Predicting Drugs' Commercial Potential: No Crystal Ball Yet, but Can We Get Closer to One?

Posted by Yasasvi Popuri on Wed, Feb 05, 2020

Emily Mandell co-wrote this blog post with Yasasvi Popuri.

What clinical profile should our pipeline drug pursue to compete in a crowded market? For which patients will our drug be preferred and why? How will the adoption of our in-market drug change with upcoming biosimilars, competitive launches and changing guidelines? These multibillion-dollar questions are very familiar to commercial and medical teams of pharmaceutical and biotech companies, but just how do they feel about answering them? Simply put: uncertain.


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AI & Real-World Data: A Perfect Union

Posted by Arun Shastri on Mon, Jan 27, 2020

This blog post is the seventh in a series on the impact that AI will have on different business aspects of pharma.

Real world data (RWD) is as old as data itself. It was relatively useless, however, until it was digitized. And then once it was digitized, we struggled to analyze so much data at scale with any kind of efficiency.

Enter our ability to store and analyze large volumes of data and advancements in data science, algorithms and technology. With the help of AI, it’s now possible to truly leverage RWD and begin to understand patient populations in holistic ways that have so far eluded pharmaceutical companies. It’s accelerating the use of evidence across healthcare to support the focus on patient health outcomes.


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How to Get Pharma Leaders to Wrap Their Minds—and Their Arms—Around Advanced Analytics

Posted by Shreyas Murthi on Mon, Mar 11, 2019

 

The business of pharma is becoming more data-driven—from R&D to commercial—yet many pharma companies still struggle to garner leaders’ buy-in to build and operate the analytics programs that they need to fuel their success. They face tough challenges, including overcoming skepticism, proving the program’s value and scalability, finding the right talent and ensuring organizational collaboration.    


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The State of AI Adoption in Pharma

Posted by ZS Editors on Tue, May 01, 2018

Artificial intelligence, predictive analytics and other such technologies are coming to a pharmaceutical company near you. In fact, some would say that they’ve already arrived. But just how ready are pharma companies to embrace and integrate these technologies, and can AI really deliver?


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Success in Shifting Analytics to the Cloud

Posted by Sanjay Bhasin on Wed, Jun 08, 2016

With numerous new technology options available for data analytics, more companies are looking at the need to upgrade outdated and restrictive platforms—both hardware and software. They see the opportunity to create state-of-the-art capabilities using increasingly viable options in cloud technology, big data analytics, data storage and reporting tools.


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