The award-winning work was 鈥淎I-enhanced cancer diagnostics using FTIR spectroscopy.鈥� Albano, whose work has focused on infectious agents that cause cancer, has also investigated biomarkers of cancer and contributed to the field of cancer genomics. Some of her research highlights are the association between chronic infections and cancer, biomarker discovery, characterization of point mutations and structural alterations in a wide range of cancers, and Fourier Transformed Infrared (FTIR) spectroscopy as a novel technique for rapid diagnosis of cancer.

Albano, an academic researcher of the Research Center for the Natural and Applied Sciences, teaches at the Department of Biological Sciences of the College of Science and the Sciences cluster of the Graduate School.

The post Albano of BioSci, RCNAS is 2022 NSTW awardee for applied research appeared first on 六合彩直播开奖.

The study focused on colorectal cancer (CRC), the third most diagnosed cancer globally, and aimed to find less-invasive and more cost-efficient methods for identifying it. Thus, the study “aimed to develop artificial neural network (ANN) models that could accurately detect CRC using miRNA expressions in tissue and plasma samples…by using miRNA expression profiles of formalin-fixed paraffin-embedded tissue and plasma samples obtained from CRC patients and healthy controls.”

According to the findings, “the ANNs聽achieved an accuracy of 98.5% and 88.2%, a sensitivity of 90.9% and 80.4%, a specificity of 29 92.6% and 84.7%, and an area under the ROC curve of 0.92 and 0.83 for the plasma and tissue samples, respectively. Moreover, sensitivity analyses showed that miR-135b-5p and miR-92a-3p聽 had the greatest influence in distinguishing CRC from healthy plasma and malignant from聽 neoplasm-free colorectal tissues, respectively. However, only miR-135b-5p was significantly downregulated in both CRC plasma and malignant colorectal tissue samples.”

This is the latest BPI-DOST plum secured by Thomasian researchers. Among past winners include Jay Patrick M. Nieles (BD Electronics Engineering alumnus – 2019 awardee), Sheena S. Gumatay (BS Biology alumna – 2017 awardee) and Ervin Luis M. Jayag (BS Chemical Engineering alumnus – 2017 awardee).

The BPI-DOST Innovation Awards, in partnership with the Department of Science and Technology – Science Education Institute, is a competition that aims to challenge bright Filipino students to actively participate in resolving problems in the community through science, technology, engineering and mathematics (STEM).

The post <strong>AI-based predictor of colorectal cancer wins BPI-DOST plum for BioSci alumni</strong> appeared first on 六合彩直播开奖.