Capturing spatial information is essential to elucidate how cells function and interact within their native tissue environment. However, the initial spatial transcriptomics techniques have several ...
STANFORD, California, USA, 24 June 2025 – In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain ...
Co-first author Jiyuan Yang, PhD, St. Jude Department of Computational Biology and co-senior and corresponding author Jiyang Yu, PhD, St. Jude Department of Computational Biology interim chair look at ...
How AI, robotics, and modular design are transforming single-cell and spatial biology into scalable, precision-driven engines of discovery.
Nearly a year after expanding from single cell omics solutions into spatial biology, Takara Bio USA has launched a series of updates to its product portfolio designed to bring its new class of spatial ...
GSK licenses Noetik’s AI foundation models in anchor partnership to transform cancer therapeutic research and development ...
New model extracts stiffness and fluidity from AFM data in minutes, enabling fast, accurate mechanical characterization of living cells at single-cell resolution. (Nanowerk Spotlight) Cells are not ...
A research team led by Professor Takuya Yamamoto and Assistant Professor Ryusaku Matsumoto (Department of Life Science Frontiers) has developed a machine learning model that enables early prediction ...
How do tertiary lymphoid structures influence immunotherapy outcomes in Merkel cell carcinoma? Spatial proteomics reveals key ...
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