Recent advancements in deep learning have transformed the analysis of blood cell images and the classification of leukemia. By employing complex neural network architectures, such as convolutional ...
Treatment modalities and survival outcomes in patients with hepatocellular carcinoma with brain metastases (HCC-BM): A large national study. This is an ASCO Meeting Abstract from the 2025 ASCO Annual ...
A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach ...
Recently, Assoc. Prof. Bo Peng (Northwestern Polytechnical University) and Prof. Lin Li (Xiamen University), et ...
Researchers at the Josep Carreras Leukaemia Research Institute have demonstrated that combining data from different origins ...
Researchers have unveiled CREsted, a comprehensive software powerhouse. CREsted doesn’t just describe how DNA works; it allows scientists to design entirely new, synthetic enhancers—short DNA ...
Machine Learning and Single-Cell Technology Combined to Drive High-Performance Cell Line Development
The integrated approach is designed to adapt to the evolving needs of new therapeutic modalities, delivering both speed and performance.
Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream ...
Understanding how genes are switched on and off in specific cell types remains one of biology's central challenges. While AI ...
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