BrainAlignNet, AutoCellLabeler, and CellDiscoveryNet—to automatically track and identify neurons in moving worms and jellyfish.
Studycat introduces a vocabulary-first French learning track that helps kids build core words through play, with ...
Abstract: Transfer learning in robotics aims to transfer knowledge across different robot agents or tasks. Current methods in trajectory tracking problems leverage transferred knowledge to provide a ...
Single cells interact continuously to form a cell environment that drives key biological processes. Cells and cell environments are highly dynamic across time and space, fundamentally governed by ...
Proteins are the molecular machines of cells. They are produced in protein factories called ribosomes based on their blueprint—the genetic information. Here, the basic building blocks of proteins, ...
Abstract: It is significant to employ multiple autonomous underwater vehicles (AUVs) to execute the underwater target tracking task collaboratively. However, it's pretty challenging to meet various ...
IBI3003 targets BCMA, GPRC5D, and CD3, addressing resistance in relapsed/refractory multiple myeloma after four prior therapies. Phase 1/2 study showed an 83.3% overall response rate, with significant ...
Complex sugar-protein molecules that sense external messages to help a cell grow or respond to its environment can now be tracked and analyzed, using a Nobel Prize-winning chemistry technique. A ...
Of all the types of breast cancer, triple negative breast cancer (TNBC) is the most aggressive and lacks specific therapies. TNBC is also more likely to metastasize, or travel through the bloodstream ...
A map of the immune cell landscape found in the bone marrow of patients with multiple myeloma could shed light on how the immune system interacts with cancerous plasma cells. It could also help ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results