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 ...

The Computational Analysis of Novel Drug Opportunities (CANDO) platform is a computational approach to make drug discovery faster and less expensive while also being safe and effective. According to ...

Google Research and Google DeepMind recently released a paper announcing the creation of a new LLM for drug discovery and therapeutic development dubbed Tx-LLM, fine-tuned from PaLM-2. Tx-LLM utilizes ...

Google DeepMind has unexpectedly released the source code and model weights of AlphaFold 3 for academic use, marking a significant advance that could accelerate scientific discovery and drug ...

Generative AI based on Large Language Models (LLMs), the technology behind popular tools like ChatGPT and Google Gemini, is revolutionizing various industries, including the world of drug discovery.

A new AI tool has been shown to identify treatments designed to reverse disease states in cells up to 25 times quicker, more efficiently and more accurately than previous models. Researchers from ...

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 ...

Drug discovery has traditionally been slow and expensive, often taking decades and costing manufacturers billions. Traditional methods, while advancing, are hitting limits in tackling the complexities ...

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 ...