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Government Funding Lapse

Because of a lapse in government funding, the information on this website may not be up to date, transactions submitted via the website may not be processed, and the agency may not be able to respond to inquiries until appropriations are enacted. The NIH Clinical Center (the research hospital of NIH) is open. For more details about its operating status, please visit  cc.nih.gov. Updates regarding government operating status and resumption of normal operations can be found at OPM.gov.

Here you can browse the complete list of projects on CDAS whose requests for data/biospecimens were approved.

Name Principal Investigator Institution Study Date Approved Project ID
Deep Learning for Pathology Image Analysis Lily Peng Google PLCO May 16, 2017 PLCO-257
Computer Vision AI to Diagnose Lung Cancer from CT Images Peter Szoldan MedInnoScan Kft. NLST May 12, 2017 NLST-306
Machine Learning Methods for Nodule Detection and Classification Xiaohui Xie University of California, Irvine NLST May 11, 2017 NLST-304
Outcomes associated with significant incidental findings in lung cancer screening Ilana Gareen Brown University NLST May 10, 2017 NLST-308
Effect of Dietary Omega-3 fatty acids and GPR120 Single Nucleotide Polymorphisms on Prostate Cancer Chemoprevention William Aronson University of California Los Angeles PLCO May 8, 2017 PLCO-274
Primary treatment assignment, time-to-treatment, and prostate cancer outcomes in PLCO Dudith Pierre-Victor National Cancer Institute PLCO May 3, 2017 PLCO-273
Automatic Detection and Classification System for Lung Lesion Takashi Shirahata Hitachi, Ltd. NLST Apr 27, 2017 NLST-302
Using Deep Learning for Cancer Nodule Detection Ashish Gupta Auburn University NLST Apr 25, 2017 NLST-300
Defining the role of lipids and metabolic factors as risk factor for prostate cancer and prostate cancer aggressiveness. A PhD project Adel Aref The University of Adelaide Freemasons Foundation Centre for Men’s Health South Australian Health and Medical Research Institute PLCO Apr 20, 2017 PLCO-272
Clinical and cost effectiveness of lung cancer screening by low-dose CT Chris Hyde University of Exeter NLST Apr 20, 2017 NLST-301
Use of neural networks in tissue abnormality detection Rafal Grzeszczuk AGH University of Science and Technology NLST Apr 11, 2017 NLST-299
Melanoma GWAS Maria Teresa Landi NIH, NCI PLCO Apr 5, 2017 PLCO-268
Application of Deep Learning to Combine Clinical and Imaging Data to Localize, Characterize, and Prognosticate Lung Cancer Patients Jae Ho Sohn UCSF NLST Apr 4, 2017 NLST-297
Efficient estimation of AUC in nested case-control studies Anil Chaturvedi National Cancer institute PLCO Mar 31, 2017 PLCO-269
Germline genetics of metastasis: an across cancer analysis Lisa Mirabello National Cancer Institute, NIH PLCO Mar 29, 2017 PLCO-267
A case-crossover study of air pollution exposure and lung cancer related mortality in PLCO Jason Wong National Cancer Institute PLCO Mar 24, 2017 PLCO-264
Determining the prevalence and misclassification of perifissural nodules in the NLST. Anton Schreuder Radboudumc NLST Mar 22, 2017 NLST-296
Detection and Diagnosis of Lung Cancer with Deep Learning Shan Li Zephex Technology NLST Mar 21, 2017 NLST-295
Temporal dietary patterns and diet quality Yikyung Park Washington University in St. Louis IDATA Mar 20, 2017 IDATA-11
Time-Varying Measurement Error Models Raymond Carroll Texas A&M University IDATA Mar 20, 2017 IDATA-10