Our team of IBM researchers published research in Radiology around a new AI model that can predict the development of malignant breast cancer in patients within the year, at rates comparable to human radiologists.
IBM and Johns Hopkins University School of Medicine Discover Unique, Pathogenic Autoimmune Cells in Type 1 Diabetes
Researchers at JHU and IBM identify new cells involved in the autoimmune attack on insulin-producing cells in type 1 diabetes.
New continuous-flow approach to chemical synthesis holds promise in accelerating therapeutic discovery for drug-resistant infectious diseases and cancer.
New research combining the power of brain modeling, IBM’s AI, and the IBM Cloud sheds light on how brain cells interact in Huntington’s disease.
A comprehensive analysis of tumor ecosystems that represents an important step in research that may lead to precision medicine approaches to treat breast cancer.
IBM scientists use crowdsourcing and AI techniques to explore what different types of conversational laughter can tell us.
IBM Research and New York University are using AI to analyze retina imaging data and help to assess the presence of glaucoma.
New research shows that the number of mitochondria in a cell is associated with drug resistance, which could have a far-reaching impact in cancer treatment.
Biophysics-inspired AI tools would provide a richer amount of information to support intraoperative decisions of surgeons during removal of cancerous tissue.
IBM’s collaboration with The Michael J. Fox Foundation aims to better understand Parkinson's disease (PD), a chronic, degenerative neurological disorder.
Grip strength is a useful metric in a surprisingly broad set of health issues. It has been associated with the effectiveness of medication in individuals with Parkinson’s disease, the degree of cognitive function in schizophrenics, the state of an individual’s cardiovascular health, and all-cause mortality in geriatrics. At IBM Research, one of our ongoing challenges […]
Recent times have witnessed significant progress in natural language understanding by AI, such as machine translation and question answering. A vital reason behind these developments is the creation of datasets, which use machine learning models to learn and perform a specific task. Construction of such datasets in the open domain often consists of text originating […]