The emergence of AI and biosensors offers a chance to address inefficiencies in drug development.

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 ...

Designing an efficient platform is crucial for any industrial process. This design process is known as process development, and it has become increasingly important in the pharmaceutical industry at ...

The collaboration marks a turning point in AI-driven drug design and trial forecasting, de-risking the drug development ...

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 ...

Outsourcing is driving biopharma efficiency and scale, including in the drug discovery area and early phase development.

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 ...

The Food and Drug Administration (FDA) development and approval process for drugs and medical devices involves multiple phases that ensure the safety and effectiveness of products before and after ...

AstraZeneca's $15 billion pledge to its China operations highlights the country's advantages. But other regions are also hoping to host more clinical studies.