Jennifer Lovick
Jennifer Lovick/researchgate.net

Jennifer Lovick: September Research Highlights from Technology in Cancer Research and Treatment

Jennifer Lovick, Executive Editor of Gold Open Access Journals at Sage, shared a post on LinkedIn:

“Explore the latest research from Technology in Cancer Research and Treatment’s September round-up, featuring in-depth studies and reviews.

See all articles published in September.

Featured articles of the month:

Title: Multi-cancer Detection Using Pattern Formation in Drying Body Fluids: A Systematic Review and Meta-Analysis of Diagnostic Test Accuracy Studies

This study shows that diagnostic patterning tests using dried body fluids can detect over 50 cancer types with high sensitivity and specificity.

You can read the Full Article in TCRT.

Jennifer Lovick: September Research Highlights from Technology in Cancer Research and Treatment

Title: Integrating Peritumoral and Intratumoral Radiomics with Deep Learning for Preoperative Prediction of Lymphovascular Invasion in Invasive Breast Cancer Using DCE-MRI

This study shows that combining peritumoral/intratumoral radiomics and deep learning with clinical data enables precise preoperative prediction of lymphovascular invasion in invasive breast cancer.

You can read the Full Article in TCRT.

Jennifer Lovick: September Research Highlights from Technology in Cancer Research and Treatment

Title: CAMSAP3 Suppresses Breast Cancer Metastasis and Serves as an Independent Prognostic Marker

This study shows that CAMSAP3 acts as a metastasis suppressor and an independent prognostic marker in breast cancer.

You can read the Full Article in TCRT.

Jennifer Lovick: September Research Highlights from Technology in Cancer Research and Treatment

Title: B7-H3 and CD39 Co-Localization in Gastric Cancer: A Potential Prognostic Biomarker and Potential Dual-Target for Immunotherapy

This study shows that B7-H3 and CD39 co-localization in gastric cancer is a potential prognostic biomarker and dual-target for immunotherapy.

You can read the Full Article in TCRT.

Jennifer Lovick: September Research Highlights from Technology in Cancer Research and Treatment

Title: EfficientNetSwift: A Lightweight and Precise Deep Learning Model for Detecting Oral Squamous Cell Carcinoma Using Pathological Images

This study shows that EfficientNetSwift, a novel lightweight deep learning model, achieves highly accurate automated detection of oral squamous cell carcinoma from pathology images.

You can read the Full Article in TCRT.

Jennifer Lovick: September Research Highlights from Technology in Cancer Research and Treatment

Title: Differentiation and Localization of Adjacent Murine Tumors Using X-ray and Bioluminescence Tomography

This study shows that combining X-ray CT and bioluminescence tomography with a novel reconstruction strategy enables precise localization and quantification of multiple adjacent tumors in live mice.

You can read the Full Article in TCRT.”

Jennifer Lovick: September Research Highlights from Technology in Cancer Research and Treatment

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