Despite significant progress in medicinal chemistry and life sciences research, drug discovery and development remain slow and expensive, taking on average approximately 15 years and US$2 billion to ...

Artificial intelligence (AI) can accelerate drug development, reduce costs, and improve treatment efficacy, but faces challenges like data quality and regulatory hurdles. Over 900 FDA-approved ...

Regina Barzilay is a School of Engineering Distinguished Professor of AI & Health in the department of computer science and the AI faculty lead at MIT Jameel Clinic. She develops machine learning ...

Avner Schlessinger, PhD, right, working with his lab researchers at Mount Sinai AI Small Molecule Drug Discovery Center in New York City. [Mount Sinai] Most breakthrough discoveries are made based on ...

In 2025, Generative AI will prove transformational for drug discovery in the healthcare industry. With the use of deep learning and advanced algorithms, generative AI can promote acceleration in the ...

New approach methodologies (NAMs) aim to address the limitations of animal models by assessing drug efficacy and safety in a more ethical, human-relevant way. The term ‘NAMs’ encompasses several ...