Pulmonary research is evolving. With the continuous growth of high-throughput imaging and genomics technologies, and the organization of patients into large cohorts, massive amounts of data are being generated to address critical questions in pulmonary health today. Uncovering disease mechanisms, identifying early prognostic signals, or evaluating the effects of novel drug compounds all require finding robust, generalizable patterns from large datasets. In this era of big data, mathematical and statistical literacy, as well as computational skills are becoming indispensable for advancing pulmonary science. DataLung aims to promote these skills among lung scientists by providing PhD candidates, postdocs, and clinician scientists with the necessary training to excel in the era of big data.
The DZL Academy Mentoring Program is designed to foster the growth of young researchers in the field of lung research. It aims to strengthen scientific careers through targeted guidance, networking, and individual support from experienced mentors within or outside the DZL.
