Cognitive Computing

Champaign, IL — A new study shows that it is possible to use the genetic sequences of a person’s antibodies to predict what pathogens those antibodies will target. Reported in the journal Immunity, the new approach successfully differentiates between antibodies against influenza and those attacking SARS-CoV-2, the virus that causes COVID-19. “Our research is in […]

Ann Arbor, MI — In a small but multi-institutional study, an artificial intelligence-based system improved providers’ assessments of whether patients with bladder cancer had complete response to chemotherapy before a radical cystectomy (bladder removal surgery). Yet the researchers caution that AI isn’t a replacement for human expertise and that their tool shouldn’t be used as […]

Washington, DC — Researchers have developed a new image reconstruction approach that could contribute to better breast cancer detection. The deep learning algorithm overcomes a major hurdle in multi-modality imaging by allowing images to be recovered in real time. In Optica, Optica Publishing Group’s journal for high-impact research, the researchers described the new algorithm, known […]

Cambridge, MA — Neural networks are sometimes called black boxes because, despite the fact that they can outperform humans on certain tasks, even the researchers who design them often don’t understand how or why they work so well. But if a neural network is used outside the lab, perhaps to classify medical images that could […]

Ideal algorithms in healthcare have 6 desirable characteristics: explainable, dynamic, precise, autonomous, fair, and reproducible. Image Link: https://plos.io/3t05pMv Image: Loftus et al., 2022

Tokyo, Japan — The RIKEN Center for Brain Science (CBS) in Japan, along with colleagues, has shown that the free-energy principle can explain how neural networks are optimized for efficiency. Published in the scientific journal Communications Biology, the study first shows how the free-energy principle is the basis for any neural network that minimizes energy […]

Moscow, Russia — The iMolecule group from Skoltech has developed an artificial intelligence-driven solution that uses data on the structure of RNA or DNA molecules to identify sites on them where interaction with potential drug candidates can occur. Knowledge of these binding sites allows pharmaceutical companies to discover new medications — including antiviral agents — in a much more focused […]

Singapore — Researchers from the Low Energy Electronic Systems (LEES) Interdisciplinary Research Group (IRG) at Singapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, together with collaborators at the Massachusetts Institute of Technology (MIT), National University of Singapore (NUS) and Nanyang Technological University (NTU) have discovered a novel way to perform ‘general […]

Hyogo, Japan — Researchers at Kobe University and Osaka University have successfully developed artificial intelligence technology that can extract hidden equations of motion from regular observational data and create a model that is faithful to the laws of physics. This technology could enable us to discover the hidden equations of motion behind phenomena for which […]

Seattle, WA — Scientist are now combining recent advances in evolutionary analysis and deep learning to build three-dimensional models of how most proteins in eukaryotes interact. (Eukaryotes are organisms whose cells have a membrane-bound nucleus to hold genetic materials.)   The research effort has implications for understanding the biochemical processes that are common to all […]

Augusta, GA — A new “image analysis pipeline” is giving scientists rapid new insight into how disease or injury have changed the body, down to the individual cell. It’s called TDAExplore, which takes the detailed imaging provided by microscopy, pairs it with a hot area of mathematics called topology, which provides insight on how things […]

London, UK — The images and accompanying data available for training artificial intelligence (AI) to spot skin cancer are insufficient and include very few images of darker skin, according to research presented at the NCRI Festival and published in Lancet Digital Health. AI is increasingly being used in medicine as it can make diagnosis of diseases […]