Computational drug discovery and design integrates advanced computer‐aided methodologies with chemical and biological insights to accelerate the identification and optimisation of therapeutic agents.

Machine learning in drug discovery, along with artificial intelligence, is transforming the pharmaceutical industry by accelerating the development of new treatments. Historically, the process of ...

The startup has partnered with Eli Lilly and enjoys the backing of some of Silicon Valley's most influential VCs.

Converge Bio, the AI platform for accelerated drug discovery and development, announced today $25 million in Series A funding, bringing its total raised to $30 million. The round was led by Bessemer ...

SOUTH SAN FRANCISCO, Calif.--(BUSINESS WIRE)--insitro, a pioneer in machine learning for drug discovery and development, today announced a new collaboration with Eli Lilly and Company (Lilly) to ...

A paper authored by experts from Google and Stanford (Calif.) University proposed using machine learning techniques to aid in the lengthy process of drug discovery. The paper, called “Massively ...

The pharmaceutical industry is on the verge of a significant transformation due to the emergence of artificial intelligence ...

Explore the impact of drug discovery automation in 2026, addressing complexity and improving decision-making across ...

Figure 1. This figure depicts the four categories of protein druggability target screening tools discussed in this section, which include structure-based methods, sequence-based methods, machine ...

Lantern Pharma Inc. (NASDAQ: LTRN), a pioneer in AI-driven precision oncology and computational therapeutic development, today announced the establishment of an A.I. Center of Excellence and Advanced ...

How are we improving the way the field of drug discovery creates machine learning algorithms to predict a protein’s interactions with a small molecule? The drug development pipeline is a costly and ...

Computational drug discovery and design embodies the integration of advanced computational methods, machine learning, and cheminformatics to streamline the identification and optimisation of ...