AI Articles and Analysis in Pharma

Easing Patient Pain Points Between Healthcare and Insurance Workflows – v.3-1-min

Easing Patient Pain Points Between Healthcare and Insurance Workflows – with Tom Hayes and Gareth Dabbs of IQVIA

The applications of AI in the healthcare and life sciences industries are vast, with data-powered algorithms and analytics promising to upend the status quo. Applications, including the use of AI to interpret medical imaging, optimize drug discovery and development, analyze large-scale data sets to identify patterns among patient populations, and streamline provider workflows, are already transforming the industry. 

Overcoming Cultural and Technological Hurdles for AI Integration in Life Sciences-1-min

Overcoming Cultural and Technological Hurdles for AI Integration in Life Sciences – with Daniel Ferrante of Deloitte

Far beyond surface-level 'chatbot' software, and other customer-facing support systems, the same generative AI (GenAI) capabilities having direct impacts across language workflows in front-office tasks in financial and legal services is also having a direct impact on how research teams in the life sciences space are targeting solutions for rare diseases and novel treatments. 

Header graphics – Sanofi-1-min

Artificial Intelligence at Sanofi

Sanofi is a global healthcare and pharmaceutical company. Founded in 1973, it aims to unlock and maximize the potential of critical medicines, vaccines, and self-care solutions for individuals. It accomplishes this across four global business units: Specialty Care, Vaccines, General Medicines, and Consumer Healthcare. 

01 – Artificial Intelligence at IQVIA@1x-min

Artificial Intelligence at Dell

Dell Technologies Inc., or simply 'Dell', is a Texas-based multinational technology company. Dell is predominantly known for its personal computing products, particularly its desktops, laptops, and workstations. Gradually, the company branched out into other product and service offerings, including network equipment, software and cloud solutions, and automation services.

The Future of IT in Life Sciences-1

The Future of IT in Life Sciences – with Steven Zhang of Deloitte

This interview analysis is sponsored by Deloitte and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

Reducing Hallucinations and Streamlining Drug Discovery Workflows with Generative AI@1x

Reducing Hallucinations and Streamlining Drug Discovery Workflows with Generative AI – with Asif Hasan of Quantiphi

This interview analysis is sponsored by Quantiphi and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

AI Opportunities for
Life Sciences R&D-1

AI Opportunities for Life Sciences R&D – with Andrew Bolt of Deloitte

This interview analysis is sponsored by Deloitte and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

01 – Building Trust in Data Science in Life Sciences@1x-min

Building Trust in Data Science in Life Sciences – Bikalpa Neupane of Takeda Pharmaceuticals

AI and data science have seen increased use in life sciences, particularly in the pharmaceutical industry. However, despite the multitude of AI use cases, pharmaceutical companies tend not to embrace every emerging AI trend eagerly.