The Congressional Budget Office (CBO) informs Congress about the costs or revenue changes associated with proposed legislation, a challenging enough task on its own. Sometimes, the CBO is asked to ...

Find out how AI influences drug discovery, enabling earlier predictions and reducing the risks in clinical development.

Dr. Helen Chen Professor, School of Public Health Sciences Faculty of Health Bing Ho PhD Candidate, Cheriton School of ...

AlphaFold, a transformative AI-driven tool developed by DeepMind, has revolutionized the field of structural biology by accurately predicting protein structures. This breakthrough holds significant ...

Researchers headed by teams at the Advanced Science Research Center at the CUNY Graduate Center (CUNY ASRC) and Memorial Sloan Kettering Cancer Center have developed what they describe as a ...

Inflation and the Covid-19 pandemic have put pharmaceutical productivity front and center in recent years. Thus, drug companies are under mounting pressure to prove that new treatments are safe and ...

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 ...

Large language models (LLMs) can be broadly applied across multiple key stages in drug development: (1) Target identification and drug screening. Llama-Gram, GPCR LLM, and ProtChat systems effectively ...

In January, the U.S. Food and Drug Administration (FDA) issued its first guidance on the use of artificial intelligence (AI)[1] models in drug development and in regulatory submissions titled, ...

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 ...