analytics and generative AI to enable proactive, data-informed care
  • Demonstrating improved patient and economic outcomes from real-world health system pilots
14:55 - 15:00
Q&A SESSION ON AI SOLUTIONS FOR HEALTHCARE EFFICIENCY
15:00 - 15:30
AFTERNOON COFFEE BREAK IN THE EXHIBIT AREA
15:30 - 16:00
PANEL DISCUSSION ON DEPLOYING GENERATIVE AI ACROSS CLINICAL AND VIRTUAL CARE
  • How can generative AI streamline clinician workflows while integrating safely across EHR, telehealth, and population-health systems?
  • What leadership strategies best scale generative AI from pilots to enterprise deployment across complex clinical and virtual workflows?
  • Which generative AI healthcare subsectors show strongest traction, and how will workflow integration and regulation shape future opportunities?
  • What major challenges shape AI implementation in healthcare, and how will adoption influence quality, efficiency, cost, and workforce?

| Help AI Solutions

| Confluence Partners

| Fusion Fund

| Newave Care

16:00 - 16:25
THE RISE OF PATHWAY-BASED AI/ML TOOLS FOR MULTIOMIC DIAGNOSIS AND DRUG TARGETING
Eric Gieson
The Conafay Group

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
THE WORKFLOW REBELLION: WHY 73% OF AI PILOTS FAIL—AND HOW THE 27% ARE REWRITING HEALTHCARE OPERATIONS
Sean Agnew
IuvoCare

Sean Agnew

IuvoCare

  • Diagnosing failure patterns by exposing workflow misalignment and lack of clinical input
  • Redesigning operations around AI to reduce friction and improve clinician efficiency
  • Empowering teams with co-designed metrics that measure trust, culture, and sustained adoption
16:55 - 17:00
Q&A SESSION ON FIXING BROKEN AI WORKFLOWS
17:00 - 17:25
DEMOCRATIZING INNOVATION: HOW AI AGENTS TRANSFORM HEALTHCARE BY CREATING THE 'CITIZEN DEVELOPER'
Jim Schwoebel
Quome

Jim Schwoebel

Quome

  • Accelerating application creation so non-technical staff can build HIPAA-ready tools rapidly
  • Automating security controls and documentation to simplify compliance for regulated apps
  • Showcasing real deployments that cut costs and speed innovation through AI-driven prototyping
17:25 - 17:30
Q&A SESSION ON AI AGENTS AND CITIZEN DEVELOPERS
17:30 - 18:30
NETWORKING DRINKS RECEPTION
Day 2 :
THURSDAY, APRIL 9, 2026
08:30 - 09:00
MORNING REFRESHMENTS
09:00 - 09:10
OPENING ADDRESS
09:10 - 09:35
RESPONSIBLE AI IN HEALTHCARE: BUILDING TRUST THROUGH GOVERNANCE, RISK, AND HUMAN INSIGHT
Craig Coleman
Coleman Health Services

Craig Coleman

Coleman Health Services

  • Implementing ISO/IEC 42001 frameworks to ensure transparent and ethical AI operations
  • Bridging clinicians and cybersecurity experts to create robust AI governance ecosystems
  • Aligning innovation strategies with patient safety, data protection, and compliance standards
09:35 - 09:40
Q&A SESSION ON RESPONSIBLE HEALTHCARE AI PRACTICES
09:40 - 10:05
MAKING SPECIALTY CARE MORE ABUNDANT AND ACCESSIBLE WITH NEW (AND OLD) AI APPLICATIONS
Amina Lazrak
Color

Amina Lazrak

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 - 10:35
AVATAR HEALTH: A GENERATIVE-AI DIGITAL TWIN FOR PREDICTIVE, PERSONALIZED CARE AND TRIAL READINESS
Josh Mann
Life Science Pro

Josh Mann

Life Science Pro

  • Integrating multi-omic, imaging, and wearable data into longitudinal digital twin models
  • Simulating interventions through generative algorithms to forecast risks and treatment effects
  • Safeguarding patient privacy and bias control via transparent, governed model frameworks
10:35 - 10:40
Q&A SESSION ON DIGITAL TWINS IN CLINICAL CARE
10:40 - 11:00
MORNING COFFEE BREAK IN THE EXHIBIT AREA
11:00 - 11:25
ARKA: ANTIBODY ENGINEERING PLATFORM
Tanushree Jaitly
20/15 Visioneers

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
11:25 - 11:30
Q&A SESSION ON AI-DRIVEN ANTIBODY ENGINEERING
11:30 - 11:55
LEVELING UP IN THE AGE OF AI: STRATEGIES FOR AUGMENTING STAFF AND RETOOLING MEDICAL PRACTICE
Ryan Leonard Pei
RLP

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
11:55 - 12:00
Q&A SESSION ON GENERATIVE AI FOR MEDICAL DEVICES
12:00 - 12:25
GEN AI IN PROVIDER AND PAYER OPERATIONS: IMPACTS AND CHALLENGES
Greg Caressi
Frost & Sullivan

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
12:25 - 12:30
Q&A SESSION ON GEN AI IN HEALTHCARE OPERATIONS
12:30 - 13:30
NETWORKING LUNCH AND VISITING THE HEALTH AI SUMMIT EXHIBITION
13:30 - 13:55
GENERATIVE AI IN A BOX – NVIDIA HOLOSCAN FOR MEDICAL DEVICE DEVELOPMENT
Joerg Schwarz
Infor

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
13:55 - 14:00
Q&A SESSION ON GENERATIVE AI FOR MEDICAL DEVICES
14:00 - 14:25
MULTIMODAL AI FOR IMPROVED PERFORMANCE & EXPLAINABILITY IN HEALTHCARE
Farzad Khalvati
SickKids

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
14:25 - 14:30
Q&A SESSION ON MULTIMODAL AI IN MEDICAL DIAGNOSTICS
14:30 - 14:55
HEALTHCARE SYSTEMS TODAY FACE A DUAL CRISIS: RISING ADMINISTRATIVE COSTS AND FRAGMENTED PATIENT CARE
Arshad Parveez
Intelligent HealthTech

Arshad Parveez

Intelligent HealthTech

  • Automating revenue cycle management with AI to reduce errors and accelerate reimbursements
  • Streamlining billing, coding, and claims processes to lower costs and improve cash flow
  • Predicting patient risks early through data-driven insights for personalized, proactive care
14:55 - 15:00
Q&A SESSION ON AUTOMATION AND PATIENT CARE INNOVATION
15:00 - 15:25
PRACTICAL AI GOVERNANCE IN HOSPITALS: REGULATIONS, ETHICS, AND GUARDRAILS
Bob Berbeco
Mahaska Health

Bob Berbeco

Mahaska Health

  • Clarifying shifting regulatory landscapes and comparing EU high-risk rules with U.S. norms
  • Establishing balanced governance models that secure PHI, reduce bias, and guide safe AI use
  • Operationalizing ethics through validation loops, staff inclusion, and recurring oversight
15:25 - 15:30
Q&A SESSION ON BUILDING SAFE HOSPITAL AI GOVERNANCE
15:30 - 15:45
FEEDBACK & RAFFLE DRAW
15:45 - 16:00
CLOSING REMARKS

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