Definitive Healthcare

In honor of Rare Disease Month, experts from Sanofi, Novartis and Definitive Healthcare will explore how the rare disease space has evolved and where it is heading in 2025.

This roundtable will provide key insights into how breaking down data silos, fostering collaboration, and focusing on rare diseases within the broader pharma ecosystem can accelerate the development of life-changing therapies.

Key discussion points will include:

• How Data Access Leads to Better Outcomes: Discussing how seamless access to integrated data—from clinical trials and real-world data- can enhance drug development, support better trial designs, and help pharma companies more efficiently address unmet medical needs in rare diseases.
• How to Improve Collaboration: Highlighting the critical need for collaboration between pharma companies, healthcare providers, academic institutions, and patient advocacy groups to drive more effective research and development and improve patient access to new therapies.
• The Future of Rare Disease in Pharma: Reflecting on how the increased focus on rare disease research, combined with better data access, will shape the future of drug development, personalized medicine, and patient care. Panelists will explore how the rare disease space has evolved and where it is heading in the coming years.

Speakers:

Alex Paragios, Regional Business Director (Sanofi)
Alex Paragios has been with Sanofi for 11+ years. In his role, he serves as the Regional Business Director – Northeast Pompe.

Brian Garino, Director, Advanced Analytics (Novartis)
Brian Garino is the Director, Advanced Analytics at Novartis. In his role, he leads predictive analytics practice designed to drive commercial acceleration via personal and digital touch optimization.

Evan Raggi, Principal
Evan Raggi brings 15+ years of data and analytics experience across cpg and healthcare companies. From start ups to fortune 100 companies, Evan has worked for some of the brightest and most innovative companies. At Definitive, Evan partners with our largest biopharma clients to help problem solve leveraging our entire portfolio of products and services.

In an investigation aimed at grasping the nuanced experiences of cancer patients and their caregivers, we delved into vast data of online posts using advanced natural language processing (NLP) techniques. Our approach involved dissecting elements like medications, illnesses, and treatments into standardized frameworks. By employing entity relationship mapping, we untangled the connections among these elements as described in user-generated content.

Drawing upon Large Language Models (LLMs), we distilled the texts into narratives centered around diseases. Our study illuminates the emotional and informational needs of patients and caregivers and proposes a practical solution to address these needs effectively through advanced technology.

We are in the early stages of developing a chatbot that can effectively utilize our solution and provide accurate and empathetic responses to common inquiries from patients and caregivers.

Speakers:

• Rohit Marwah, Senior Principal Insights & Analytics, Definitive Healthcare
  Rohit Marwah is a seasoned Real-world Data Specialist, and Subject Matter Expert within the pharmaceutical, payer, and provider domains. With a robust background spanning over 15 years, he has spearheaded numerous sophisticated data analytics initiatives, shaping commercial, HEOR, payer, and provider strategies through the utilization of real-world evidence, social, and publication data. Currently serving in a dual capacity, Rohit Marwah assumes the role of Senior Principal of Advanced Analytics at Definitive Healthcare while also leading the Passport Patient Analytics Product. His academic credentials include a master’s degree in biotechnology and bioinformatics.
• Subrat Mishra, Lead Data Scientist, Definitive Healthcare
  Subrat Mishra is a data science expert with a specific focus on Natural Language Processing, Generative AI, Graph Algorithms, and various facets of advanced Machine Learning. With more than 13 years of experience, he has adept leadership in managing computing and data science teams, effectively leveraging complex real-world data to drive innovative solutions and insights. He is a Lead Data Scientist helping address and solve intricate business challenges with the application of cutting-edge AI/ML techniques. He holds a Master's Degree in Computer Science, with a specialization in Advanced Machine Learning Algorithms.

Artificial intelligence is pushing the pharma industry forward, but where does the road go? Artificial intelligence (AI) and machine learning (ML) are revolutionizing how pharma organizations operate to identify treatment-ready patients, accelerate drug discovery, size marketing, enhance post-launch promotional marketing, and much more. To put a spotlight on both the biggest benefits and concerns regarding the use of AI/ML in pharma, Definitive Healthcare reached out to pharma companies through an online survey conducted in July 2023. We learned from leaders, decision-makers, end-users, and other professionals how the use AI/ML today, and what their hopes and concerns are for the future to create the "September 2023 Industry Report: Use of AI/ML in Life Sciences".

During this webinar we’ll discuss some of these survey results and interviews and share our thoughts on the future of AI/ML in the future of pharma and the overall healthcare market. Webinar attendees can receive the full report and an opportunity to connect with our panelists in a follow-up conversation.

Not only are artificial intelligence (AI) and machine learning (ML) two of the hottest buzzwords in the life science industry, but the underlying technology is changing the entire landscape of pharma, biopharma, and biotech. Increasingly, these companies are utilizing AI/ML analytics to inform decision making across the development lifecycle – reducing costs and shortening timelines associated with traditional data analysis.

In this session, industry experts will share how powerful AI / ML analytics can be used in pre- and post brand launch to provide treatments more quickly to patients, followed by specific applications to:

• Identify early signs of disease
• Speed up clinical trial patient recruitment
• Predict patients likely to respond to treatment options
• Monitor adverse events and side effects
• Estimate high-risk and rare disease patients
• Understand patient’s journey from multiple lenses
• Maximize promotional marketing and budget allocation

AI-ML can be used across various use cases in Bio Pharma. While popularly known to be used for identifying and accelerating new drug discovery & clinical applications especially in precision medicine, there is relevant and powerful application within the commercial setting as well to enable the right patients access to the right treatment at the right time.

In this presentation, Definitive Healthcare will showcase use cases across functions.

• A primary care drug hone & target to optimize a narrow strategic opportunity successfully (T2d)
• An expensive first in class statin with a niche indication find appropriate patients & broaden access
• Enabled a Biotech to get to market faster via accelerated enrollment
• Optimized patient compliance and reduced Patient Support Program spend via targeted interventions thru AI-ML predictive risk scoring of patients for non-compliance along with AI to determine top reason for non-compliance enabling right intervention at right time for right patient within Patient Hub