Lung Cancer Detection Using Machine Learning Workflow

New computational method links individual cells to patient outcomes

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to ...

Science Daily

New blood test could catch pancreatic cancer before it’s too late

A new blood test could change the outlook for one of the deadliest cancers—pancreatic cancer—by catching it much earlier than ...

Scientific Research Publishing

A Multimodal Machine-Learning Framework for Predicting Lithium-Associated Renal Dysfunction from Synthetic Biomarker Trajectories ()

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...

News Medical

DNA nanomachine strategy reverses chemoresistance in small cell lung cancer

Professor Chao Zhang's team at Zhujiang Hospital, Southern Medical University, has developed a novel DNA nanomachine-based drug delivery and release strategy aimed at overcoming chemoresistance in ...

Frontiers

Machine learning: predicting lymph node metastasis around the entrance point to the recurrent laryngeal nerve in cN0 papillary thyroid carcinoma

We retrospectively reviewed 1,800 patients with cN0-PTC who underwent central lymph node dissection (CLND) with systematic LN-epRLN sampling. Histopathological evaluation confirmed metastatic status.

Cancer Research

A Deep Learning Framework Integrating Tumor Microenvironmental Features Accurately Predicts Multiple Driver Gene Mutations in Lung Cancer Pathology Images

1Department of Pathology, The Second Xiangya Hospital, Central South University, Changsha, China.

IEEE

Show inaccessible results

New computational method links individual cells to patient outcomes

New blood test could catch pancreatic cancer before it’s too late

A Multimodal Machine-Learning Framework for Predicting Lithium-Associated Renal Dysfunction from Synthetic Biomarker Trajectories ()

DNA nanomachine strategy reverses chemoresistance in small cell lung cancer

Machine learning: predicting lymph node metastasis around the entrance point to the recurrent laryngeal nerve in cN0 papillary thyroid carcinoma

A Deep Learning Framework Integrating Tumor Microenvironmental Features Accurately Predicts Multiple Driver Gene Mutations in Lung Cancer Pathology Images

LungNet: An Interpretable Machine Learning Framework for Early Lung Cancer Detection Using Structured Clinical Data

Lung Cancer Detection Using EfficientNet-B0 Features: A Comparative Analysis of XGBoost, SVM, and Decision Tree

Life-saving early detection could prevent lung cancer deaths worldwide