Drug Research

Nimbus Therapeutics has announced that it has entered into a multi-year research partnership and a $1.3 billion exclusive license agreement with Eli Lilly in order to develop oral treatments in obesity as well as other metabolic diseases. Lilly, which very...

Sanofi and Earendil Labs have announced a strategic collaboration effort that goes on to apply the discovery platform from Earendil across many of the Sanofi autoimmune and inflammatory disease programs. The two AI-powered research and development platforms from Earendil Labs concerning protein therapeutics go on...

Insilico Medicine has gone ahead with a multi-year research and development - R&D collaboration with Servier, of almost $888m, in order to develop and discover certain new oncology therapies. The partnership combines the AI drug discovery platforms of Insilico...

The development of complex biological molecules requires a specialized toolkit distinct from traditional small-molecule chemistry. This article details the critical laboratory equipment—from advanced bioreactors to high-resolution characterization tools—that enables the precise engineering and rigorous analysis required for successful biologics and biosimilar innovation.

Advanced technologies such as AI-integrated high-throughput screening platforms and automated assay systems are fundamentally transforming early-stage pharmaceutical research. These innovations address critical bottlenecks in productivity and data quality, enabling research teams to accelerate timeline-to-candidate selection while enhancing the predictive accuracy of drug discovery campaigns.

Shift from traditional R&D metrics focused on milestone completion and budget adherence to outcome-based, value-focused metrics that measure strategic impact, learning velocity, and long-term portfolio health while aligning organizational behavior with strategic objectives.

Align limited resources with complex pharmaceutical portfolios through capacity forecasting, skills-based planning, and dynamic resource reallocation, improving execution outcomes without increasing costs or overburdening teams.