Schedule | AI in Healthcare & Pharma Summit 2025 | RE•WORK

Day 1 Nov. 18
Day 2 Nov. 19

Get your ticket

Not Found

8:00 AM

REGISTRATION & LIGHT BREAKFAST
Morning Sessions Begin
9:00 AM

Opening Remarks and Welcome

Christie Mealo - Senior AI/ML Engineering Manager - CVS
9:15 AM

Opening Keynote: Bridging Clinical Trial and Real-World Data to Build Imaging Biomarkers for Precision Oncology

Taly Gilat Schmidt, PhD - Principal Research Scientist - Onc.AI
- What are imaging biomarkers and how can they be used for precision oncology?
- Challenges and opportunities for using real-world data to develop deep-learning imaging biomarkers
- Challenges and best practices for machine learning development at scale for software as a medical device
- Examples of Onc.AI imaging biomarkers to predict immunotherapy response and survival in advanced non-small cell lung cancer throughout the treatment journey
9:45 AM

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

Debkrishna Acharya - Co-Founder - Cognida.ai
Panelist

Matt Lewis - Former Global Chief Artifiical and Augmented Intelligence Officer at Inizio Medical and Current CEO, LLMental.ai, Founder, Rhythmental.AI -
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
10:25

AI-Powered Expert Review: Speeding Up Care Delivery

Niklas Nielsen - Co-founder & CTO - Log10

AI doesn’t replace healthcare professionals—it empowers them. Yet human oversight can slow down the delivery of quality care.

Log10 addresses this bottleneck by focusing on AI accuracy. Our LLMOps platform scales expert review, achieving domain-specific precision while enabling experts to complete their work in a fraction of the time.

In this talk, we’ll demo our report-generation tool, which scales expert review by learning from your edits and corrections. This tool automatically refines prompts and creates a self-improving feedback loop. Each adjustment—whether for tone, style, or domain-specific accuracy—boosts report precision and reliability over time. Powered by the Log10 platform, it integrates seamlessly into your workflow, continually enhancing accuracy and trust while reducing manual effort.
10:35

Empowering AI

Marc-Eric LaRocque - Chief Operating Officer - Incept Data Solutions

Effective use of AI technology can transform the way healthcare professionals deliver patient care. Yet, the need for human oversight can occasionally delay the swift delivery of quality care. Incept Data Solutions addresses this challenge by prioritizing AI accuracy and usability. Our approach focuses on optimizing data quality and governance, ensuring that AI solutions in healthcare are both effective and reliable.

In our session, we’ll showcase how leveraging FAIR Data Principles and proactive governance creates integration-ready data. We’ll explore the significance of high-quality, integration-ready data and how it enables effective AI implementation. We'll also cover best practices for data governance, emphasizing proactive planning and organization to optimize AI outcomes.

Finally, we’ll outline strategies for improving data usability, ensuring that your organization can fully harness the potential of AI. Join us to understand how strategic data management can drive impactful AI advancements in healthcare.
10:45 AM

Coffee and Networking Break in the Exhibit Hall
Track A: Clinical and Patient-Centric AI Applications
11:10

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?
11:40 AM

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

Matt Lewis - Former Global Chief Artifiical and Augmented Intelligence Officer at Inizio Medical, and Current CEO, LLMental.ai, Founder, Rhythmental.AI -
12:10 PM

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
11:10 AM

Traditional vs. Generative AI for Pharma: Insights & Reporting Case Study

Kaiwen Zhong - Associate Director, Strategic Data Products - Novartis
The presentation compares traditional and generative AI and their implications to the pharma industry, with a focus on commercial insights & analytics and the reporting of such insights. To do so, the presentation will have the following sections:
- The Journey: Different types of AI and pharma examples
- Technology Stack: Can we re-use previous technological investments in AI?
- Use Cases: A commercial data integration, insights, and reporting case study with both discriminative and generative AI
- Risks and challenges: New technology, new biases
- Incorporating AI in organization: Excitement, fatigue, suspicion shapes the new AI landscape in pharma
12:10 PM

Medical AI-Enabled Opportunistic Screening

Suzy McKinney - Physician, Director - Mass General Brigham Data Office
- How can AI drive further value from medical images beyond their initial indication?
- How can patients benefit from using AI to extract biomarkers from images?
- What are the barriers to implementing opportunistic screening in medical imaging in clinical practice?
12:40 PM

Lunch & Networking in the Exhibition Area
2:00 PM

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

Tina S. Lai - Public Health Bioinformatician -
Panelist

Anemone Kasasbeh - Lead Data Scientist - United Health Services
Panelist

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

Vivek Mukhatyar - Generative AI Medical Engagement Lead - Pfizer
2:40 PM

Securing Gen AI 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.
3:10 PM

Afternoon Networking Break
3:30 PM

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.
4:00 PM

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?
4:30 PM

Closing Keynote: Innovative Applications of Generative AI in Healthcare Research and Development

Rahul Kashyap - Medical Director, Research - WellSpan Health
- 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.
5:00 PM

Chairperson Closing Remarks

Christie Mealo - Senior AI/ML Engineering Manager - CVS
5:00 PM

Networking Drinks Reception

Not Found

8:00 AM

REGISTRATION & LIGHT BREAKFAST
Morning Sessions Begin
9:00 AM

Chairperson Opening Remarks and Welcome

Pinaki Saha - Founder & CEO - Anshar Labs
9:10 AM

Opening Keynote: (Generative) AI in Healthcare: Navigating the Innovation Through the Hype

Parisa Farzam, PhD - Managing Partner – Healthcare and Life Sciences - NovaViva
- Explore how generative AI is driving innovation in healthcare.
- Learn how to navigate the rapid advancements and challenges of AI in the medical field.
- Understand the implications of generative AI on the future of healthcare delivery and patient outcomes.
9:40 AM

Harnessing AI for the Development of a Blood Based Diagnostic Test for Adnexal Mass Risk Assessment

Manjusha Roy Choudhury - Data Scientist - Aspira Women's Health
- Development of a deep neural network-based model for clinical management of patients with adnexal mass.
- Clinical Utility of the diagnostic test: Aid the physician in surgical consideration decision for adnexal mass risk.
- Understanding the reliability and accuracy of AI enabled diagnostic.
10:10 AM

Genomics and AI for Understanding Cancer Progression

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 cancer research
- Learn about cutting-edge innovations in LLM that are transforming our understanding of cancer progression
- Explore the potential of combining genomics and AI to enhance prevention and treatment of cancer
10:40 AM

Coffee and Networking Break
11:00 AM

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

Hao Zhang - Director, Digital Healthcare Innovation - Mitsubishi Tanabe Pharma America
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
Panelist

Abhishek Gupta - Senior Director, Research & Development - BlueRock Therapeutics
11:40

Presentation: 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?
12:10 PM

Lunch and Networking in the Exhibit Hall
1:10 PM

Successful Integration of Clinically Responsible AI for Improved Patient Outcomes

Amy Molten - Medical Staff, Clinical Teaching/ Executive Committee Member and Chair-Elect, Section on Advances in Therapeutics & Technology (SOATT) - Tufts Medical Centre/ American Academy of Pediatrics
- What does clinically responsible AI integration look like in practice?
- What are the key principles that transform AI from a potential risk to a reliable healthcare tool?
- How can we build AI platforms that stick? Three pillars of sustainable clinical value
1:40 PM

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.
2:10 PM

FIRESIDE CHAT: Revolutionizing Patient Care: Realizing the Potential of AI-Driven Personalized Medicine
Moderator

Tina S. Lai - Bioinformatician -
Speaker

Amy Molten - Medical Staff, Clinical Teaching/ Chair, Section on Advances in Therapeutics & Technology (SOATT) - Tufts Medical Center/ American Academy of Pediatrics
Speaker

Nita Thingalaya - North America Senior Director Medical Evidence Generation & Innovation - Sanofi
Speaker

Lisa (PhD, ScM) Gualtieri - Instructor - Harvard T.H. Chan School of Public Health
2:40 PM

Closing Keynote: Pragmatic Assessment and Deployment of GenAI in the Clinical Research

Sandy Aronson - Executive Director of IT and AI Solutions - Mass General Brigham Personalized Medicine
- Uses of Generative AI to assist recruitment
- Methods for establishing capabilities
- Measuring nondeterminism and managing drift
3:10 PM

Chairperson Closing Remarks

Pinaki Saha - Founder & CEO - Anshar Labs
3:15 PM

End of the Summit