A high drug failure rate is more than just a pattern recognition problem. Here's how we can address some of the root causes.

Drug discovery and development is an extremely lengthy and ... despite ‘successfully’ passing preclinical testing, costing pharma companies billions of dollars each year 2, 3, 4.

Surely, one of these worthy but relatively unsung AI applications is drug development ... For example, its AI-based tools picked 20 preclinical candidates in an average of 13 months.

This includes identifying targets in the body, screening potential candidates, designing drug ... of the process. While AI may be able to reduce the time and cost of the lab-based preclinical ...

The potential of using artificial intelligence in drug discovery ... at each step of the process. While AI may be able to reduce the time and cost of the lab-based preclinical stages of this ...

Manas AI secures funding led by General Catalyst to scale AI-driven drug discovery, tackling cancer and rare diseases.

By offering access to turnkey vivarium research facilities with expert services and compliance oversight, Mispro's contract vivarium (CV) solution offers biopharma companies access to state-of-the-art ...

Protheragen launches a full spectrum of ophthalmic drug preclinical R&D services to streamline the complex process of developing effective therapies for eye diseases. Protheragen, a reputable research ...

Integral Molecular, a leader in antibody discovery technologies, is proud to announce that the FDA has accepted their ...