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Insights & Analytics in Life Sciences: How to Embrace a Future with Generative AI

Published December 18, 2023

First, A Few Potentially Unsettling Truths Adoption and adaptation to Generative AI (GenAI) is a strategic imperative for pharma commercial insights departments if they want to maintain and enhance their relevance, impact, and strategic value within their organizations. Organizations are increasingly data-driven; market research teams that do not leverage AI will struggle to provide the timely, nuanced insights that modern pharma marketing organizations demand, diminishing their role in critical decision-making processes. Top talent gravitates towards innovation. Departments that fail to…

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Webinars

Cracking the Code on Generative AI: From Hype to Impact

Available On Demand

Watched our AIML 101 webinar and ready to learn more? Trinity Life Sciences is excited to continue the conversation with our next webinar, which will dive deeper into how pharma companies can move beyond the hype to unlock the value of Generative AI (GenAI). Join Trinity experts, Steve Laux, VP of Commercial Insights & Advanced Analytics, Nabha Subramanya, VP of Data Science and Patrick Waring, Director of New Products & Strategy, as they sift through all the noise surrounding GenAI and share…

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Webinars

Patient Finding with AIML: Increasing Targeting Precision and Field Force Pull Through

Available On Demand

There are four key pieces to Patient Finding: Identifying, collating and integrating the right data Defining the appropriate test population Building the right features in the model Planning and executing actions once you’ve found the patients All four are crucial to successfully find patients. Join Adrienne Lovink, Partner and Head of Real-World Evidence (RWE) at Trinity Life Sciences, as she hosts a lively discussion on the ins and outs of Patient Finding with Trinity panelists Steve Laux, Vice President of…

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Blog

AIML-Based Patient Finding—Threading the Needle in the Haystack

Published July 21, 2023

For life sciences companies focused on rare diseases, accurate patient finding is a worthy challenge—one deserving dedicated time and resource to tackling and solving. The benefit of enrolling even one new patient is large, both for the lives of patients in need and the commercial success of the therapies. Why is patient finding in rare disease such a challenge? The hallmarks of a rare disease work against traditional targeting methods: small patient population sizes, complex disease recognition, lengthy roads to…

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Blog

The Future of AI for Market Access: An ISPOR US 2023 Recap

Published July 17, 2023

This year Trinity team members at ISPOR 2023 attended several symposia and presentations on the use of Artificial Intelligence (AI) to support biopharma evidence generation. Among many industry trends, experts anticipate that AI and machine learning will increasingly be leveraged to identify optimal patient populations and expedite the path toward personalized medicine. Pioneering New Frontiers in Health Economics and Market Access: The transformative power of AI, ML and advanced data analytics This symposium focused on the role of innovative technologies…

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Webinars

Artificial Intelligence & Machine Learning 101

Available On Demand

You have likely heard all the buzz around Artificial Intelligence and Machine Learning (AIML), but what does it really mean? It’s time to cut through the complexity during Trinity Life Sciences’ AIML 101 webinar. This webinar is designed for the AIML novice, who knows very little about the topic but doesn’t want to be left behind. AIML is here. Be ready with Trinity. Key Webinar Topics What is Artificial Intelligence? What is Machine Learning? Are they different? We’ll demystify how…

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Webinars

Driving Commercial Success with AI: Build, Calibrate and Operationalize

Available On Demand

Now Available On Demand: In today’s cutthroat life sciences marketplace, commercial effectiveness in all its parts has never been so important.  From field force effectiveness to optimization of promotional investment through to Next Best Action implementation, tailoring the customer experience through content and tactics is the focus. Cross-functional coordination across teams and operationalizing at scale are the goal. Come join Nabha Subramanya, VP of Data Science at Trinity Life Sciences and Anushank Anand, Director in Trinity’s Analytics practice, as they…

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Case Studies

Improving targeting precision and field force direction through AIML-based patient finding

Background A global rare disease company was looking to improve targeting precision and support field team effectiveness Traditional targeting was non-viable due to the small size of the patient populations, complex disease recognition and diagnosis, and restrictive therapy eligibility criteria Attempts by a prior analytics partner to use rule-based alerts failed, and even after two years, no new patients had been identified Given the small number of patients in each indication, every new start is high value, both for the…

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White Papers

Why you should consider Patient Finding for physician targeting

Patient Finding is an innovative tool to improve customer targeting that can be implemented fairly quickly, without a lot of organizational disruption, retraining, or complex data integration. It is a worthwhile addition to your portfolio of targeting methods. For appropriate brands, Patient Finding can provide a significant competitive advantage. As it becomes more widely used by the pharma industry, late adopters may find themselves at a competitive disadvantage. Complete the form below to access “Why you should consider Patient Finding…

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Webinars

Everything You Wanted to Know About Patient Finding but Were Afraid to Ask

Available On Demand

According to a TGaS Advisors’ large landscape study, 45% of all machine learning commercial use cases in the life sciences industry were for finding patients, often for HCP alerts and targeting. In fact, if you are not doing patient finding alerts/targeting, you are probably behind the industry.Come join TGaS Advisors, a division of Trinity Life Sciences, as we share the “ins and outs” of patient finding, including learnings from our study. It’s clear that patient finding can have a big…

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