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 ...

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.

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 ...

Artificial intelligence and machine learning are being embedded in every aspect of the drug discovery and development process. In the preclinical stages, for example, companies are using advanced AI ...

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 ...

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 ...

Traditionally, developing a new drug takes many years and requires a massive financial investment, often involving significant risk and a high likelihood of failure. AI models trained on extensive ...

While ChatGPT, released in 2022, brought advances in generative AI into the consumer domain, many advances in deep learning and generative AI for drug discovery were made in the past decade. My first ...