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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Flexible Imager Based on Graphene‐Silicon Heterojunction Array
Flexible imagers play fundamental roles in electronic eyes, biomedical monitoring, robotics, and satellite technologies, while crosstalk-free multiplexing of large pixel arrays remains a bottleneck. Two popular ways to mitigate crosstalk require external components — passive matrices with blocking diodes and active matrices with phototransistors/active backplanes, which increase fabrication complexity, reduce fill factor, and limit mechanical adaptability.
A Network‐Driven Framework for Drug Response Precision Prediction of Acute Myeloid Leukemia (Adv. Sci. 36/2025)
Graphical Abstract Drug Response Precision Prediction In article number 2506447, Jing Tang, Yinyin Wang, and co-workers present NetAML, a novel network-based precision medicine platform that systematically develops drug sensitivity prediction models for 87 clinical drugs using ex vivo drug responses and their RNA-Seq. NetAML offers a powerful strategy to identify clinically actionable biomarkers, and supporting the development of optimized, patient-specific therapeutic regimens.
A Network‐Driven Framework for Drug Response Precision Prediction of Acute Myeloid Leukemia
1 Introduction Acute Myeloid Leukemia (AML) is a clinically and genetically heterogeneous disease, characterized by the clonal expansion of abnormal hematopoietic progenitors. Standard treatments for AML, such as induction chemotherapy and stem cell transplantation, yield a five-year survival rate of only 29%.[1] Despite advancements in chemotherapy, a significant proportion of AML patients are ineligible for intensive treatment due to age or comorbidities.
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