Approved NLST Projects
Here you can browse the complete list of projects for NLST whose requests for data/biospecimens were approved.
| Name | Principal Investigator | Institution | Study | Date Approved | Project ID |
|---|---|---|---|---|---|
| Machine Learning Analysis for Lung Cancer Progression | Anderson Nnewihe | Johnson & Johnson Enterprise Innovation, Inc. | NLST | Oct 18, 2022 | NLST-973 |
| Comparative analysis of the cost-effectiveness and implementation of lung cancer screening with LDCT in the US and EU | Tanya Rajabi | Semmelweis University | NLST | Oct 11, 2022 | NLST-968 |
| Lung cancer risk assessment | Adam Vasserstrom | Nucleix | NLST | Oct 11, 2022 | NLST-965 |
| Synthetic generation and tagging of CT and pathology images | Jonathan Pearson | NHS Commissioning Board (NHS England) | NLST | Sep 28, 2022 | NLST-961 |
| AI based lung nodule detection and measurement tool for CT imaging of the chest | Mohammed Amro | Synthesis Health Intelligence Inc. | NLST | Sep 28, 2022 | NLST-960 |
| Leveraging Machine Learning to Optimize Donor Recipient Size Matching in Heart Transplantation | Veli Topkara | Columbia University Medical Center | NLST | Sep 20, 2022 | NLST-959 |
| Analyzing Pulmonary Nodules to Spot Lung Cancer in Low-Dose CT scans | Cheng He | Mirxes Labs Pte. Ltd., Singapore | NLST | Sep 8, 2022 | NLST-958 |
| Similar patch image retreival for cancer diagnosis | Moti Moravia | Datability | NLST | Sep 6, 2022 | NLST-954 |
| Eye-tracking to find missed Lung Nodules | Gregory DiGirolamo | University of Massachusetts, Chan Medical School | NLST | Sep 6, 2022 | NLST-953 |
| Improving detection of lung cancer using radiomics and blood-based biomarkers | Kate Bloch | The University of Manchester | NLST | Sep 6, 2022 | NLST-951 |
| Self-supervised multi-modal neural networks for predicting response to immunotherapy in lung cancer patients. | Raquel Perez-Lopez | Vall d'Hebron Institute of Oncology | NLST | Sep 6, 2022 | NLST-950 |
| Automated pulmonary nodule tracking – development and evaluation | Yiting Xie | Merative | NLST | Aug 29, 2022 | NLST-949 |
| A semi-supervised deep clustering framework for personalized post-test risk-stratification in lung cancer screening | Stefano Diciotti | Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" (DEI), Alma Mater Studiorum - University of Bologna | NLST | Aug 2, 2022 | NLST-942 |
| Microsimulation model for lung cancer screening in New Zealand | Nokuthaba Sibanda | Victoria University of Wellington | NLST | Jul 14, 2022 | NLST-935 |
| Computed tomographic detection of necrotic lung nodules | TIMOTHY CLOUSER | Quantitative Imaging Solutions, LLC | NLST | Jul 12, 2022 | NLST-930 |
| AI Information Design in Radiological Decision Making | Pranav Rajpurkar | Harvard Medical School | NLST | Jun 22, 2022 | NLST-926 |
| Evaluating Predictors of Improved Outcomes Among Patients Undergoing Surgery for Lung Cancer | Chi-Fu Jeffrey Yang | Massachusetts General Hospital | NLST | Jun 21, 2022 | NLST-922 |
| AI Empowered CT guided Robot Assisted Needle Targeting | SIANG LEONG | NDR MEDICAL TECHNOLOGY PRIVATE LIMITED | NLST | Jun 21, 2022 | NLST-923 |
| Machine Learning to identify airway disease | Amir Sharafkhaneh | Baylor College of Medicine | NLST | Jun 13, 2022 | NLST-921 |
| Machine-learning-based recurrence prediction in lung cancer | Pawel Badura | Silesian University of Technology | NLST | May 23, 2022 | NLST-916 |