Schedule | AI in Healthcare & Pharma Summit 2024

Day 1 Nov. 13
Day 2 Nov. 14

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08:00

REGISTRATION & LIGHT BREAKFAST
08:50

Morning Sessions Begin
08:50

Opening Remarks and Welcome

Christie Mealo - Senior AI/ML Engineering Manager - CVS
09:00

Opening Keynote: Charting the Future of AI in Healthcare & Pharma

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9:30

PANEL: Key Practices for AI Integration Excellence for Existing Healthcare and Pharma Systems
Panelist

Matt Lewis - Global Chief Artificial and Augmented Intelligence Officer - Inizio Medical
Panelist

Emily Iacolo - Senior Director, Care Navigation and Provider Technology Engineering & Value Stream Leader - Blue Cross Blue Shield of Massachusetts
Panelist

Sadiq Y. Patel - VP of Data Science & AI - Waymark
Track A: Clinical and Patient-Centric AI Applications
10:10

Augmenting Mental Wellness: The Promise and Potential of AI in Neuropsychiatric Commercialization

Matt Lewis - Global Chief Artificial and Augmented Intelligence Officer - Inizio Medical
- Discover how AI is transforming diagnostics and treatments in neuropsychiatry.
- Learn about the potential of commercial AI solutions in personalized mental health care.
- Explore how AI integration can revolutionize scalable and effective mental health interventions.
Track B: Research-Focused AI Applications
10:10

NLP for Superior Patient Engagement

Amir Tahmasebi - Director, Computer Vision and NLP, Healthcare - BD
- How can NLP enhance the quality and efficiency of patient interactions?
- What are the benefits of using NLP for accurate and efficient data entry in healthcare settings?
- How can healthcare providers integrate NLP to improve patient care and administrative processes?
10:40

Coffee and Networking Break in the Exhibit Hall
Track A: Clinical and Patient-Centric AI Applications
11:00

AI in Population Health Management

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- How does AI enhance the analysis and management of population health data?
- What are the key AI applications that improve health outcomes at a population level?
- Case studies showcasing successful AI-driven initiatives in population health management.
11:30

Maximizing Patient Engagement with AI-Powered Platforms

Shenson Joseph - Lead Data Scientist/ PhD Candidate - Artificial Intelligence - JPMorgan Chase/ University of North Dakota
- How can AI-powered platforms enhance patient engagement and improve healthcare interactions?
- What are the key AI interventions that lead to better patient outcomes and increased satisfaction?
- How can healthcare providers effectively integrate AI to transform the patient's experience?
12:00

Overcoming Challenges and Limitations of LLMs in Healthcare for Better Outcomes

Drew Smith - Chief Data and Analytics Officer - Ohio Health
- What are the main challenges faced when implementing large language models (LLMs) in healthcare?
- How do the limitations of LLMs affect their reliability and accuracy in medical applications?
- What strategies can mitigate the risks and pitfalls associated with LLMs in healthcare settings?
Track B: Research-Focused AI Applications
11:00

Synthetic Data Utilization for ML Performance: A Case of Quality and Agility

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- How can synthetic data be created and used to enhance the performance of machine learning models?
- What strategies address data quality and access issues while maintaining agility in AI development?
- How does synthetic data help overcome limitations in data availability for training robust AI models?
11:30

Transformative In Silico R&D and The Role of AI in Bioinformatics

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- How is AI enhancing bioinformatics and transforming in silico research and development in healthcare and pharma?
- What are the key applications and benefits of AI in analyzing biological data and conducting virtual experiments?
- How does AI-driven in silico R&D accelerate drug discovery and the development of personalized treatments?
12:00

Generative AI in Drug Discovery: Pioneering Innovations and Future Possibilities

Kausar Riaz Ahmed - Director, Generative AI Medical Engagement Lead - Pfizer
- How is generative AI accelerating the generation and analysis of clinical data to expedite research and development?
- In what ways is AI-driven technology enhancing personalized medicine, and how is it leading to more effective and tailored patient treatments?
- Explore the latest advancements in AI-powered diagnostic tools.
12:30

Lunch & Networking in the Exhibition Area
14:00

PANEL: Addressing Bias and Promoting Fairness with Equitable AI in Healthcare and Pharma
Panelist

Anemone Kasasbeh - Lead Data Scientist - United Health Services
Panelist

Todd Bresler - Associate Director, Patient Services Digital Operations - Takeda
Panelist

Kausar Riaz Ahmed - Director, Generative AI Medical Engagement Lead - Pfizer
Track A: Clinical and Patient-Centric AI Applications
14:40

Securing GenAI Applications in Healthcare Domain

Senthil Kumar - Director, Enterprise Architect - Fresenius Medical Care
- What are the unique security challenges posed by generative AI in the healthcare sector?
- How can we ensure compliance with healthcare regulations like HIPAA while leveraging generative AI technologies?
- What advanced techniques can be implemented to protect AI systems against cyber threats?
- Case studies demonstrating the successful implementation of secure generative AI applications, enhancing trust and reliability in AI-driven healthcare innovations.
Track B: Research-Focused AI Applications
14:40

Navigating Regulatory Hurdles in Digital Health Technologies

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Understand the key regulatory challenges in AI adoption and learn strategies to navigate and overcome these hurdles.
- What are the major regulatory barriers to AI adoption across industries?
- Strategies for ensuring compliance with evolving AI regulations.
- Insights from case studies on successfully addressing regulatory challenges in AI implementation.
15:10

Afternoon Networking Break
15:30

Predicting the Risk of Comorbidities in Type 2 Diabetes

Ferhat Yilmaz - Associate Director - Medical Information Operations Excellence - Novo Nordisk
- Uncover how AI helps forecast comorbidity risks in individuals with Type 2 diabetes.
- Gain insights into advanced methods for evaluating the likelihood of complications in diabetes care.
- Examine how AI-driven approaches enhance the early identification and prevention of comorbidities in Type 2 diabetes.
16:00

CASE STUDY: Unlocking the Power of Real-World Data for Better Healthcare Decisions

Anemone Kasasbeh - Lead Data Scientist - United Health Services
- How can real-world data (RWD) be leveraged to improve evidence-based healthcare decisions?
- What are the key benefits of using real-world evidence (RWE) in clinical practice and research?
- How can healthcare organizations effectively integrate RWD and RWE into their decision-making processes?
16:30

Closing Keynote: Responsible AI with Data

Kanti Singh - Director Data & Analytics, AI/ML - Fresenius Medical Care North America
- Explore the significance of responsible AI practices in data-driven solutions.
- Understand the ethical considerations in using data for AI development.
- Learn how to ensure transparency and accountability in AI systems through responsible data use.
16:45

Chairperson Closing Remarks

Christie Mealo - Senior AI/ML Engineering Manager - CVS
17:00

Networking Reception
08:00

REGISTRATION & LIGHT BREAKFAST
09:50

How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services

Sergio Rego - AI Customer Engineer - SambaNova Systems

In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.

To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.

AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:

• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks

Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.

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08:00

REGISTRATION & LIGHT BREAKFAST
Morning Sessions
09:00

Chairperson Opening Remarks and Welcome

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STARTUP SHOWCASE: Innovative AI Solutions from Emerging Healthcare Startups
09:00

Chairperson Opening Remarks and Welcome

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Track A: Clinical and Patient-Centric AI Applications
09:40

CASE STUDY: Advanced AI in Medical Imaging – From Detection to Automation

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- How are computer-aided diagnosis (CAD) systems being deployed and what benefits do they bring to medical imaging?
- What roles do semi-supervised learning techniques play in improving the classification of radiology images?
- How can AI be utilized for automated adverse event adjudication, enhancing efficiency and accuracy in medical imaging?
10:10

Precision Healing - How to Leverage AI on a Molecular Level

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- How is artificial intelligence advancing the understanding of molecular mechanisms, enabling the development of highly personalized treatment plans based on individual genetic profiles?
- Discover the latest advancements in AI applications for drug discovery and molecular diagnostics, revolutionizing the precision and effectiveness of therapies.
- Learn how leveraging AI on a molecular level leads to more targeted therapies, improving patient outcomes and transforming the future of healthcare.
Track B: Research-Focused AI Applications
09:40

Innovative Applications of Generative AI in Healthcare Research and Development

Rahul Kashyap - Medical Director, Research - WellSpan Health
- How is generative AI being applied in drug discovery, and what are its most significant impacts on the process?
- What are the benefits and innovations of using AI-generated clinical data for research and development in healthcare?
- How can generative AI enhance patient engagement and improve patient care experiences?
10:10

INNOVATION SPOTLIGH: Leveraging Genomic Data and Large Language Models to Revolutionize Pancreatic Cancer Diagnosis and Treatment

Simona Cristea - Head of Genomics Data Science and AI in the Hale Center for Pancreatic Cancer - Dana-Farber Cancer Institute
- Discover how genomic data and large language models are revolutionizing pancreatic cancer diagnosis.
- Learn about cutting-edge innovations in AI that are transforming pancreatic cancer treatment.
- Explore the potential of combining genomics and AI to enhance precision and outcomes in pancreatic cancer care.
10:40

Coffee and Networking Break in the Exhibit Hall
11:00

PANEL: Transforming Clinical Trials with AI – Enhancing Efficiency and Patient Experience
Panelist

Carolyn Pfeiffer - Senior Director, Privacy, AI & Ethics and DSSPE Operations - Johnson & Johnsons
Panelist

Asha Mahesh - Senior Director Janssen R&D Data Science & Digital Health - The Janssen Pharmaceutical Companies of Johnson & Johnson
Moderator

Hao Zhang - Director, Digital Healthcare Innovation - Mitsubishi Tanabe Pharma America
Track A: Clinical and Patient-Centric AI Applications
11:30

(Generative) AI in Healthcare: Navigating the Innovation Through the Hyper

Parisa Farzam - Global Director of AI in Medical Imaging Product - Bayer
Track B: Research-Focused AI Applications
11:30

AI and IoT for Remote Patient Care: Unlocking New Opportunities

Ramandeep Kaur - Head of Drug Coverage Review & Population Health Technology - Cigna Evernorth
- How are AI-powered wearables enhancing continuous health monitoring for patients?
- What are the benefits of integrating IoT and AI in remote patient care systems?
- What challenges and opportunities exist for using AI in home care and rural healthcare settings?
12:00

Lunch and Networking in the Exhibit Hall
13:30

The Implications of AI on Patient Awareness, Understanding, and Trust

Lisa Gualtieri - Digital Health Instructor/ Project Associate in Master of Science in Health Systems (MSHS) - Harvard/ Cedars-Sinai
- Discover how AI impacts patient awareness and engagement in healthcare.
- Learn how AI influences patient understanding of medical information and decisions.
- Explore the role of AI in building or eroding trust between patients and healthcare providers.
14:00

FIRESIDE CHAT: Personalized Medicine with AI – Building Trust and Improving Care
Speaker

Eli Goldberg - VP of Data and Innovation - Belle
This session delves into the human-centered approach to healthcare, emphasizing the importance of building trust between patients and providers.
- Explore how AI-driven personalized medicine is revolutionizing patient care by offering tailored treatment plans that cater to individual needs.
- Discover strategies for integrating AI technologies to enhance patient outcomes, ensure ethical practices, and foster a more personalized, trustworthy, and effective healthcare experience.
14:40

Precision Healing - The Role of AI and Digital Biomarkers

Elias Abou-Zeid - Associate Director and Principal Data Scientist - Novo Nordisk
- Discover the role of AI and digital biomarkers in advancing precision healing.
- Learn how AI is shaping personalized treatment strategies through real-time biomarker analysis.
- Explore the potential of AI-driven precision medicine to enhance patient outcomes and healing processes.
15:30

End of the Summit

AI in Healthcare & Pharma Summit schedule

AI in Healthcare & Pharma Summit 2024

AI in Healthcare & Pharma Summit 2024

AI in Healthcare & Pharma Summit

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