Artificial intelligence (AI) has the potential to greatly improve health care globally by expanding access to health services, according to Google's chief health officer, Karen DeSalvo. Through initiatives such as using AI to monitor search queries for potential self-harm, as well as developing low-cost ultrasound devices and automated screening for tuberculosis, AI can address health-care access gaps and improve patient outcomes.
DeepMind, in partnership with Google Cloud, has developed SynthID, a tool for watermarking and identifying AI-generated images, specifically those created by Google's image-generating model Imagen, in an effort to empower people with knowledge of AI-generated content and prevent the spread of misinformation.
The AI Insight Forum, led by Chuck Schumer, is set to discuss artificial intelligence regulations with tech industry giants, although it has faced criticism for its exclusion of common voices; meanwhile, Google's DeepMind has launched a beta version of SynthID, a watermarking tool for identifying synthetic content in generative AI.
Researchers have used artificial intelligence to diagnose and predict the risk of developing various diseases, including Parkinson's disease and heart failure, by analyzing images of a person's retinas, achieving better results than previous AI models; meanwhile, a "Pandora's box" of new protein shapes has been discovered through the analysis of over 200 million predicted protein structures.
Deep Genomics has released its AI foundation model, BigRNA, which accurately predicts RNA expression mechanisms and binding sites, as well as the effects of genetic variants and therapeutic candidates, potentially revolutionizing drug discovery and RNA therapeutics.
Researchers have successfully used artificial intelligence (AI) tools, such as AlphaFold, to map the structure of a protein from the Langya henipavirus, a virus related to some deadly pathogens, allowing them to develop a prototype vaccine and highlighting the potential of AI in preparing for future pandemics.
Researchers from Harvard Medical School and the University of Oxford have developed an artificial intelligence tool called EVEscape, which can predict the emergence of new viral variants, including those of SARS-CoV-2, HIV, and influenza, providing valuable information for the development of vaccines and therapies.
A new AI tool called EVEscape uses evolutionary and biological information to predict how a virus could change to escape the immune system, potentially aiding in the development of vaccines and therapies for SARS-CoV-2 and other rapidly mutating viruses.
Researchers from the University of California San Diego have mapped gene switches in different types of brain cells, identifying the links between specific cell types and neuropsychiatric disorders, and using AI to predict the effects of high-risk gene variants.
