Technology

Innovations in Big Data will have a lasting impact on care and present an opportunity for U.S. pharmaceutical companies, writes Nobuko Kobayashi.

Ashley Slavic outlines the preparations for the new EU data protection regulation, and what others can learn from the experience

The use of more targeted therapies is expanding as the public gains access to low-cost genetic testing, and more advanced computer systems are offering data from healthcare systems.

Meeting the stringent cloud compliance and regulatory requirements in pharma. 

Overcoming the challenges of digital brand management will involve choices in spending and channels.

The recent Pharma Customer Experience Summit explored the changing ways that patients are searching for medical information. Moe Alsumidaie highlights the takeaways.

Graham Francis looks at how increased levels of data integrity and the shift in pharma's organizational culture impacts labeling.

Pharm Exec talks to Rob Johnson, managing partner and co-founder of Alacrita, about pharma’s relationship with medical imaging.

Looking at the balance of optimism and caution discussed at eyeforpharma Barcelona around pharma’s embrace of AI.

Three ways AR can bolster pharma commercialization strategies.

For companies that overcome the challenges, there is tremendous opportunity to drive sustainable growth through technology and analytics-driven business innovation, writes Vita Cassese.

Innovations in consumer genetic health are rapidly advancing-and pharma commercial thinking needs to catch up.

Adhering to new compliance legislation such as Identification of Medicinal Products (IDMP) can bring a pharma company benefits as well as challenges, writes Darren Cooper.

Rather than looking at what their peers are doing in digital health, pharma companies need to anticipate new challengers in the healthcare industry, writes Kal Patel.

This blog discusses the benefits of the pharma industry adopting the idea that media is data.

Are the technologies and assumptions at the heart of healthcare AI trustworthy?

This article discusses real-time data capture and analytics in clinical trials.

Danish Gupta discuss the current strengths and weaknesses of artificial intelligence applications in life sciences.

Using intelligent automation of content creation can turn master product data into business value, writes Siniša Belina.

mHealth devices and apps that continuously monitor patient symptoms and help with adherence also are likely to reshape medical practice – and with it the products pharma produce, writes Vicki Anastasi.

Five predictions on evolution of data and predictive insights that could be critical for pharma go-to-market strategies.

William King offers five predictions on evolution of data and predictive insights that could be critical for pharma go-to-market strategies.