Most of the breakthrough science in pharma continues to come from emerging biotechs, while the size, scale, expertise and connections of big pharma are still essential. How strategies are evolving in this situation was the subject of ‘Early-Stage Pharma Partnering – Building a Strategy For Success’, a big pharma panel at the LSX World Congress in London on 4 May.
What Do They Want? Securing The Big Pharma Deal
Partnering has changed in many ways in the last 18 months. Financial markets have all but closed to start-ups and investors are consolidating asset bases in the expectation of relatively high inflation continuing for the next few years.
More from Deal-Making
• By
Laura Lane, European head of Lilly Ventures, talked to In Vivo at the recent Bio-Europe meeting in a fireside chat about how strategic investments are shaping the future of biotech, Lilly's approach to early-stage innovation, and the evolving European investment landscape.
• By
TechBio stands at a critical inflection point, where computational innovation meets the reality of biopharma. Industry leaders have begun to cut through the hype and identify where sustainable value truly lies in this rapidly evolving landscape.
• By
Three $1bn+ alliances were penned in February, and one exceeded $2bn.
• By
An interactive look at pharma, medtech and diagnostics deals made during February 2025. Data courtesy of Biomedtracker.
More from In Vivo
• By
Bringing AI and digital healthtech innovation to patients works most efficiently via a three-way partnership in which clinicians and cloud services have equal weighting with a powerhouse innovator, Royal Philips told In Vivo during ECR 2025.
• By
Laura Lane, European head of Lilly Ventures, talked to In Vivo at the recent Bio-Europe meeting in a fireside chat about how strategic investments are shaping the future of biotech, Lilly's approach to early-stage innovation, and the evolving European investment landscape.
• By
As the health care industry undergoes a digital transformation, the integration of AI into Quality and Regulatory Management Systems is proving essential. The challenges for successful AI deployment emphasize the need for robust digital infrastructure, data literacy programs and privacy measures to enhance patient safety and commercial performance.