Technology

Almost a year and a half later, key understandings have emerged to help companies better combat future data-breach attempts.

Sonalee Agarwal, head of value and evidence strategy for Alnylam, talks with Pharm Exec about the role of real-world evidence in the rare and ultra-rare disease space.

In pharma, there may be hope that companies' and the industry's ability to adapt to change may finally be catching up to the pace of new and intelligent uses of technology and clinical data.

How artificial intelligence, wearable devices, and translational informatics are changing healthcare.

Pharma companies now need to identify areas where AI can be applied to the digital initiatives of every pharmaceutical marketer as they strive to reach physicians with precision and usefulness, writes Gaurav Kapoor.

Keshia Vaughn looks at how machine learning can transform commercial planning and outlines what teams will need to deploy it effectively.

Emil Eifrem examines how life science researchers at Munich’s German Center for Diabetes Research are uncovering insights in their data with a new way of working with complex data

Although it is unlikely that mock demonstrators will be seen at any drug information or regulatory conferences, pharmacovigilance software is indeed having its “Salesforce” moment.

The next generation of supply chain shows an increasing need for blockchain technology.

As pharm execs look to real-world data to aid in translational research and close the gap from traditional clinical trials to real-world efficacy, there are three foundational pillars to build from. Bill Fox reports.

AI has become ubiquitous in all industries, including life sciences. But is also attracting some concerns – particularly around job losses, ethics, and more broadly, how successful it really is, writes Steve Arlington.

Karim Damji discusses how Artificial Intelligence (AI)-informed Systems of Intelligence and Virtual Assistants offer powerful solutions to the common struggles pharma companies face today.

Daniel Gold looks at the benefits of centralising an organization's data in a core repository and adopting a comprehensive business intelligence strategy.

Brands should look to their agencies to be a true data-driven business partner, not just a creative partner, writes Kevin Troyanos.

There’s a growing realization that advances in connected devices, sensors and predictive analytics represent a game-changer when it comes to patient support programs (PSPs), writes Jim O'Donaghue.

For pharma leaders, AI can bring about a new reality of seeing a multitude of possible paths, forecasting the interplay of multi-dimensional trends, and charting patient journeys that are based on reality, writes Aswin Chandrakantan.

With specialty companies getting smarter in applying their big data insights to product marketing, the true commercial potential of machine learning and predictive modeling may soon be within reach.

An overview of Orphan Reinsurer and Benefit Managers groups, including potential challenges with the model and various model suggestions.

How pharma companies are leveraging natural language processing (NLP) for rapid and effective handling of unstructured text.

Analytics as a service can provide critical accelerators for the commercial transformation program at a life sciences organization, writes Himanshu Jain.

Benefit verification (BV) provides a detailed understanding of out of pocket costs for the prescribed treatment. Amy Jones details how AI is aiding the BV process.

While digital transformation in life sciences starts with digitization for compliance, it should be seen as a key lever of competitive advantage and success, writes Jaleel Shujath.

Artificial intelligence adoption by pharma companies in the UK demands a new, agile governance layer, write Tim Wright and Antony Bott.

If advanced technologies hold the key to at least some of the productivity issues R&D organizations need to overcome, Nicholas Lakin asks what are the best strategies and operating models for exploiting these aids to their fullest potential.

Traditional scientific search is broken. AI-supported smart searching is the answer, writes Jane Reed.

With blockchain still in the potential but not proven area of the pharma enterprise, when is the technology the right choice for you?

Ron Wince explains how Pragmatic AI allows organizations to start with the basics, create immediate business value and ROI and then increase adoption as their comfort, capabilities and confidence increases.