Google Research and Google DeepMind have developed a new LLM called Tx-LLM for drug discovery and therapeutic development by fine-tuning from PaLM-2. Tx-LLM targets 66 tasks in drug discovery and utilizes PaLM-2 technology. It was trained using 709 datasets and constructs the TxT collection for drug synergy prediction by combining free-text instructions and representations of small molecules. Tx-LLM outperformed state-of-the-art models on 43 tasks and showed positive transfer between datasets. The use of artificial intelligence in drug discovery is a growing trend, with companies like Absci and IBM collaborating with pharmaceutical giants to expedite novel treatments. The HIMSS AI in Healthcare Forum will discuss advancements in AI technology in healthcare.
Source link
Google creates Tx-LLM for drug discovery and therapeutic development
#cancer #dermatology #diabetes #fitness #health #medicine #neurology #nutrition #obesity #orthopedics #pediatrics #telemedicine #wellness Alternative Medicine Cardiovascular Children’s Health Chronic Diseases Clinical Trials Dentistry Diet Drug Research Exercise Geriatrics Global Health Health Insurance Healthcare Industry Healthcare Policy Immunology Infectious Diseases Medical Education Medical Ethics Medical Research Medical Technology Men’s Health Mental Health Nursing Occupational Therapy Optometry Pharmaceuticals Physical Therapy Preventive Care Public Health Rare Diseases Rehabilitation Reproductive Health Senior Health Sexual Health Speech Therapy Vaccines Women’s Health