首页|Findings from College of Medicine and Science in the Area of Nanomechanical Desc ribed (Machine Learning-based Approach for Automated Classification of Cell and Extracellular Matrix Using Nanomechanical Properties)
Findings from College of Medicine and Science in the Area of Nanomechanical Desc ribed (Machine Learning-based Approach for Automated Classification of Cell and Extracellular Matrix Using Nanomechanical Properties)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on Nanotechnology - Nanomec hanical have been published. According to news originating from Jacksonville, Fl orida, by NewsRx correspondents, research stated, "Fibrosis characterized by exc ess accumulation of extracellular matrix (ECM) due to complex cell-ECM interacti ons plays a pivotal role in pathogenesis. Herein, we employ the pancreatic ducta l adenocarcinoma (PDAC) model to investigate dynamic alterations in nanomechanic al attributes arising from the cell-ECM interactions to study the fibrosis parad igm." Financial supporters for this research include National Institutes of Health (NI H) - USA, NIH National Heart Lung & Blood Institute (NHLBI), Flori da Department of Health (Cancer Research Chair Fund), Florida Department of Heal th, Mayo Clinic Pancreatic Cancer SPORE Career Enhancement Award, Jay and Deanie Stein Career Development Award for Cancer Research at Mayo Clinic Jacksonville, Eagles fifth District Cancer Telethon-Cancer Research Fund, Benefactor Funded C hampions for Hope Pancreatic Cancer.
JacksonvilleFloridaUnited StatesNo rth and Central AmericaCellular StructuresCollagenCyborgsEmerging Techno logiesExtracellular MatrixExtracellular Matrix ProteinsExtracellular SpaceMachine LearningNanomechanicalNanotechnologyCollege of Medicine and Scie nce
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