Search results: cancer

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Deep learning for rapid and robust fluorescence lifetime imaging
Deep-learning approach has the potential to unlock fluorescent lifetime imaging for clinical applications. Fluorescence lifetime imaging microscopy (FLIM) is a widely used tool for biomedical imaging that offers many unique advantages over typical intensity-based fluorescence microscopy. FLIM is advancing fundamental biological research by enabling...
Published: 1/25/2021   |   Inventor(s): Hsin-Chih (Tim) Yeh, Yuan-I Chen, Yin-Jui Chang, Shih-Chu Liao, Trung Nguyen, Soonwoo Hong, Yu-An Kuo, Hsin-Chin Li
Keywords(s): Artificial intelligence (AI), Cancer, Diagnostics, Imaging, Machine learning, Medical imaging, Microscopy
Category(s): Life sciences > Diagnostic, Life sciences > Imaging > Microscopy
Improved drug delivery for solid tumors
A novel formulation paving the way for pancreatic cancer therapeuticsProblemPancreatic cancer therapeutics have a success rate of less than 8%. The solid nature of the tumor in pancreatic cancer renders the current standard of care, chemotherapy drugs, less effective. Unfortunately, the problem lies not with the drugs themselves, but with the drug delivery...
Published: 1/25/2021   |   Inventor(s): Debadyuti Ghosh, Xinquan Liu
Keywords(s): Cancer, Drug delivery, Drug development, Drugs, Pharmaceuticals
Category(s): Life sciences > Pharmaceuticals > Small molecule, Life sciences > Pharmaceuticals > Drug delivery
Early detection of cancer from blood draw
Problem Eight million people die from cancer each year, and 90% of these deaths happen in cases where the cancer has spread throughout the body from the initial tumor site.1 In the early stages of cancer, tumor cells can shed from the primary mass and enter the bloodstream. Clinicians can glean important information about the tumor from these circulating...
Published: 1/13/2021   |   Inventor(s): Livia Eberlin, Ruth Katz, Alena Bensussan, Tanweer Zaidi
Keywords(s): Cancer, Diagnostics, Mass spectrometry
Category(s): Life sciences > Medical devices, Life sciences > Diagnostic