AI could review data sets to assist clinical scientists ...

Developing high-quality, safe, and effective drugs is a complex process that requires varied scientific skills and stringent regulatory assessments. Drug development is a process that spans many years ...

Explore the role of BD&L in R&D decision-making. Understand its impact on funding and market intelligence for scientists.

From antibiotic resistance to emerging viral threats, the global demand for new medicines is intensifying, yet traditional drug discovery pipelines remain slow and expensive. A new scientific review ...

The potential of using artificial intelligence in drug discovery and development has sparked both excitement and skepticism among scientists, investors, and the general public. Researchers have ...

AI is transforming drug discovery, but accurately predicting patient responses remains challenging. Considering the ongoing need to connect drugs with the right patients and rising drug costs, ...

Summary of US Food and Drug Administration Chimeric Antigen Receptor (CAR) T-Cell Biologics License Application Approvals From a Statistical Perspective This review highlights strategies to integrate ...

The pharmaceutical industry is experiencing its own “DeepSeek moment,” according to science writer Hiya Jain. Just as the upstart AI breakthrough caught Silicon Valley off-guard, China is emerging as ...

Researchers have applied AI and machine learning to every stage of the drug development process. This includes identifying targets in the body, screening potential candidates, designing drug molecules ...

While massive amounts of quantitative data have accumulated across the pipeline of a drug candidate's initial discovery up through its production process, knowledge of and data analysis for each of ...