Life Sciences

• Identifying biomarkers for boxed warnings on marketed products

• Drug/chemical discovery & analysis

• Crunching study results

• Identifying negative responses (monitor social networks for early problems with drugs)

• Diagnostic test development
  • Hardware devices
  • Software

• Diagnostic targeting (CRM)

• Predicting drug demand in different geographies for different products

• Predicting prescription adherence with different approaches to reminding patients

• Putative safety signals

• Social media marketing on competitors, patient perceptions, KOL feedback

• Image analysis or GCMS analysis in a high throughput manner

• Analysis of clinical outcomes to adapt clinical trial design

• COGS optimization

• Leveraging molecule database with metabolic stability data to elucidate new stable structures