At MICCAI 2018, IBM researchers present their latest findings in applying deep learning to overcome some technical challenges in medical image analysis.
Could you make a critical health policy decision using four-year old data?
Scientists from IBM, UCSF, Stanford University, and the University of Haifa are engineering a new antiviral agent against viruses such as polio.
Could tiny ink spots, the size of a pinhead, fight counterfeiting medical tests? We believe the answer is yes.
IBM Research is collaborating with industry and academic partners to investigate how IoT, AI and cloud technologies can advance home-based integrated care for persons with multiple chronic diseases.
IBM Research developed a deep learning model to predict how many times someone will visit the emergency room, which may help to alleviate ER overcrowding.
Half of the 2018 class of IBM Fellows - IBM's highest technical honor - hails from IBM Research.
IBM scientists demonstrate a technique designed for the stop-and-go control of the flow of liquids in capillary-driven microfluidic chips, in the journal Applied Physical Letters.
Scientists developed a new class of macromolecules designed to selectively kill cancer cells, while ignoring healthy ones.
In 2016, I had a bacterial infection that I acquired after a routine knee surgery. Fortunately, my immune system reacted favorably to antibiotics, but had the bacteria been a “superbug,”...
CellCycleTRACER is a supervised machine learning algorithm which classifies and sorts single-cell mass cytometry data according to their cell cycle, and enables correction for cell-cycle-state and cell-volume heterogeneity – essentially...