What is the minimal description that captures a space? Asking a mathematician’s basic question of a biological dataset reveals interesting answers about biology itself. This summarizes our underlying approach to subtyping hematological cancer. Disease subtyping is a central tenet of precision medicine, and is the challenging task of identifying and classifying patients with similar presentations […]
Why do targeted cancer therapies often fail? We have acquired so much more understanding about cancer in the last fifty years than in the last five thousand years. Approaches to patient treatments have dramatically changed, and statistics show significant improvement in patient response and outcomes to therapy in the last half a century . Yet […]
Using microfluidic probe, IBM scientists perform microscale IHC on tissue sections with a gradient of incubation times for the primary antibody.
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 researchers launch the first in-depth, large scale study of time courses when different antibodies appear, and their correlations to type 1 diabetes.
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.